The rise in the global population of older adults underscores the significance to investigate age-related cognitive disorders and develop early treatment modalities. Previous research suggests that non-invasive transcranial Alternating Current Stimulation (tACS) can moderately improve cognitive decline in older adults. However, non-declarative cognition has received relatively less attention. This study investigates whether repeated (16-day) bilateral theta—gamma cross-frequency tACS targeting the Dorsolateral Prefrontal Cortex (DLPFC) enhances non-declarative memory. Computerized cognitive training was applied alongside stimulation to control for the state-of-the-brain. The Alternating Serial Reaction Time (ASRT) task was employed to assess non-declarative functions such as visuomotor skill and probabilistic sequence learning. Results from 35 participants aged 55–82 indicated that active tACS led to more substantial improvements in visuomotor skills immediately after treatment, which persisted 3 months later, compared to sham tACS. Treatment benefit was more pronounced in older adults of younger age and those with pre-existing cognitive decline. However, neither intervention group exhibited modulation of probabilistic sequence learning. These results suggest that repeated theta—gamma tACS can selectively improve distinct non-declarative cognitive aspects when targeting the DLPFC. Our findings highlight the therapeutic potential of tACS in addressing deficits in learning and retaining general skills, which could have a positive impact on the quality of life for cognitively impaired older individuals by preserving independence in daily activities.

Introduction: Previous studies suggest an association between cognitive flexibility and development of chronic pain after surgery. It is not known whether cognitive flexibility can be improved in patients with chronic pain.

Objectives: This study tested whether a neurocognitive training program results in improved cognitive flexibility and pain in patients with chronic pain.

Methods: We conducted a single-center, prospective, randomized study investigating 5-week daily neurocognitive training in patients with chronic pain. Participants (n = 145) were randomized into neurocognitive training or care as usual, and they completed assessments at baseline, posttreatment, and 3 months. The treatment group was asked to spend 35 minutes daily completing a program with tasks on cognitive flexibility, memory, attention, and speed. The primary outcome was performance on the neurocognitive performance test (NCPT). Secondary outcomes included levels of pain interference and severity.

Results: At 5 weeks, the treatment group showed greater improvements on NCPT compared with the control group (d = 0.37); effect size was smaller at 3 months (d = 0.18). The treatment group reported lower pain severity at 5 weeks (d = 0.16) and 3 months (d = 0.39) than the control group, but pain interference was only lower at 3 months (d = 0.20).

Conclusions: Outcomes suggest that using neurocognitive training to modify cognitive flexibility in patients with chronic pain may improve pain severity. This study provided effect size estimates to inform sample size calculations for randomized controlled trials to test the effectiveness of neurocognitive interventions for the prevention and treatment of chronic pain.

A Mediterranean diet (MedDiet) has emerged as a crucial dietary choice, not only in attenuating various adolescents’ metabolic health issues but it has also been associated with improved cognitive and academic achievement. However, few studies have established patterns of food consumption linked to both cognitive and academic achievement in adolescents living in a developing country with non-Mediterranean-based food. Methods: This cross-sectional study included 1296 Chilean adolescents (50% girls) aged 10–14 years. The MedDiet Quality Index was used to assess adherence to the MedDiet in children and adolescents. Through cluster analysis, four distinct dietary patterns were identified: Western diet (WD = 4.3%); low fruit and vegetables, high-sugar diet (LFV-HSD = 28.2%); low fruit and vegetables, low-sugar diet (LFV-LSD = 42.2%); and the MedDiet (25.3%). A mixed-model analysis was conducted to compare these clusters and their relationships with cognitive and academic achievements. Principal component analysis was performed to identify four primary cognitive domains: working memory, cognitive flexibility, inhibitory control, and fluid reasoning. Academic achievement was determined with five school subjects (Language, English, Mathematics, Science, and History) and included the Academic-PISA score derived from the mean scores in Language, Mathematics, and Science. Results: A marked difference was observed between the four clusters, which was mainly related to the consumption of sugar, ultra-processed foods, fruits, and vegetables. According to cognitive performance, the MedDiet group showed higher performance across all domains than the LFV-HSD, LFV-LSD, and WD groups. Regarding academic achievement, the WD underperformed in all analyses compared to the other groups, while the MedDiet was the unique profile that achieved a positive difference in all academic subjects compared to the WD and LFV-HSD groups (p < 0.05). Conclusions: These findings suggest that higher adherence to Mediterranean-style-based patterns and better food quality choices are associated with improved cognitive and academic achievements.

Objective
In tasks involving new visuospatial information, we rely on working memory, supported by a distributed brain network. We investigated the dynamic interplay between brain regions, including cortical and white matter structures, to understand how neural interactions change with different memory loads and trials, and their subsequent impact on working memory performance.

Methods
Patients undertook a task of immediate spatial recall during intracranial EEG monitoring. We charted the dynamics of cortical high-gamma activity and associated functional connectivity modulations in white matter tracts.

Results
Elevated memory loads were linked to enhanced functional connectivity via occipital longitudinal tracts, yet decreased through arcuate, uncinate, and superior-longitudinal fasciculi. As task familiarity grew, there was increased high-gamma activity in the posterior inferior-frontal gyrus (pIFG) and diminished functional connectivity across a network encompassing frontal, parietal, and temporal lobes. Early pIFG high-gamma activity was predictive of successful recall. Including this metric in a logistic regression model yielded an accuracy of 0.76.

Conclusions
Optimizing visuospatial working memory through practice is tied to early pIFG activation and decreased dependence on irrelevant neural pathways.

Significance
This study expands our knowledge of human adaptation for visuospatial working memory, showing the spatiotemporal dynamics of cortical network modulations through white matter tracts.

Background: Stroke often leads to cognitive impairment, which can significantly reduce one's independence as well as quality of life. Cognitive rehabilitation is a treatment strategy for restoring cognitive abilities following brain injuries. Cognitive functioning can be improved through the use of multimedia as well as informatics in computerized cognitive rehabilitation (CCR).

Purpose: to investigate the influence of a mobile application-based brain training program on cognitive functions as well as quality of life in post stroke patients.

Methodology: forty referred medically and radiologically diagnosed stroke patients from both genders experienced post stroke cognitive impairment (PSCI), aged from 45 to 60 years old, were randomized into two groups of the same number: a study group and a control group. The Study group received mobile application-based brain training program (Lumosity training application) as well as aerobic training on a bicycle ergometer, and the control group received only the aerobic training on a bicycle ergometer for 18 sessions every other day for 6 weeks, 3 sessions/week, each session for 60 minutes. All patients were evaluated with Computer-based cognitive device RehaCom, Addenbrooke’s Cognitive Examination Revised (ACE-R) test, Montreal Cognitive Assessment (MoCA) in addition to Stroke specific quality of life scale (SS-QoL) pre and post treatment.

Results: a significant difference has been detected among the two groups as the (p-value = 0.001) indicating that the study group reported enhancement in the cognitive functions as well as the quality of life more than the control group and there was a correlation between RehaCom, MoCA, ACE-R and SS-QoL.

Conclusion: This study showed that six weeks of mobile application-based brain training program (Lumosity training application) as well as aerobic training on a bicycle ergometer was a beneficial approach and is a successful treatment for patients suffering from (PSCI).

Importance Cognitive impairment is prevalent in survivors of stroke, affecting approximately 30% of individuals. Physical exercise and cognitive and social enrichment activities can enhance cognitive function in patients with chronic stroke, but their cost-effectiveness compared with a balance and tone program is uncertain.

Objective To conduct a cost-effectiveness and cost-utility analysis of multicomponent exercise or cognitive and social enrichment activities compared with a balance and tone program.

Design, Setting, and Participants This economic evaluation used a Canadian health care systems perspective and the Vitality study, a randomized clinical trial aimed at improving cognition after stroke with a 6-month intervention and a subsequent 6-month follow-up (ie, 12 months). The economic evaluation covered the duration of the Vitality trial, between June 6, 2014, and February 26, 2019. Participants were community-dwelling adults aged 55 years and older who experienced a stroke at least 12 months prior to study enrollment in the Vancouver metropolitan area, British Columbia, Canada. Data were analyzed from June 1, 2022, to March 31, 2023.

Interventions Participants were randomly assigned to twice-weekly classes for 1 of the 3 groups: multicomponent exercise program, cognitive and social enrichment activities program, or a balance and tone program (control).

Main Outcomes and Measures The primary measures for the economic evaluation included cost-effectiveness (incremental costs per mean change in cognitive function, evaluated using the Alzheimer Disease Assessment Scale–Cognitive-Plus), cost-utility (incremental cost per quality-adjusted life-year gained), intervention costs, and health care costs. Since cognitive benefits 6 months after intervention cessation were not observed in the primary randomized clinical trial, an economic evaluation at 12 months was not performed.

Results Among 120 participants (mean [SD] age, 71 [9] years; 74 [62%] male), 34 were randomized to the multicomponent exercise program, 34 were randomized to the social and cognitive enrichment activities program, and 52 were randomized to the balance and tone control program. At the end of the 6-month intervention, the cost per mean change in Alzheimer Disease Assessment Scale–Cognitive-Plus score demonstrated that exercise was more effective and costlier compared with the control group in terms of cognitive improvement with an incremental cost-effectiveness ratio of CAD −$8823. The cost per quality-adjusted life-year gained for both interventions was negligible, with exercise less costly (mean [SD] incremental cost, CAD −$32 [$258]) and cognitive and social enrichment more costly than the control group (mean [SD] incremental cost, CAD $1018 [$378]). The balance and tone program had the lowest delivery cost (CAD $777), and the exercise group had the lowest health care resource utilization (mean [SD] $1261 [$1188]) per person.

Conclusions and Relevance The findings of this economic evaluation suggest that exercise demonstrated potential for cost-effectiveness to improve cognitive function in older adults with chronic stroke during a 6-month intervention.

This paper uses new psychometric data to reconsider the composition of cities, the role of sorting in urban learning, and the generation of agglomeration economies more generally. The analysis establishes that individuals in large cities tend to have greater learning capacity. The spatial distribution of learning capacity is most strongly related to the age composition of cities, specifically to the location choices of young workers with high learning capacity. This indicates that observed patterns of dynamic agglomeration economies are influenced by the sorting of learners into cities. This, in turn, has implications for placed-based and other policies.

Objective: Although person-centred outcome measures have been recommended to evaluate cognitive rehabilitation interventions, few validated measures have been developed for this purpose. The current study examined aspects of feasibility, reliability and validity of a modified version of goal attainment scaling that uses a goal menu, calculator and control goals.

Method: Participants were N=25 female residents of a substance use disorder therapeutic community who were allocated to a four-week cognitive remediation (n=13) or treatment as usual (n=12) control group in a controlled sequential groups trial. Modified goal attainment scaling was used to set goals. Limited efficacy and efficiency, quality appraisal criteria, and convergent and discriminant validity of target and control goals were used to examine feasibility, reliability and content validity, and construct validity, respectively.

Results: Target goals were achieved at a higher rate than control goals for the Intervention, but not Control, group, with a medium effect size (r = 0.5). The approach was efficient and 44% of reliability and 75% of content validity criteria were met. Target goals correlated more strongly than control goals with the Behavior Rating Inventory of Executive Function - Adult version.

Conclusions: The modified approach to goal attainment scaling demonstrated aspects of feasibility, reliability and validity.

KEY POINTS
What is already known about this topic:
(1) Cognitive remediation is a promising intervention for people with substance use disorder.
(2) Goal attainment scaling captures individualised person-centred goals.
(3) There is much variability in the quality and application of goal attainment scaling.

What this topic adds:
(1) Modified goal attainment scaling is feasible in substance use disorder treatment research.
(2) Modified goal attainment scaling meets several reliability and validity criteria.
(3) Modified goal attainment scaling can be used to generate an effect size using nonpara- metric techniques.

Background Few treatment options are available for targeting core symptoms of autism spectrum disorder (ASD). The development of treatments that target common neural circuit dysfunctions caused by known genetic defects, namely, disruption of the excitation/inhibition (E/I) balance, is promising. Transcranial direct current stimulation (tDCS) is capable of modulating the E/I balance in healthy individuals, yet its clinical and neurobiological effects in ASD remain elusive.

Objective This double-blind, randomized, sham-controlled trial investigated the effects of multisession cathodal prefrontal tDCS coupled with online cognitive remediation on social functioning, information processing efficiency and the E/I balance in ASD patients aged 14–21 years.

Methods Sixty individuals were randomly assigned to receive either active or sham tDCS (10 sessions in total, 20 min/session, stimulation intensity: 1.5 mA, cathode: F3, anode: Fp2, size of electrodes: 25 cm2) combined with 20 min of online cognitive remediation. Social functioning, information processing efficiency during cognitive tasks, and theta- and gamma-band E/I balance were measured one day before and after the treatment.

Results Compared to sham tDCS, active cathodal tDCS was effective in enhancing overall social functioning [F(1, 58) = 6.79, p = .012, ηp2 = 0.105, 90% CI: (0.013, 0.234)] and information processing efficiency during cognitive tasks [F(1, 58) = 10.07, p = .002, ηp2 = 0.148, 90% CI: (0.034, 0.284)] in these individuals. Electroencephalography data showed that this cathodal tDCS protocol was effective in reducing the theta-band E/I ratio of the cortical midline structures [F(1, 58) = 4.65, p = .035, ηp2 = 0.074, 90% CI: (0.010, 0.150)] and that this reduction significantly predicted information processing efficiency enhancement (b = −2.546, 95% BCa CI: [-4.979, −0.113], p = .041).

Conclusion Our results support the use of multisession cathodal tDCS over the left dorsolateral prefrontal cortex combined with online cognitive remediation for reducing the elevated theta-band E/I ratio in sociocognitive information processing circuits in ASD patients, resulting in more adaptive regulation of global brain dynamics that is associated with enhanced information processing efficiency after the intervention.

Both acquired injuries and congenital malformations often cause lifelong disabilities in children, with a significant impact on cognitive abilities. Remote computerized cognitive training (CCT) may be delivered in ecological settings to favour rehabilitation continuity. This randomized clinical trial (RCT) evaluated the efficacy of an 8-week multi-domain, home-based CCT in a sample of patients aged 11-16 years with non-progressive acquired brain injury (ABI), brain tumor (BT) and congenital brain malformation (CBM). Following a stepped-wedge research design, patients were randomized into two groups: Training-first group, which started the CCT immediately after baseline assessment and Waiting-first group, which started the CCT after a period of time comparable to that required by the training (8 weeks). Post-training and long-term (6 months) changes were assessed. Both groups improved on visual-spatial working memory after the CCT, with benefits maintained after 6 months, while no other changes in cognitive or psychological measures were found. These findings suggest that a multi-domain CCT can generate benefits in visual-spatial working memory, in accordance with data from extant literature reporting that computer games heavily engage visuo-spatial abilities. We speculate that is tapping on the same cognitive ability with a prolonged training that may generate the greatest change after a CCT.

Introduction: Advances in digital technologies for health research enable opportunities for digital phenotyping of individuals in research and clinical settings. Beyond providing opportunities for advanced data analytics with data science and machine learning approaches, digital technologies offer solutions to several of the existing barriers in research practice that have resulted in biased samples.

Methods: A participant-driven, precision brain health monitoring digital platform has been introduced to two longitudinal cohort studies, the Boston University Alzheimer's Disease Research Center (BU ADRC) and the Bogalusa Heart Study (BHS). The platform was developed with prioritization of digital data in native format, multiple OS, validity of derived metrics, feasibility and usability. A platform including nine remote technologies and three staff-guided digital assessments has been introduced in the BU ADRC population, including a multimodal smartphone application also introduced to the BHS population. Participants select which technologies they would like to use and can manipulate their personal platform and schedule over time.

Results: Participants from the BU ADRC are using an average of 5.9 technologies to date, providing strong evidence for the usability of numerous digital technologies in older adult populations. Broad phenotyping of both cohorts is ongoing, with the collection of data spanning cognitive testing, sleep, physical activity, speech, motor activity, cardiovascular health, mood, gait, balance, and more. Several challenges in digital phenotyping implementation in the BU ADRC and the BHS have arisen, and the protocol has been revised and optimized to minimize participant burden while sustaining participant contact and support.

Discussion: The importance of digital data in its native format, near real-time data access, passive participant engagement, and availability of technologies across OS has been supported by the pattern of participant technology use and adherence across cohorts. The precision brain health monitoring platform will be iteratively adjusted and improved over time. The pragmatic study design enables multimodal digital phenotyping of distinct clinically characterized cohorts in both rural and urban U.S. settings.

Response time data collected from cognitive tasks are a cornerstone of psychology and neuroscience research, yet existing models of these data either make strong assumptions about the data-generating process or are limited to modelling single trials. We introduce task-DyVA, a deep learning framework in which expressive dynamical systems are trained to reproduce sequences of response times observed in data from individual human subjects. Models fitted to a large task-switching dataset captured subject-specific behavioural differences with high temporal precision, including task-switching costs. Through perturbation experiments and analyses of the models’ latent dynamics, we find support for a rational account of switch costs in terms of a stability–flexibility trade-off. Thus, our framework can be used to discover interpretable cognitive theories that explain how the brain dynamically gives rise to behaviour.

Background Computerized cognitive training (CCT) has emerged as a potential treatment option for mild cognitive impairment (MCI). It remains unclear whether CCT’s effect is driven in part by expectancy of improvement.

Objectives This study aimed to determine factors associated with therapeutic expectancy and the influence of therapeutic expectancy on treatment effects in a randomized clinical trial of CCT versus crossword puzzle training (CPT) for older adults with MCI.

Design Randomized clinical trial of CCT vs CPT with 78-week follow-up.
Setting Two-site study - New York State Psychiatric Institute and Duke University Medical Center.
Participants 107 patients with MCI.
Intervention 12 weeks of intensive training with CCT or CPT with follow-up booster training over 78 weeks.
Measurements Patients rated their expectancies for CCT and CPT prior to randomization.

Results Patients reported greater expectancy for CCT than CPT. Lower patient expectancy was associated with lower global cognition at baseline and older age. Expectancy did not differ by sex or race. There was no association between expectancy and measures of everyday functioning, hippocampus volume, or apolipoprotein E genotype. Expectancy was not associated with change in measures of global cognition, everyday functioning, and hippocampus volume from baseline to week 78, nor did expectancy interact with treatment condition.

Conclusions While greater cognitive impairment and increased age was associated with low expectancy of improvement, expectancy was not associated with the likelihood of response to treatment with CPT or CCT.

Background African Americans with MCI may be at increased risk for dementia compared to Caucasians. The effect of race on the efficacy of cognitive training in MCI is unclear.

Methods We used data from a two-site, 78-week randomized trial of MCI comparing intensive, home-based, computerized training with Web-based cognitive games or Web-based crossword puzzles to examine the effect of race on outcomes. The study outcomes were changes from baseline in cognitive and functional scales as well as MRI-measured changes in hippocampal volume and cortical thickness. Analyses used linear models adjusted for baseline scores. This was an exploratory study.

Results A total of 105 subjects were included comprising 81 whites (77.1%) and 24 African Americans (22.8%). The effect of race on the change from baseline in ADAS-Cog-11 was not significant. The effect of race on change from baseline to week 78 in the Functional Activities Questionnaire (FAQ) was significant with African American participants’ FAQ scores showing greater improvements at weeks 52 and 78 (P = 0.009, P = 0.0002, respectively) than white subjects. Within the CCT cohort, FAQ scores for African American participants showed greater improvement between baseline and week 78, compared to white participants randomized to CCT (P = 0.006). There was no effect of race on the UPSA. There was no effect of race on hippocampal or cortical thickness outcomes.

Conclusions Our preliminary findings suggest that web-based cognitive training programs may benefit African Americans with MCI at least as much as Caucasians, and highlight the need to further study underrepresented minorities in AD prevention trials. (Supported by the National Institutes of Health, National Institute on Aging; ClinicalTrials.gov number, NCT03205709.)

Objectives We evaluated the feasibility and preliminary efficacy of a home-based online chair yoga (OCY) program for racially and ethnically diverse rural community-dwelling older adults.

Methods We randomly assigned participants to OCY or a computer brain game (CBG). After a computer literacy training led by high school students, participants engaged in remotely supervised OCY or CBG in twice-weekly 45-minute sessions for 12 weeks. Outcome data (pain interference, cognitive function, mobility, computer skills) were collected at baseline, post-intervention, and 3-month follow-up.

Results A total of 32 eligible residents with mean age of 71 years participated in this intervention study. The interventions were feasible (100% recruitment rate, 96.8% retention rate, 100% safety rate). There were significant improvements in pain interference, cognitive function, mobility, and computer skills from baseline to follow-up among participants in both OCY and CBG but no significant differences in outcomes between groups.

Conclusions Preliminary results indicated that the CBG was as effective as online OCY in clinical outcomes in these participants. However, this should be confirmed in future studies.

Clinical Implications This telehealth-based intervention is feasible for older adults in rural and digitally underserved communities and could provide a strategy for delivering health-promoting interventions for home-bound older adults at risk for Alzheimer’s disease and related dementias (ADRD) and connect caregivers to online resources.

Background: Mild cognitive impairment (MCI) represents a high risk group for Alzheimer’s disease (AD). Computerized Cognitive Games Training (CCT) is an investigational strategy to improve targeted functions in MCI through the modulation of cognitive networks.

Objective: The goal of this study was to examine the effect of CCT versus a non-targeted active brain exercise on functional cognitive networks.

Methods: 107 patients with MCI were randomized to CCT or web-based crossword puzzles. Resting-state functional MRI (fMRI) was obtained at baseline and 18 months to evaluate differences in fMRI measured within- and between-network functional connectivity (FC) of the default mode network (DMN) and other large-scale brain networks: the executive control, salience, and sensorimotor networks.

Results: There were no differences between crosswords and games in the primary outcome, within-network DMN FC across all subjects. However, secondary analyses suggest differential effects on between-network connectivity involving the DMN and SLN, and within-network connectivity of the DMN in subjects with late MCI. Paradoxically, in both cases, there was a decrease in FC for games and an increase for the crosswords control (p < 0.05), accompanied by lesser cognitive decline in the crosswords group.

Conclusion: Results do not support a differential impact on within-network DMN FC between games and crossword puzzle interventions. However, crossword puzzles might result in cognitively beneficial remodeling between the DMN and other networks in more severely impaired MCI subjects, parallel to the observed clinical benefits.

Introduction The possible decline of cognitive functions with age has been in the focus of cognitive research in the last decades. The present study investigated effects of aging on conflict processing in a big dataset of a Stroop-inspired online training task.
Methods We focused on the temporal dynamics of conflict processing in the light of task practice by means of inspecting delta plots and Lorenz-interference curves to gain insights on a process level.
Results The results indicate a relatively constant increase of cognitive conflict over the course of adulthood and a decrease with practice. Furthermore, the latency of the automatic processing of conflicting information relative to the controlled processing of task-relevant information decreases relatively constantly with age. This effect is moderated by practice, that is, the relative latency of the automatic processing decreases less with age at high practice levels.
Conclusion As such, practice seems to be able to partially counteract age-related differences in conflict processing, on a process level.

Cognitive control refers to the ability to maintain goal-relevant information in the face of distraction, making it a core construct for understanding human thought and behavior. There is great theoretical and practical value in building theories that can be used to explain or to predict variations in cognitive control as a function of experimental manipulations or individual differences. A critical step toward building such theories is determining which latent constructs are shared between laboratory tasks that are designed to measure cognitive control. In the current work, we examine this question in a novel way by formally linking computational models of two canonical cognitive control tasks, the Eriksen flanker and task-switching task. Specifically, we examine whether model parameters that capture cognitive control processes in one task can be swapped across models to make predictions about individual differences in performance on another task. We apply our modeling and analysis to a large scale data set from an online cognitive training platform, which optimizes our ability to detect individual differences in the data. Our results suggest that the flanker and task-switching tasks probe common control processes. This finding supports the view that higher level cognitive control processes as opposed to solely strategies in speed and accuracy tradeoffs, or perceptual processing and motor response speed are shared across the two tasks. We discuss how our computational modeling substitution approach addresses limitations of prior efforts to relate performance across different cognitive control tasks, and how our findings inform current theories of cognitive control.

Effectiveness of innovative, gamified interventions (i.e., Augmented Reality, Computer-Based Cognitive Retraining [CBCR], and Virtual Reality [VR] in conjunction with a Serious Game) for cognitive training in paediatric ABI was evaluated. Studies were identified on PsycINFO, PubMed and Scopus; last searched 4 January 2022. Eligibility criteria were participants diagnosed with ABI and aged ≤ 18 years, experimental intervention to train cognition, cognition assessed pre- and post-intervention at: (1) The level of function, or (2) The level of activity, and written in English. ROB 2 and ROBINS-I were utilised to assess risk of bias. Extracted study characteristics were methods, participants, interventions, outcomes, and results. Seven studies were included, comprising six CBCR studies and one VR study, with 182 participants. Following CBCR: (1) Improvements were observed in several cognitive functions, but there was inconsistent evidence; (2) Improvements were reported in attention and executive functions (EF) at home and at school. Following VR: (1) Improvements were observed in attention and EF; (2) Not evaluated. Due to the small number of included studies with (relatively) small and heterogeneous samples, only a cautious interpretation of the evidence was provided. There is a need for carefully designed studies with more attention to inter-individual differences and generalisation to daily life.

Introduction Remote, internet-based methods for recruitment, screening, and longitudinally assessing older adults have the potential to facilitate Alzheimer's disease (AD) clinical trials and observational studies.

Methods The Brain Health Registry (BHR) is an online registry that includes longitudinal assessments including self- and study partner-report questionnaires and neuropsychological tests. New initiatives aim to increase inclusion and engagement of commonly underincluded communities using digital, community-engaged research strategies. New features include multilingual support and biofluid collection capabilities.

Results BHR includes > 100,000 participants. BHR has made over 259,000 referrals resulting in 25,997 participants enrolled in 30 aging and AD studies. In addition, 28,278 participants are coenrolled in BHR and other studies with data linkage among studies. Data have been shared with 28 investigators. Recent efforts have facilitated the enrollment and engagement of underincluded ethnocultural communities.

Discussion The major advantages of the BHR approach are scalability and accessibility. Challenges include compliance, retention, cohort diversity, and generalizability.

Highlights
- Brain Health Registry (BHR) is an online, longitudinal platform of > 100,000 members.
- BHR made > 259,000 referrals, which enrolled 25,997 participants in 32 studies.
- New efforts increased enrollment and engagement of underincluded communities in BHR.
- The major advantages of the BHR approach are scalability and accessibility.
- BHR provides a unique adjunct for clinical neuroscience research.

A growing body of evidence indicates that exposure to air pollution affects cognitive performance; however, few studies have assessed this in the context of repeated measures within a large group of individuals or in a population with a large age range. In this study, we evaluated the associations between long-term exposure to fine particulate matter (PM2.5) and ozone (O3) in large cohort of adults aged 18–90 years. The study cohort included 29,091 Lumosity users in the contiguous US who completed 20 repetitions of the Lost in Migration game between 2017 and 2018. Game scores reflect the ability to filter information and avoid distracting information. Long-term air pollution data included ambient PM2.5 and O3 averaged for the 365-day period before each gameplay date. Generalized linear models were used to examine the associations between long-term PM2.5 and O3 and game score percentile. Co-pollutant models were adjusted for meteorology, time trend, age, gender, device, education, local socioeconomic factors, and urbanicity. Results represent the change in attention game score percentile per 1 μg/m3 increase in PM2.5 or 0.01 ppm increase in O3. In the entire cohort, a −0.10 (95% CI: −0.16, −0.04) change in score percentile was associated with PM2.5, while no significant association was observed with O3. Modification of these associations by age was observed for both PM2.5 and O3, with stronger associations observed in younger users. In users aged 18–29, a −0.25 (−0.45, −0.05) change in score percentile was associated with PM2.5, while no associations were observed in other age groups. With O3, there was a −2.92 (−4.63, −1.19) and −2.81 (−4.29, −1.25) change in score percentile for users aged 18–29 and 30–39, respectively. We observed that elevated long-term PM2.5 and O3 were associated with decreased focus scores in young adults, but follow-up research is necessary to further illuminate these associations.

The positive relationship between aerobic capacity and cognitive performance is well known, but there is little information regarding young adults. Therefore, we aimed to test the hypothesis that aerobic capacity (VO2max) correlates with cognitive and academic performance in medical students who have higher academic achievement with academic performance. We included 65 volunteer medical students who were in term 2/6 in this descriptive, cross-sectional study. Body composition and the International Physical Activity Questionnaire and cardiopulmonary exercise test results of all participants were analyzed. Lumosity application with 6 categories of cognitive tests was applied to evaluate cognitive performance. The university entrance exam scores of the students were taken into consideration to assess their academic performance. We observed a significant "positive" relationship between aerobic capacity and some domains of cognitive performance, especially problem solving (p < 0.05), but we did not find a significant relationship between aerobic capacity and academic performance. Consequently, although we confirmed the existence of a positive effect of high aerobic capacity on cognitive performance stated in the literature, we couldn't confirm this for all cognitive domains or academic performance. These results suggest that more comprehensive studies on this subject are needed.

Background: Cognitive training (CT) may be beneficial in delaying the onset or slowing dementia progression. CT has been evaluated quantitatively and qualitatively, but none have used mixed methods approaches.
Objective: The aim of this study was to use a mixed methods approach to identify those who may selectively benefit from CT.
Methods: This was an explanatory sequential mixed methods study involving a quantitative randomized trial of 12 weeks multi-domain CT in healthy older adults (HC, n = 20), and people living with mild cognitive impairment (MCI; n = 12) and dementia (n = 24). Quantitative outcomes included: cognition, mood, quality of life, and activities of daily living. 28 (10 HC, 6 MCI, 12 dementia) training participants completed semi-structured interviews with their carer. Quantitative and qualitative data were integrated using joint displays.
Results: Three participants dropped out from the training early-on, leaving 25 participants with follow-up data for full integration (10 HC, 6 MCI, 9 dementia). Dropouts and lower adherence to training were more common in dementia participants with greater non-modifiable barriers. High adherers were more resilient to negative emotions, and poorer or fluctuating performance. Integrated analysis found the majority of participants (n = 24) benefited across outcomes, with no clear profile of individuals who benefited more than others. Participants made a number of key recommendations to improve adherence and minimize dropout to CT.
Conclusion: Reasons for dropout and low adherence were identified, with recommendations provided for the design of CT for dementia. An individual approach to training should be adopted and low adherence should not preclude engagement with CT.

Background: There is increasing evidence that long-term exposure to fine particulate matter [PM ≤ 2.5μm in aerodynamic diameter (PM2.5)] may adversely impact cognitive performance. Wildfire smoke is one of the biggest sources of PM2.5 and concentrations are likely to increase under climate change. However, little is known about how short-term exposure impacts cognitive function. Objectives: We aimed to evaluate the associations between daily and subdaily (hourly) PM2.5 and wildfire smoke exposure and cognitive performance in adults. Methods: Scores from 20 plays of an attention-oriented brain-training game were obtained for 10,228 adults in the United States (U.S.). We estimated daily and hourly PM2.5 exposure through a data fusion of observations from multiple monitoring networks. Daily smoke exposure in the western U.S. was obtained from satellite-derived estimates of smoke plume density. We used a longitudinal repeated measures design with linear mixed effects models to test for associations between short-term exposure and attention score. Results were also stratified by age, gender, user behavior, and region. Results: Daily and subdaily PM2.5 were negatively associated with attention score. A 10μg/m3 increase in PM2.5 in the 3 h prior to gameplay was associated with a 21.0 [95% confidence interval (CI): 3.3, 38.7]-point decrease in score. PM2.5 exposure over 20 plays accounted for an estimated average 3.7% (95% CI: 0.7%, 6.7%) reduction in final score. Associations were more pronounced in the wildfire-impacted western U.S. Medium and heavy smoke density were also negatively associated with score. Heavy smoke density the day prior to gameplay was associated with a 117.0 (95% CI: 1.7, 232.3)-point decrease in score relative to no smoke. Although differences between subgroups were not statistically significant, associations were most pronounced for younger (18-29 y), older (≥70y), habitual, and male users. Discussion: Our results indicate that PM2.5 and wildfire smoke were associated with reduced attention in adults within hours and days of exposure, but further research is needed to elucidate these relationships.

Objective: The aim of this study was to compare academic achievement, cognitive performance, playtime, bullying, and discrimination in adolescents according to traditional uniforms (TUs) and sports uniforms (SUs) worn at school, while simultaneously exploring the influence of the school vulnerability index. Methods: A total of 988 Chilean adolescents (52.6% boys) aged 10–14 years participated in this cross-sectional study. Academic achievement was evaluated by the average grade in maths, language, and science grades, while cognitive performance was assessed through eight cognitive tasks. TUs affecting physical activity, playtime, bullying, and discrimination were queried. Mixed model analyses were performed. Results: No differences were observed in academic achievement (TU: 5.4 ± 0.1 vs. SU: 5.5 ± 0.2, p = 0.785) or in cognitive performance (TU: 99.6 ± 0.8 vs. SU: 98.9 ± 1.8, p= 0.754) according to the school uniformtype. Moreover, 64.1 % of participants declared that wearing TU affects their physical activity (traditional uniforms: + 8 min and sports uniforms: + 20 min), and those who believed so spent more time playing than those who answered negatively (14.5 min, p = 0.012). Finally, adolescents wearing SU displayed a lower feeling of bullying and discrimination; this finding depended mainly on the school's vulnerability. Conclusion: It is concluded that wearing TU does not show an educational advantage at an academic and cognitive level that justifies its obligation. In addition, it could be suggested that schools consider adolescents' opinions in adopting a more comfortable uniform, such as the SU. This feasible and low-cost measure would help to increase adolescents' physical activity during the school day, and, contrary to belief, it would not be related to increased feelings of bullying and discrimination.

Background: Digital cognitive tests offer several potential advantages over established paper-pencil tests but have not yet been fully evaluated for the clinical evaluation of mild cognitive impairment.

Objective: The NeuroCognitive Performance Test (NCPT) is a web-based, self-directed, modular battery intended for repeated assessments of multiple cognitive domains. Our objective was to examine its relationship with the Alzheimer's Disease Assessment Scale-Cognition Subscale (ADAS-Cog) and Mini-Mental State Examination (MMSE) as well as with established paper-pencil tests of cognition and daily functioning in mild cognitive impairment (MCI).

Methods: We used Spearman correlations, regressions and principal components analysis followed by a factor analysis (varimax rotated) to examine our objectives.

Results: In MCI subjects, the NCPT composite is significantly correlated with both a composite measure of established tests (r = 0.78, p < 0.0001) as well as with the ADAS-Cog (r = -0.55, p < 0.0001). Both NCPT and paper-pencil test batteries had a similar factor structure that included a large "g" component with a high eigenvalue. The correlation for the analogous tests (e.g., Trails A and B, learning memory tests) were significant (p < 0.0001). Further, both the NCPT and established tests significantly (p < 0.0001) predicted the University of California San Diego Performance-Based Skills Assessment and Functional Activities Questionnaire, measures of daily functioning.

Conclusion: The NCPT, a web-based, self-directed, computerized test, shows high concurrent validity with established tests and hence offers promise for use as a research or clinical tool in MCI. Despite limitations such as a relatively small sample, absence of control group and cross-sectional nature, these findings are consistent with the growing literature on the promise of self-directed, web-based cognitive assessments for MCI.

Background: The clinical effects and neurophysiological mechanisms of prefrontal tDCS and concurrent cognitive remediation training in individuals with autism spectrum disorder (ASD) remain unclear.

Objective: This two-armed, double-blind, randomized, sham-controlled trial aimed to investigate the beneficial effects of tDCS combined with concurrent cognitive remediation training on adolescents and young adults with ASD.

Methods: Participants were randomly assigned to either active or sham tDCS groups and received 1.5 mA prefrontal tDCS with left dorsolateral prefrontal cortex (dlPFC) cathode placement and right supraorbital region anode placement for 20 minutes over two consecutive weeks. tDCS was delivered concurrently with a computerized cognitive remediation training program. Social functioning and its underlying cognitive processes, as well as prefrontal resting-state functional connectivity (rsFC), were measured.

Results: The results from 41 participants indicated that multisession prefrontal tDCS, compared to sham tDCS, significantly enhanced the social functioning of ASD individuals [F(1,39) = 4.75, p = .035, ηp2 = 0.11]. This improvement was associated with enhanced emotion recognition [F(1,39) = 8.34, p = .006, ηp2 = 0.18] and cognitive flexibility [F(1,39) = 4.91, p = .033, ηp2 = 0.11]. Specifically, this tDCS protocol optimized information processing efficiency [F(1,39) = 4.43, p = .042, ηp2 = 0.10], and the optimization showed a trend to be associated with enhanced rsFC in the right medial prefrontal cortex (ρ = 0.339, pFDR = .083).

Conclusion: Multisession tDCS with left dlPFC cathode placement and right supraorbital region anode placement paired with concurrent cognitive remediation training promoted social functioning in individuals with ASD. This appeared to be associated with the enhancement of the functional connectivity of the right medial PFC, a major hub for flexible social information processing, allowing these individuals to process information more efficiently in response to different social situations.

Trial registration: ClinicalTrials.gov (ID: NCT03814083).

Background: Computerized cognitive training (CCT) is an emerging alternative intervention for stroke survivors.

Objective: This study investigated the effects of CCT on the cognition, activity, and participation of stroke survivors and compared the findings with those of match-dosed conventional cognitive training.

Methods: This randomized controlled trial included 39 patients with stroke who were divided into the intervention group (n = 19; receiving CCT with Lumosity software) and the control group (n = 20; receiving conventional cognitive training). Both the groups were trained for 20 min, twice a week, for 12 weeks. Participants were evaluated at pretest, posttest, and 4-week follow-up. Outcome measures included various cognitive function tests and the Stroke Impact Scale scores.

Results: The CCT group exhibited significant improvement in global cognitive function (evaluated using the Mini-Mental State Examination and Montreal Cognitive Assessment) and specific cognitive domains: verbal working memory (backward digit span test), processing speed (Symbol Digit Modalities Test), and three MoCA subtests (attention, naming, and delayed recall). CCT exerted no significant effect on activities and participation. No significant between-group differences in changes in cognitive function were noted. However, CCT significantly improved cognitive function domains immediately after training, and these effects were sustained at the 4-week follow-up.

Conclusions: Cognitive function of individuals with chronic stroke could improve after administration of CCT. However, future studies with a more rigorous design and higher training dose are warranted to validate our findings.

We present a dataset of approximately 5.5 million subtest scores from over 750,000 adults who completed the NeuroCognitive Performance Test (NCPT; Lumos Labs, Inc.), a validated, self-administered cognitive test accessed via web browser. The dataset includes assessment scores from eight test batteries consisting of 5–11 subtests that collectively span several cognitive domains including working memory, visual attention, and abstract reasoning. In addition to the raw scores and normative data from each subtest, the dataset includes basic demographic information from each participant (age, gender, and educational background). The scale and diversity of the dataset provides an unprecedented opportunity for researchers to investigate population-level variability in cognitive abilities and their relation to demographic factors. To facilitate reuse of this dataset by other researchers, we provide a Python module that supports several common preprocessing steps.

Objectives: Dementia assessment includes cognitive and behavioral testing with informant verification. Conventional testing is resource-intensive, with uneven access. Online unsupervised assessments could reduce barriers to risk assessment. The aim of this study was to assess the relationship between informant-rated behavioral changes and participant-completed neuropsychological test performance in older adults, both measured remotely via an online unsupervised platform, the Brain Health Registry (BHR).

Design: Observational cohort study.

Setting: Community-dwelling older adults participating in the online BHR. Informant reports were obtained using the BHR Study Partner Portal.

Participants: The final sample included 499 participant-informant dyads.

Measurements: Participants completed online unsupervised neuropsychological assessment including Forward Memory Span, Reverse Memory Span, Trail Making B, and Go/No-Go tests. Informants completed the Mild Behavioral Impairment Checklist (MBI-C) via the BHR Study Partner portal. Cognitive performance was evaluated in MBI+/- individuals, as was the association between cognitive scores and MBI symptom severity.

Results: Mean age of the 499 participants was 67, of which 308/499 were females (61%). MBI + status was associated with significantly lower memory and executive function test scores, measured using Forward and Reverse Memory Span, Trail Making Errors and Trail Making Speed. Further, significant associations were found between poorer objectively measured cognitive performance, in the domains of memory and executive function, and MBI symptom severity.

Conclusion: These findings support the feasibility of remote, informant-reported behavioral assessment utilizing the MBI-C, supporting its validity by demonstrating a relationship to online unsupervised neuropsychological test performance, using a previously validated platform capable of assessing early dementia risk markers.

Practice in real-world settings exhibits many idiosyncracies of scheduling and duration that can only be roughly approximated by laboratory research. Here we investigate 39,157 individuals’ performance on two cognitive games on the Lumosity platform over a span of 5 years. The large-scale nature of the data allows us to observe highly varied lengths of uncontrolled interruptions to practice and offers a unique view of learning in naturalistic settings. We enlist a suite of models that grow in the complexity of the mechanisms they postulate and conclude that long-term naturalistic learning is best described with a combination of long-term skill and task-set preparedness. We focus additionally on the nature and speed of relearning after breaks in practice and conclude that those components must operate interactively to produce the rapid relearning that is evident even at exceptionally long delays (over 2 years). Naturalistic learning over long time spans provides a strong test for the robustness of theoretical accounts of learning, and should be more broadly used in the learning sciences.

Objective Our daily activities require frequent switches among competing responses at the millisecond time scale. We determined the spatiotemporal characteristics and functional significance of rapid, large-scale brain network dynamics during task switching. Methods This cross-sectional study investigated patients with drug-resistant focal epilepsy who played a Lumosity cognitive flexibility training game during intracranial electroencephalography (iEEG) recording. According to a given task rule, unpredictably switching across trials, participants had to swipe the screen in the direction the stimulus was pointing or moving. Using this data, we described the spatiotemporal characteristics of iEEG high-gamma augmentation occurring more intensely during switch than repeat trials, unattributable to the effect of task rule (pointing or moving), within-stimulus congruence (the direction of stimulus pointing and moving was same or different in a given trial), or accuracy of an immediately preceding response. Diffusion-weighted imaging (DWI) tractography determined whether distant cortical regions showing enhanced activation during task switch trials were directly connected by white matter tracts. Trial-by-trial iEEG analysis deduced whether the intensity of task switch-related high-gamma augmentation was altered through practice and whether high-gamma amplitude predicted the accuracy of an upcoming response among switch trials. Results The average number of completed trials during five-minute gameplay was 221.4 per patient (range: 171–285). Task switch trials increased the response times, whereas later trials reduced them. Analysis of iEEG signals sampled from 860 brain sites effectively elucidated the distinct spatiotemporal characteristics of task switch, task rule, and post-error-specific high-gamma modulations. Post-cue, task switch-related high-gamma augmentation was initiated in the right calcarine cortex after 260 ms, right precuneus after 330 ms, right entorhinal after 420 ms, and bilateral anterior middle-frontal gyri after 450 ms. DWI tractography successfully showed the presence of direct white matter tracts connecting the right visual areas to the precuneus and anterior middle-frontal regions but not between the right precuneus and anterior middle-frontal regions. Task-related high-gamma amplitudes in later trials were reduced in the calcarine, entorhinal and anterior middle-frontal regions, but increased in the precuneus. Functionally, enhanced post-cue precuneus high-gamma augmentation improved the accuracy of subsequent responses among switch trials. Conclusions Our multimodal analysis uncovered two temporally and functionally distinct network dynamics supporting task switching. High-gamma augmentation in the visual-precuneus pathway may reflect the neural process facilitating an attentional shift to a given updated task rule. High-gamma activity in the visual-dorsolateral prefrontal pathway, rapidly reduced through practice, may reflect the cost of executing appropriate stimulus-response translation.

Attention is a basic and main mental task and can play an important role in the functioning of other brain abilities such as intelligence, memory, learning, and perception, and its deficit occurs in 80% of patients with traumatic brain injury. The use of game-based tools for rehabilitation is rapidly expanding. Cognitive rehabilitation via video games is an emerging hot topic in cognitive science. Serious games serve a specific purpose in addition to entertainment. They can be more engaging than exercises since they replace reward and motivation systems with real-world motivations as a complement for rehabilitation activities. This study was aimed at identifying and categorizing serious computer games used for attention rehabilitation and evaluating their effects. Six electronic databases (Scopus, PubMed, ISI, Embase, IEEE, and Cochrane) were searched in August 2021. The search strategy consisted of three main concepts of "serious game", "cognitive deficits", and "cognitive rehabilitation". The inclusion criteria were (1) journal articles, (2) English language, (3) being published in the last 10 years, (4) human participants, and (5) game-based intervention. In the 30 included studies, 22 unique games were utilized for attention rehabilitation. Lumosity (20%), Brain Age (Dr. Kawashima's Brain Training) (10%), and MoHRS (6.66%) were the most common games among the studies. There were (57%) casual, (23%) action, (10%) simulation, and (10%) multiple genres. Of the 47 tools used in the studies, 5 utilized cross-modal oddball attention tasks, 4 utilized game performance, 3 utilized the paced auditory serial additional test (PASAT), and the rest employed other tools. A total of 73 outcome measures were related to attention, 42 measures did not have significant results, 30 were significantly improved, 1 was significantly deteriorated, and 4 articles did not have any specific measures for attention evaluation. Thus, the results revealed the positive effect of serious games on attention. However, issues such as absence of scientific teams, the variety of the disorders that cause defects, the variety of criteria, differences in measurements, lack of long-term follow-up, insufficient RCT studies, and small sample sizes should be considered when designing, developing, and using game-based systems to prevent bias.

Importance In the era of antiretroviral therapy (ART), the incidence of HIV-associated neurocognitive disorder (HAND) has not yet been controlled. With the exception of ART, there is no beneficial pharmacologic treatment. However, some studies have reported that computerized cognitive training (CCT) programs may improve cognitive function among people living with HIV.
Objective To examine the association between CCT programs and 8 domains measuring cognitive function (7 domains) and daily function (1 domain) among people living with HIV.
Data Sources Records from the Cochrane Library, PsycINFO, PubMed, and Web of Science were searched from database inception to December 15, 2020. Supplementary searches to identify missing studies were conducted in Google Scholar using updated search terms from database inception to November 18, 2021.
Study Selection Studies that compared changes before and after a CCT intervention among people living with HIV were included. Search terms were a combination of words associated with HIV (eg, people living with HIV, HIV, and/or AIDS) and cognitive training (eg, cognitive intervention, nonpharmacology intervention, computer game, video game, computerized training, cognitive exercise, cognitive stimulation, and/or cognitive enhancement). Studies were included if they (1) used CCT as the primary intervention or combined CCT with other types of interventions; (2) used placebo, passive control conditions, traditional cognitive training, or single training tasks as control conditions; (3) reported changes between baseline and posttraining; (4) included participants 18 years or older; and (5) were randomized clinical trials (RCTs). Studies were excluded if they (1) were not associated with HIV, (2) were research protocols or feedback reports, (3) were case reports, or (4) did not report findings for domains of interest.
Data Extraction and Synthesis Two reviewers independently extracted data. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Random-effects models were used to quantitatively synthesize the existing data.
Main Outcomes and Measures Primary outcomes were the meta-synthesized changes in each domain after CCT.
Results Among 1245 records identified, 1043 were screened after removal of duplicates. Of those, 1019 records were excluded based on titles and abstracts, and 24 full-text articles were assessed for eligibility. After exclusions, 12 eligible RCTs were selected for inclusion in the meta-analysis. These RCTs involved 596 total participants, with 320 individuals in the CCT group (mean age, 47.5-59.7 years; 0%-94% female; 8.3-14.2 years of education) and 276 individuals in the control group (mean age, 44.2-60.0 years; 19%-90% female; 9.0-14.9 years of education). The average HIV inhibition ratio (the proportion of participants who achieved virological suppression) ranged from 30% to 100%, and the CD4+ T-cell count ranged from 471 to 833 cells/μL. The time since training ranged from 3 to 24 weeks. After receipt of CCT, function significantly improved in 6 of the 8 domains: abstraction and executive function (standardized mean difference [SMD], 0.58; 95% CI, 0.26-0.91; P < .001), attention and working memory (SMD, 0.62; 95% CI, 0.33-0.91; P < .001), memory (SMD, 0.59; 95% CI, 0.20-0.97; P = .003), motor skills (SMD, 0.50; 95% CI, 0.24-0.77; P < .001), speed of information processing (SMD, 0.65; 95% CI, 0.37-0.94; P < .001), and daily function (SMD, 0.44; 95% CI, 0.02-0.86; P = .04). Sensory and perceptual skills (SMD, 0.06; 95% CI, −0.36 to 0.48; P = .78) and verbal and language skills (SMD, 0.46; 95% CI, −0.07 to 0.99; P = .09) did not significantly improve after CCT.
Conclusions and Relevance This meta-analysis of RCTs found that CCT programs were associated with improvements in cognitive and daily function among people living with HIV. Future studies are needed to design optimal specific training programs and use implementation science to enable the transformation of CCT from a scientific research tool to a real-world clinical intervention.

This is a follow-up study of our previous work, with a specific goal to examine whether older adults are able to maintain or show delayed cognitive and psychosocial benefits of executive function training and physical exercise over a period of 3.5 years on average. Thirty-four participants from the original training study (17 from the executive function training and 17 from the aerobic exercise group) returned and completed a single follow-up session on a set of cognitive and psychosocial outcome measures. The results of the returned follow-up sample showed some significant original training transfer effects in WCST-64 performance but failed to maintain these benefits at the follow-up session. Surprisingly, episodic memory performance showed some significant improvement at the follow-up relative to baseline, signaling delayed benefits. The findings add some novel implications for cognitive training schedule and highlight the possible importance of continuous engagement in long-term cognitive enhancement in healthy older adults.

Using data from a longitudinal viral challenge study, we find that the post-exposure viral shedding and symptom severity are associated with a novel measure of pre-exposure cognitive performance variability (CPV), defined before viral exposure occurs. Each individual’s CPV score is computed from data collected from a repeated NeuroCognitive Performance Test (NCPT) over a 3 day pre-exposure period. Of the 18 NCPT measures reported by the tests, 6 contribute materially to the CPV score, prospectively differentiating the high from the low shedders. Among these 6 are the 4 clinical measures digSym-time, digSym-correct, trail-time, and reaction-time, commonly used for assessing cognitive executive functioning. CPV is found to be correlated with stress and also with several genes previously reported to be associated with cognitive development and dysfunction. A perturbation study over the number and timing of NCPT sessions indicates that as few as 5 sessions is sufficient to maintain high association between the CPV score and viral shedding, as long as the timing of these sessions is balanced over the three pre-exposure days. Our results suggest that variations in cognitive function are closely related to immunity and susceptibility to severe infection. Further studying these relationships may help us better understand the links between neurocognitive and neuroimmune systems which is timely in this COVID-19 pandemic era.

Introduction: There are high rates of cognitive impairment among people seeking treatment for problematic substance use, which is rarely addressed in treatment programs. The aim of this pilot study was to evaluate the feasibility and outcomes of the neuropsychological and educational approach to cognitive remediation (NEAR) in a residential substance treatment setting.

Methods: A non-randomised trial conducted between November 2018 and November 2019, compared outcomes for 34 residents who received cognitive remediation (CR) plus treatment as usual (TAU) to 31 residents who received TAU only. Number of groups and attendance, and a measure of client satisfaction assessed feasibility. Cognitive function was assessed at baseline (service admission), and at 2 and 6 months post-admission.

Results: A total of 95 CR groups were delivered over a 36-week time period with a high degree of treatment fidelity and acceptability to participants. Cognitive outcomes improved across both the CR+TAU and TAU groups by 2 months, which was maintained at 6 months for outcomes related to executive functioning. There were no significant differences between the CR+TAU and TAU groups at 2 or 6 months, although a large effect size and confidence intervals indicated a potentially larger change in cognitive flexibility after receiving CR.

Discussion and conclusions: This study contributes to our understanding of the implementation of CR in the alcohol and other drug rehabilitation setting. It is feasible to incorporate the NEAR program in treatment. The small sample size and lower than expected treatment dose likely contributed to the lack of significant findings.

Brain training apps are becoming increasingly popular for at home use and as an adjunct to more traditional therapies. There is uncertainty about whether the effects of brain training transfer to real-world cognition, or performance on other cognitive assessment tests, or is specific only to the brain training app. Executive functions (EF’s) are higher-order cognitive processes important for activities of everyday living and autonomous goal-directed behaviour [1]. EF’s are associated with frontal brain networks that are susceptible to injury after head trauma and concussion so it is important to know whether these functions can be trained after a short training period (transfer effects beyond gains on app play), to general cognitive ability but findings so far have been mixed. The present study investigated efficacy of brief computerised brain training to in producing far-transfer effects to performance on standardised clinical tests of cognition in young rugby players with mixed concussion history, over a 4-week period. Athletes cognitive ability was assessed at baseline and after the training period on standardised tests to establish whether there were transfer effects. The putative relationship between concussion frequency and severity on baseline cognitive performance was also investigated. Results showed effective transfer effects from initial training to selective visuospatial executive functions. There was also a decline over the training period in non-verbal strategy initiation, although ability remained at average levels. Players showed no cognitive deficits at baseline, but correlational analyses and MR results indicated that concussion frequency, not severity, was a significant predictor of some visuospatial executive function scores at baseline. These preliminary findings hold promise for full scale studies investigating efficacy of brief brain training and association between sport-related concussion and cognition.

Background: Cognitive training (CT) has demonstrated benefits for healthy older adults (HG) and mild cognitive impairment (MCI), but the effects on vascular function are unknown.

Objective: This is a feasibility trial investigating the effects of CT on cerebral blood flow velocity (CBFv).

Methods: Twenty HG, 24 with Alzheimer's disease (AD), and 12 with MCI were randomized to 12 weeks of multi-domain CT or control. Outcomes included: cognition (Addenbrooke's Cognitive Examination III), mood, quality of life (QoL), physical, and neurovascular function (transcranial Doppler ultrasonography measured task activation of CBFv responses). Data are presented as mean difference (MD) and 95% confidence interval (CI).

Results: 47 participants completed the trial. There were three dropouts from the training arm in the AD group, and one in the HG group. The intervention was acceptable and feasible to the majority of participants with a high completion rate (89%). The dropout rate was higher among participants with dementia. Few changes were identified on secondary analyses, but QoL was significantly improved in HG post-training (MD: 4.83 [95% CI: 1.13, 8.54]). CBFv response rate was not significantly different in HG (MD: 1.84 [95% CI: -4.81, 1.12]), but a significant increase was seen in the patient group (MD: 1.79 [95% CI: 0.005, 3.58]), requiring sample sizes of 56 and 84 participants respectively for a fully-powered trial.

Conclusion: A 12-week CT program was acceptable and feasible in HG, AD, and MCI. CT may be associated with alterations in vascular physiology which require further investigation in an appropriately powered randomized controlled trial.

This study describes the barriers and supportive factors for learning about and using Information and Communication Technologies (ICT) present during a learning intervention designed to enable older adults to use ICT for fostering healthy aging in terms of promoting functional ability. Forty-one adults, older than 60 years, participated in a blended learning environment to learn how to use ICT for supporting cognitive performance and social interaction. The classrooms sessions were video recorded, and the data were analyzed using an inductive process of content analysis. The main observed barriers for learning about and using ICT were lack of experience with ICT, negative emotions such as fear, and shame related to the learning process and restrictions for individual support. On the other hand, the main supportive factors for ICT learning were a collaborative learning environment, the motivation for becoming efficient and independent ICT users, and using learning strategies focused on supporting cognitive abilities and overcoming lack of experience with ICT. The most observed factors for overcoming the identified barriers included peer support, the motivation for using ICT independently, and the opportunities for practising the learned skills. Based on the results, the paper discusses some opportunities for improving the design and implementation of this type of learning interventions.

Numerous studies demonstrate that working memory training benefits cognitive performance; however, such findings are controversial and the field is polarized. Despite a multitude of behavioural studies, investigation into the neurobiological mechanisms underlying working memory training remains limited. Diffusion tensor imaging (DTI) allows for the visualization of white matter structure and is a promising approach to identify neurobiological change associated with working memory training. In this study, 25 healthy community dwelling adults (age 18–40 years) underwent neuroimaging before and after completing a 6-week home- and web-based complex working memory training program. An active control group (n = 24) completed 6-weeks of processing speed training using the same computerized platform and imaging protocol. Voxel-wise statistical analysis of the DTI data was conducted with FSL's Tract-Based Spatial Statistics (TBSS) to assess change in several metrics over the course of the intervention. Additionally, averaged whole-brain values (i.e., throughout all cerebral white matter) for each DTI metric were examined via one-way analysis of covariance (ANCOVA). The participants' scores on the training tasks significantly improved post-training. The training was not associated with improved scores on non-trained cognitive measures. The working memory training also did not alter regional or global white matter microstructure, as measured by fractional anisotrophy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). Consistent with our previous published findings on brain activity and grey matter structure in the same study sample, the present study does not suggest that home- and web-based complex working memory training alters white matter microstructure.

Introduction & purpose: Cognitive ability decline is among the age-related changes in the elderly. Recent research has shown that computer games has a positive effect on cognitive abilities. Accordingly, the present study aimed at determining the effect of computer games on improving working memory, visual memory, and executive functions amongst the elderly in the city of Tehran.
Methodology: The present study had a quasi-experimental pretest-posttest design with the control group that was carried out on 40 elderly people selected using targeted sampling method in Tehran. The participants were randomly assigned to either the experimental or the control group after reviewing the inclusion criteria and clinical interview by the researchers. The experimental group was asked to play a one-hour computer game of Lumosity during 15 sessions and the control group was not allowed to play any computer games during this time. The data were collected in two stages of pre-test and post-test. Finally, the collected data were analyzed using SPSS software, version 25.
Findings: Computer games had a significant effect on the improvement of working memory, visual memory, and executive functions amongst the elderly in the experimental group compared to the control group (P<0.05). Discussion and Conclusion: Computer games can be helpful to improve memory and cognitive functions amongst the elderly. Accordingly, it is recommended to use these games in nursing homes for elderly people and the related centers should use these games to rehabilitate the elderly.

Among the non-pharmacological methods under development for maintaining cognitive function across the lifespan is computerized cognitive training (CCT). There has been considerable interest in using CCT to slow or remediate age-related cognitive decline, both normal and pathological. Toward these ends, it would be useful to know how the effects of CCT on cognitive function vary over the course of normal cognitive aging. Are there changes in either 1) the overall efficacy of CCT or 2) which cognitive faculties are affected? To address these two questions, we reanalyzed results from a large online study by Hardy et al. (1) of 4,715 adults between 18 and 80 that examined effects of CCT on both a neuropsychological test battery and self-reported ratings of cognition and affect in daily living. Combined across all participants, Hardy et al. found greater improvement on both types of assessment following 10 weeks of CCT with the commercial program Lumosity, as compared to practice with a control activity involving computerized crossword puzzles. The present study compared the size of these effects on the older (50–80) and younger (18–49) participants. To address the question of overall efficacy, we examined CCT effects (treatment minus control) on overall performance of the test battery and mean rating. No significant difference on either measure was found between the two age cohorts. To address the question of whether the same magnitude of overall effects on both age cohorts was due to equivalent effects on the same set of underlying cognitive functions, we examined the patterns of CCT effects across individual subtests and rated items. These patterns did not differ significantly between the two age cohorts. Our findings suggest that benefits from CCT can occur to a similar degree and in a similar way across an extended part of the adult lifespan. Moreover, the overall effects of CCT delivered over the internet were of the same small to medium size as those typically found in the lab or clinic. Besides improving access and reducing the cost of CCT for older adults, delivery over the internet makes long-term training more practicable, which could potentially yield larger benefits.

The rising prevalence rates of age-related cognitive impairment are a worldwide public concern, bringing about a surge in the number of "brain training" programs commercially available to the general public. Numerous companies advertise that their products improve memory and protect against cognitive decline, though researchers have voiced concerns regarding the validity of such claims. To address this issue, the current meta-analytic investigation examined evidence from 43 studies (encompassing 2,636 participants) to evaluate the efficacy of commercial training programs within two separate populations: healthy older adults and older adults with mild cognitive-impairment (MCI). Seven programs were identified: BrainGymmer, BrainHQ, CogMed, CogniFit, Dakim, Lumosity, and MyBrainTrainer. Analyses yielded small, significant near-transfer effects for both healthy and MCI samples. Far-transfer was not observed for the MCI sample, whereas a small, significant effect was found for subjective but not objective measures of far-transfer in the healthy sample. Analyses of individual domains (combining near-and far-transfer outcomes) yielded significant transfer to executive-functioning, memory, and processing-speed in healthy older adults. After adjusting for publication bias, only the effect size for processing speed remained significant. Transfer to attention, objective everyday functioning, fluid-intelligence, and visuospatial domains was not significant. Thus, whilst "brain training" may be suitable for enjoyment and entertainment purposes, there is currently insufficient empirical evidence to support that such training can improve memory, general cognition, or everyday functioning. This area of research is still in its infancy and warrants further investigation to provide more substantial evidence regarding the efficacy of this rapidly expanding industry.

This study aimed to establish the association and differences in a diversity of cognitive domains according to cardiorespiratory fitness (CRF), muscular fitness (MF), and speed-agility fitness (S-AF) level in a large sample of Chilean schoolchildren. 1171 Chilean schoolchildren aged 10–14 years participated. CRF, MF, and S-AF were assessed through the ALPHA-fitness test battery. Cognition was evaluated through the NeuroCognitive Performance Test, which involved eight tests related to four main domains: cognitive flexibility (CF), working memory (WM), inhibitory control (IC), and intelligence (IN). Both global (multivariate) and individual (univariate) analyses were performed to determine the differences in cognitive functioning according to low-, middle-, and high-fitness level. The global analyses showed a significant main effect for CRF, F(16,940) = 3.08, p ≤ .001 and MF groups, F(16,953) = 2.30, p = .002, but not for S-AF, F(16,948) = 1.37, p = .105. CRF shows a significant main effect in seven of eight tests, involving CF, WM, IC, and IN domains, whereas MF shows a significant main effect in five of eight tests without association with IN. SA-F shows a significant main effect only with IC. Statistical differences were found between the low- and middle/high-fitness groups but not between the middle- and high-fitness groups. At a global level, both CRF and MF seem to be associated with a higher cognitive profile in scholars; however, at an individual level, all fitness components show a favorable relationship to some cognitive domine. Then, future cognitive developing strategies should consider all fitness components, prioritizing those low-fitness schoolchildren.

Objective: To test the hypothesis that repetitive head impacts (RHIs), like those from contact sport play and traumatic brain injury (TBI) have long-term neuropsychiatric and cognitive consequences, we compared middle-age and older adult participants who reported a history of RHI and/or TBI with those without this history on measures of depression and cognition.

Methods: This cross-sectional study included 13,323 individuals (mean age, 61.95; 72.5% female) from the Brain Health Registry who completed online assessments, including the Ohio State University TBI Identification Method, the Geriatric Depression Scale (GDS-15), and the CogState Brief Battery and Lumos Labs NeuroCognitive Performance Tests. Inverse propensity-weighted linear regressions accounting for age, sex, race/ethnicity, and education tested the effects of RHI and TBI compared to a non-RHI/TBI group.

Results: A total of 725 participants reported RHI exposure (mostly contact sport play and abuse) and 7,277 reported TBI (n = 2,604 with loss of consciousness [LOC]). RHI (β, 1.24; 95% CI, 0.36–2.12), TBI without LOC (β, 0.43; 95% CI, 0.31–0.54), and TBI with LOC (β, 0.75; 95% CI, 0.59–0.91) corresponded to higher GDS-15 scores. While TBI with LOC had the most neuropsychological associations, TBI without LOC had a negative effect on CogState Identification (β, 0.004; 95% CI, 0.001–0.01) and CogState One Back Test (β, 0.004; 95% CI, 0.0002–0.01). RHI predicted worse CogState One Back Test scores (β, 0.02; 95% CI, −0.01 to 0.05). There were RHI × TBI interaction effects on several neuropsychological subtests, and participants who had a history of both RHI and TBI with LOC had the greatest depression symptoms and worse cognition.

Conclusions: RHI and TBI independently contributed to worse mid- to later-life neuropsychiatric and cognitive functioning.

Cognitive rehabilitation may compensate for cognitive deficits of children with acquired brain injury (ABI), capitalizing on the use-dependent plasticity of a developing brain. Remote computerized cognitive training (CCT) may be delivered to patients in ecological settings, ensuring rehabilitation continuity. This work evaluated cognitive and psychological adjustment outcomes of an 8-week multi-domain, home-based CCT (Lumosity Cognitive Training) in a sample of patients with ABI aged 11–16 years. Two groups of patients were engaged in five CCT sessions per week for eight weeks (40 sessions). According to a stepped-wedge research design, one group (Training-first Group) started the CCT immediately, whereas the other group (Waiting-first Group) started the CCT after a comparable time of waiting list. Changes after the training and after the waiting period were compared in the two groups. Both groups improved in visual-spatial working memory more after the training than after the waiting-list period. The Training-first group improved also in arithmetic calculation speed. Findings indicate that a multi-domain CCT can produce benefits in visual-spatial working memory, probably because, in accordance with previous research, computer games heavily tax visuo-spatial abilities. This suggests that the prolonged stimulation of the same cognitive ability may generate the greatest benefits in children with ABI.

Importance: Postoperative delirium in older adults is a common and costly complication after surgery. Cognitive reserve affects the risk of postoperative delirium, and thus preoperative augmentation of reserve as a preventive technique is of vital interest.

Objective: To determine whether cognitive prehabilitation reduces the incidence of postoperative delirium among older adults.

Design, Setting, and Participants: This was a prospective, single-blinded randomized clinical trial conducted from March 2015 to August 2019 at the Ohio State University Wexner Medical Center in Columbus. Patients 60 years and older undergoing major, noncardiac, nonneurological surgery under general anesthesia, with an expected hospital stay of at least 72 hours, were eligible for trial inclusion. Patients were excluded for preoperative cognitive dysfunction and active depression.

Interventions: Participation in electronic, tablet-based preoperative cognitive exercise targeting memory, speed, attention, flexibility, and problem-solving functions.

Main Outcomes and Measures: The primary outcome was incidence of delirium between postoperative day 0 to day 7 or discharge, as measured by a brief Confusion Assessment Method, Memorial Delirium Assessment Scale, or a structured medical record review. Secondary outcomes compared delirium characteristics between patients in the intervention and control groups.

Results: Of the 699 patients approached for trial participation, 322 completed consent and 268 were randomized. Subsequently, 17 patients were excluded, leaving 251 patients in the primary outcome analysis. A total of 125 patients in the intervention group and 126 control patients were included in the final analysis (median [interquartile range] age, 67 [63-71] years; 163 women [64.9%]). Ninety-seven percent of the patients in the intervention group completed some brain exercise (median, 4.6 [interquartile range, 1.31-7.4] hours). The delirium rate among control participants was 23.0% (29 of 126). With intention-to-treat analysis, the delirium rate in the intervention group was 14.4% (18 of 125; P = .08). Post hoc analysis removed 4 patients who did not attempt any cognitive exercise from the intervention group, yielding a delirium rate of 13.2% (16 of 121; P = .04). Secondary analyses among patients with delirium showed no differences in postoperative delirium onset day or duration or total delirium-positive days across study groups.

Conclusions and Relevance: The intervention lowered delirium risk in patients who were at least minimally compliant. The ideal activities, timing, and effective dosage for cognitive exercise–based interventions to decrease postoperative delirium risk and burden need further study.

Trial Registration: ClinicalTrials.gov Identifier: NCT02230605

Background: The aim of this study was to evaluate the effectiveness of online cognitive training as a means of reducing psychopathology in at-risk youth.

Methods: In a double-blind randomised controlled trial, 228 youths (mean age = 18.6, 74.6% female) were randomly allocated to either an intervention group (n = 114; online cognitive training focused on executive functioning) and a control group (n = 114; online cognitive training focused on other cognitive abilities). Participants were assessed online at baseline, post-training, 3-, 6- and 12-month follow-up. The primary outcome of the study was overall psychopathology as measured by the Strengths and Difficulties Questionnaire. Secondary outcomes were executive functioning ability (assessed using the n-back, trail-making and Stroop tasks), day-to-day functioning and risky drinking.

Results: Mixed model intention-to-treat analyses indicated that psychopathology increased and day-to-day functioning decreased, regardless of intervention group. Those in the intervention group improved more than those in the control group in terms of the n-back task, but this was not statistically significant after adjusting for multiple comparisons. There were no statistically significant effects on risky drinking, or the trail-making and Stroop tasks.

Conclusion: This study failed to provide evidence for the efficacy of cognitive training as a stand-alone intervention for psychopathology.

Many popular activities are thought by the general public to improve cognitive function. Such expectations can influence how often people engage in these activities, as well as the scientific evaluation of their putative cognitive benefits, e.g., via placebo effects. Here, we gathered survey data about the public’s perceptions of nine different activities commonly thought to be cognitively stimulating, including “brain-training” games. Information was collected about the degree to which participants thought each activity was beneficial for improving cognitive function and how often they engaged in each activity. The patterns of correlation between ratings reveal details about the perception of cognitive benefits and its relation to engagement. They suggest that participants varied with respect to an overarching perception of the entire set of activities, which were perceived also as divided into three clusters. Frequency of engagement and perceived cognitive benefits were positively correlated across participants for each activity considered individually. But, when the activities were compared, the magnitude of their perceived benefits was not a good predictor of their frequency of engagement (and vice versa). Though small, there were systematic demographic differences. Women were more optimistic than men about cognitive benefits. Individual participants differed in the range of their ratings of benefit across activities, and these ranges were greater for younger than older participants, suggesting that perceptions of benefit are more differentiated among the young. Besides contributing to a better understanding of public expectations of cognitive benefits, the findings of this study are relevant to the critical evaluation of such benefits. Our survey can be viewed as providing an interface between expectations held by the general public and the design of studies examining the efficacy of cognitive training. The type of information it provides could be used in the selection of activities performed by an active control group, so that control activities match the treatment intervention as closely as possible with respect to such expectations.

Background: Postoperative delirium and postoperative cognitive dysfunction (POCD) are common after cardiac surgery and contribute to an increased risk of postoperative complications, longer length of stay, and increased hospital mortality. Cognitive training (CT) may be able to durably improve cognitive reserve in areas deficient in delirium and POCD and, therefore, may potentially reduce the risk of these conditions. We sought to determine the feasibility and potential efficacy of a perioperative CT program to reduce the incidence of postoperative delirium and POCD in older cardiac surgery patients.

Methods: Randomized controlled trial at a single tertiary care center. Participants included 45 older adults age 60–90 undergoing cardiac surgery at least 10 days from enrollment. Participants were randomly assigned in a 1:1 fashion to either perioperative CT via a mobile device or a usual care control. The primary outcome of feasibility was evaluated by enrollment patterns and adherence to protocol. Secondary outcomes of postoperative delirium and POCD were assessed using the Confusion Assessment Method and the Montreal Cognitive Assessment, respectively. Patient satisfaction was assessed via a postoperative survey.

Results: Sixty-five percent of eligible patients were enrolled. Median (interquartile range [IQR]) adherence (as a percentage of prescribed minutes played) was 39% (20%–68%), 6% (0%–37%), and 19% (0%–56%) for the preoperative, immediate postoperative, and postdischarge periods, respectively. Median (IQR) training times were 245 (136–536), 18 (0–40), and 122 (0–281) minutes for each period, respectively. The incidence of postoperative delirium (CT group 5/20 [25%] versus control 3/20 [15%]; P = .69) and POCD (CT group 53% versus control 37%; P = .33) was not significantly different between groups for either outcome in this limited sample. CT participants reported a high level of agreement (on a scale of 0–100) with statements that the program was easy to use (median [IQR], 87 [75–97]) and enjoyable (85 [79–91]). CT participants agreed significantly more than controls that their memory (median [IQR], 75 [54–82] vs 51 [49–54]; P = .01) and thinking ability (median [IQR], 78 [64–83] vs 50 [41–68]; P = .01) improved as a result of their participation in the study.

Conclusions: A CT program designed for use in the preoperative period is an attractive target for future investigations of cognitive prehabilitation in older cardiac surgery patients. Changes in the functionality of the program and enrichment techniques may improve adherence in future trials. Further investigation is necessary to determine the potential efficacy of cognitive prehabilitation to reduce the risk of postoperative delirium and POCD.

Introduction: To demonstrate the broad utility of the remotely supervised transcranial direct current stimulation (RS-tDCS) protocol developed to deliver at-home rehabilitation for individuals with multiple sclerosis (MS).

Methods: Stimulation delivered with the RS-tDCS protocol and paired with adaptive cognitive training was delivered to three different study groups of MS patients to determine the feasibility and tolerability of the protocol. The three studies each used consecutively increasing amounts of stimulation amperage (1.5, 2.0, and 2.5 mA, respectively) and session numbers (10, 20, and 40 sessions, respectively).

Results: High feasibility and tolerability of the stimulation were observed for n = 99 participants across three tDCS pilot studies.

Conclusions: RS-tDCS is feasible and tolerable for MS participants. The RS-tDCS protocol can be used to reach those in locations without clinic access and be paired with training or rehabilitation in locations away from the clinic. This protocol could be used to deliver tDCS paired with training or rehabilitation activities remotely to service members and veterans.

The flexibility to learn diverse tasks is a hallmark of human cognition. To improve our understanding of individual differences and dynamics of learning across tasks, we analyse the latent structure of learning trajectories from 36,297 individuals as they learned 51 different tasks on the Lumosity online cognitive training platform. Through a data-driven modelling approach using probabilistic dimensionality reduction, we investigate covariation across learning trajectories with few assumptions about learning curve form or relationships between tasks. Modelling results show substantial covariation across tasks, such that an entirely unobserved learning trajectory can be predicted by observing trajectories on other tasks. The latent learning factors from the model include a general ability factor that is expressed mostly at later stages of practice and additional task-specific factors that carry information capable of accounting for manually defined task features and task domains such as attention, spatial processing, language and math.

Cognitive fusion has been identified as a risk factor for anxiety. Evidence suggests that those with better attentional control may be able to flexibly shift attention from an internal to external focus, thus reducing contact with negative self-referent thoughts. As such, attentional control was examined as a moderator of the relation between cognitive fusion and anxiety in this two-part study. Adult participants (N = 597) completed self-report measures in Study 1. In Study 2, adult student participants (N = 173) completed self-report measures of cognitive fusion and anxiety, as well as behavioral measures that assessed three specific attentional control processes (i.e., inhibition, shifting, working memory updating). As predicted, attentional control moderated the relation between cognitive fusion and anxiety such that the strength of the relation decreased as attentional control increased. The results of Study 2 suggest that inhibitory ability is the attentional control process that accounts for this effect. Taken together, results suggest the possibility that attentional control (especially inhibitory ability) may be a protective factor against the development of anxiety among those with higher levels of cognitive fusion. The use of experimental and longitudinal study designs will be an important next step in this line of research to further clarify the nature of relations among cognitive fusion, attentional control, and anxiety. Results from an exploratory analysis, in which depressive symptoms served as the outcome variable, will also be discussed.

Neurocognitive impairment (NCI) remains a persistent complication of HIV disease that nearly half of persons with HIV experience, and rates are even higher in persons who use substances such as cocaine. Cognitive training is a promising intervention for HIV-associated NCI. In this randomized controlled trial, we examined the feasibility and effectiveness of a web-based cognitive training program to improve working memory in a sample of 58 persons with HIV and cocaine use disorder. Participants were randomly assigned to either the experimental working memory training arm or the attention control training arm and completed up to 48 daily sessions over 10 weeks. Overall, treatment completion (74%) and retention rates (97%) were high, and participant feedback indicated the intervention was acceptable. Our results show that the intervention successfully reduced working memory deficits in the experimental arm relative to the control arm. Our findings support both the feasibility and effectiveness of cognitive training in this population.

BACKGROUND: The Alzheimer Prevention Trials (APT) Webstudy is the first stage in establishing a Trial-ready Cohort for Preclinical and Prodromal Alzheimer’s disease (TRC-PAD). This paper describes recruitment approaches for the APT Webstudy.
OBJECTIVES: To remotely enroll a cohort of individuals into a web-based longitudinal observational study. Participants are followed quarterly with brief cognitive and functional assessments, and referred to Sites for in-clinic testing and biomarker confirmation prior to enrolling in the Trial-ready Cohort (TRC).
DESIGN: Participants are referred to the APT Webstudy from existing registries of individuals interested in brain health and Alzheimer’s disease research, as well as through central and site recruitment efforts. The study team utilizes Urchin Tracking Modules (UTM) codes to better understand the impact of electronic recruitment methods.
SETTING: A remotely enrolled online study.
PARTICIPANTS: Volunteers who are at least 50 years old and interested in Alzheimer’s research.
MEASUREMENTS: Demographics and recruitment source of participant where measured by UTM. RESULTS: 30,650 participants consented to the APT Webstudy as of April 2020, with 69.7% resulting from referrals from online registries. Emails sent by the registry to participants were the most effective means of recruitment. Participants are distributed across the US, and the demographics of the APT Webstudy reflect the referral registries, with 73.1% female, 85.0% highly educated, and 92.5% Caucasian.
CONCLUSIONS: We have demonstrated the feasibility of enrolling a remote web-based study utilizing existing registries as a primary referral source. The next priority of the study team is to engage in recruitment initiatives that will improve the diversity of the cohort, towards the goal of clinical trials that better represent the US population.

Objectives: Prior work has demonstrated that executive function training or physical exercise can improve older adults’ cognition. The current study takes an exploratory approach to compare the feasibility and efficacy of online executive function training and low-intensity aerobic exercise for improving cognitive and psychosocial functioning in healthy older adults.

Method: Following a standard pretest-training-posttest protocol, 40 older adults (aged 65 and above) were randomly assigned to an executive function or a physical training group. A battery of cognitive and psychosocial outcome measures were administered before and after training. During the 10 weeks of self-guided training at home (25–30 min/day, 4 days/week), the executive function training group practiced a set of adaptive online executive function tasks designed by Lumos Labs, whereas the physical training group completed an adaptive Digital Video Disc (DVD)-based low-intensity aerobic exercise program.

Results: Training transfer effects were limited. Relative to low-intensity aerobic exercise, executive function training yielded cognitive improvement on the 64-card Wisconsin Card Sorting Task (WCST-64), a general executive function measure. Depression and stress levels dropped following both training programs, but this could be driven by decreased stress or excitement in performing the tasks over time.

Discussion: The results revealed limited cognitive benefits of the online executive function training program, specifically to a near transfer test of general executive control. Importantly, the current study supports the feasibility of home-based self-guided executive function and low-intensity physical training with healthy older adults.

The general population and students alike often rely on technology, rather than ability to remember. Yet, there are many situations when college students could benefit from basic memory improvement strategies. Students in two separate sections of a Human Memory course completed 3 memory assessments: One at the beginning of the course, a second at the midterm, and a third during the final week of the course. Each assessment contained well-known memory tasks. Throughout the course, both sections engaged in strategies to improve their memory. Additionally, one section participated in the online cognitive training program Lumosity for 12 weeks. The 2 sections’ scores on memory assessments were compared at each of the 3 assessment times during the course. Students’ performance improved during assessments for the following tasks in both course sections: word formation, F (2, 132) = 5.97, p = .003, MSe = 31.40, ηp² = .08, word recall, F (2, 134) = 19.20, p < .001, MSe = 78.71, ηp² = .22., and operation-span math 2, F (2, 134) = 17.86, p = .000, MSe = 32.98, ηp² = .21. Following each assessment, students self-reported on memory change. Students perceived the course work as having the biggest impact on their memory improvement. They also reported enjoying Lumosity and that they would recommend it to a friend or family member. Implications of how these findings can inform a more general debate on memory improvement strategies and perceptions will be discussed.

Research elucidating the effects of sleep and circadian rhythm on cognitive performance is advancing, yet many important questions remain. Using flanker‐task performance scores from a large internet sample (N = 48,881) with repeated measures of cognitive performance and linked prior‐night self‐reported sleep duration, we analysed the relationship between sleep duration, time of day of task performance, and chronotype synchrony with performance in participants aged 15–80 years. Results indicate a performance peak at 7 hr habitual sleep duration, and point to a variable effect of deviation from habitual sleep duration depending on users’ habitual sleep duration and age. Time‐of‐day effects were notable for a steady decline in performance up until 01:00 hours–02:00 hours for the group as a whole, which was accounted for by nighttime deterioration on trials requiring inhibitory executive functioning, particularly in older subjects. Analyses did not demonstrate an advantage for playing in synchrony with self‐identified chronotype. Results strengthen findings indicating an inverted U‐shaped relationship between sleep duration and cognitive performance across a broad spectrum of age groups. These findings underscore the importance of daytime task performance for tasks requiring inhibitory function, especially in elderly people. Findings highlight the utility of large‐scale internet data in contributing to sleep and circadian science.

Objective: In this intervention study, we investigated the benefits of nonaction videogames on measures of selective attention and visuospatial working memory (WM) in young adults.

Materials and Methods: Forty-eight young adults were randomly assigned to the experimental group or to the active control group. The experimental group played 10 nonaction adaptive videogames selected from Lumosity, whereas the active control group played two nonadaptive simulation-strategy games (SimCity and The Sims). Participants in both groups completed 15 training sessions of 30 minutes each. The training was conducted in small groups. All the participants were tested individually before and after training to assess possible transfer effects to selective attention, using a Cross-modal Oddball task, inhibition with the Stroop task, and visuospatial WM enhancements with the Corsi blocks task.

Results: Participants improved videogame performance across the training sessions. The results of the transfer tasks show that the two groups benefited similarly from game training. They were less distracted and improved visuospatial WM.

Conclusion: Overall, there was no significant interaction between group (group trained with adaptive nonaction videogames and the active control group that played simulation games) and session (pre- and post-assessment). As we did not have a passive nonintervention control group, we cannot conclude that adaptive nonaction videogames had a positive effect, because some external factors might account for the pre- and post-test improvements observed in both groups.

Large-scale data sets from online training and game platforms offer the opportunity for more extensive and more precise investigations of human learning than is typically achievable in the laboratory. However, because people make their own choices about participation, any investigation into learning using these data sets must simultaneously model performance–that is, the learning function–and participation. Using a data set of 54 million gameplays from the online brain training site Lumosity, we show that learning functions of participants are systematically biased by participation policies that vary with age. Older adults who are poorer performers are more likely to drop out than older adults who perform well. Younger adults show no such effect. Using this knowledge, we can extrapolate group learning functions that correct for these age-related differences in dropout. Learning in the real world involves many choices. We decide when to study, how to study, and when to stop studying and turn to something else. In the history of research on learning, particularly within psychology, the vast majority of scientific approaches attempt to control for these and other sources of variation in self-control, with the hope that what will emerge is an “uncontaminated” view of learning and memory (Koriat & Goldsmith, 1994; Benjamin, 2007; Nelson & Narens, 1994) Whatever the merits of this approach, it is unsatisfactory for large ecologically situated data sets in which learners come and go at their leisure. Understanding learning and memory in tasks in which learners exert considerable control over aspects of their learning requires an explicit consideration of metacognitive factors that determine participation and influence performance. Here we present learning data from the online “brain-training” platform Lumosity. Lumosity provides a number of different games for users that are intended to tap memory, attention, flexibility, speeded processing, and problem solving. Many of these games are based on well-worn tasks from cognitive psychology. Millions of people play these games, providing a very rich platform on which to study learning (Donner & Hardy, 2015). However, unlike lab studies, where individuals follow a strict regime and can be coerced to provide a sufficient number of data points to fit functions to that individual’s performance, participants in online platforms decide when to play, how often to play, and when to quit. A joint consideration of participation and performance allows us to use these large-scale data sets to evaluate theories of learning and of metacognition. Generally, the use of online platforms for investigating skill learning has grown in the past few years (Donner & Hardy, 2015; Huang et al., 2017; Stafford & Dewar, 2014), and is part of a welcome new trend of using naturally occurring large-scale data sets to develop and test theories of cognition (Goldstone & Lupyan, 2016; Griffiths, 2015). The lesson we draw here is that any model of skill learning from an uncontrolled source like an online learning platform must jointly deal with questions of performance and of participation. When individuals drop out of the task randomly, like they often do in the lab (say, due to computer problems), then dropout behavior increases variability and the potential for heteroskedasticity at more distant points in the learning function. However, when individuals drop out for reasons that are related to their current or future performance, learning functions are directly biased. Averaging across individuals has long been known to influence the shape of learning functions (Estes, 1956), but the effects of voluntary participation on group learning functions has not, to our knowledge, previously been considered. This is not a statistical problem: only a model of the process by which individuals choose to stay or go can debias such effects. In this paper, we present a theoretical and empirical investigation of the effects of voluntary participation and withdrawal on aggregated learning functions. We start with an empirical analysis of learning functions for individuals and for groups that differ in age. We show that individuals who drop out earlier lie on a different learning trajectory than those who continue, indicating that group learning functions will be biased by differential participation. Specifically, older adults who withdraw early exhibit a slower rate of improvement than older adults who continue with the task. Younger adults do not reveal this systematic pattern of withdrawal. In addition, we apply models of learning to individual performance functions and estimate the trajectory of those functions for a subset of users of different ages. Using these individual fits, we show that the slopes of the learning functions are typically shallower for individuals who drop out early. We then use the fits to extrapolate performance for those who withdrew to trials that they never actually completed. In doing so, we show that age-related group learning functions corrected for differential withdrawal are markedly different than the uncorrected functions. As a starting point for considering the effect of systematic dropout on learning curves, Fig. 1 shows simulated data under a number of scenarios. The left panel shows simulated learning curves that vary in learning rate and asymptote. The red curve shows the aggregate learning function. The middle panel uses the same learning curves and simulates the effect of dropout when individuals drop out for reasons unrelated to performance. In this case, the aggregate learning curve is unbiased by the dropout. In the right panel, the probability of dropping out is negatively related to (latent) asymptotic performance. Here it can be seen that the aggregate learning function is considerably biased from the original. One of the advantages of using large-scale naturalistic data sets for cognitive research is the diversity of users such platforms attract. Here we use the large age range of participants to examine the learning curves and dropout rates of users across the lifespan. Older users might have different motivations for using Lumosity than younger users, and those motivations might influence participation policies. Older adults may be motivated to combat cognitive decline and thus be more inclined to stick with tasks that they find difficult. Alternatively, they may be more sensitive to the stereotype threat posed by poor performance and thus be quick to quit tasks that they perform poorly on. Age effects on memory and attention tasks are well documented (Park & Schwarz, 2000) but can only be fairly interpreted in naturalistic data sets by seriously considering participation policies.

An important feature of human cognition is the ability to flexibly and efficiently adapt behavior in response to continuously changing contextual demands. We leverage a large-scale dataset from Lumosity, an online cognitive-training platform, to investigate how cognitive processes involved in cued switching between tasks are affected by level of task practice across the adult lifespan. We develop a computational account of task switching that specifies the temporal dynamics of activating task-relevant representations and inhibiting task-irrelevant representations and how they vary with extended task practice across a number of age groups. Practice modulates the level of activation of the task-relevant representation and improves the rate at which this information becomes available, but has little effect on the task-irrelevant representation. While long-term practice improves performance across all age groups, it has a greater effect on older adults. Indeed, extensive task practice can make older individuals functionally similar to less-practiced younger individuals, especially for cognitive measures that focus on the rate at which task-relevant information becomes available.

Background: Deletions encompassing a four-gene region on chromosome 15 (BP1-BP2 at 15q11.2), seen at a population frequency of 1 in 500, are associated with increased risk for schizophrenia, epilepsy, and other common neurodevelopmental disorders. However, little is known in terms of how these common deletions impact cognition.
Methods: We used a Web-based tool to characterize cognitive function in a novel cohort of adult carriers and their noncarrier family members. Results from 31 carrier and 38 noncarrier parents from 40 families were compared with control data from 6530 individuals who self-registered on the Lumosity platform and opted in to participate in research. We then examined aspects of sensory and cognitive function in flies harboring a mutation in Cyfip, the homologue of one of the genes within the deletion. For the fly studies, 10 or more groups of 50 individuals per genotype were included.
Results: Our human studies revealed profound deficits in grammatical reasoning, arithmetic reasoning, and working memory in BP1-BP2 deletion carriers. No such deficits were observed in noncarrier spouses. Our fly studies revealed deficits in associative and nonassociative learning despite intact sensory perception.
Conclusions: Our results provide new insights into outcomes associated with BP1-BP2 deletions and call for a discussion on how to appropriately communicate these findings to unaffected carriers. Findings also highlight the utility of an online tool in characterizing cognitive function in a geographically distributed population.

Lumosity is a subscription-based suite of online brain-training games, intended to improve cognitive skills. Due to an influx of products designed to train cognition through games such as Lumosity, it is important to determine their effectiveness for the sake of consumers and for the potential implications of any training effects for theories of transfer of cognitive skills. Two training experiments were conducted using the Lumosity platform. Participants were divided into three groups: those who trained with five attention games in Lumosity (attention group), those who trained with five flexibility games in Lumosity (flexibility group), and an inactive control group. Participants were assessed on accuracy and response time for two cognitive tests of attention (useful field of view and change detection) and two cognitive tests of flexibility (Wisconsin card sort and Stroop) both before and after a training period. In experiment 1, the training period was 3 h spread over four sessions. In experiment 2, the training period was 15 to 20 h spread over an average of 73 sessions. The trained groups did not show significantly greater pretest-to-posttest gains than the control group on any measures in either experiment, except in experiment 2 where the flexibility group significantly outperformed the other two groups on Stroop response time and UFOV reaction time. A practical implication concerns the lack of strong evidence for the effectiveness of brain-training games to improve cognitive skills. A theoretical implication concerns the domain specificity of cognitive skill learning from brain training games.

Background: Neurocognitive symptoms attributable to primary hyperparathyroidism are important diagnostic criteria, yet the basic characterization and assessment of neurocognitive deficits in primary hyperparathyroidism are not defined fully.
Methods: In this prospective pilot study, patients with unequivocal biochemical diagnosis of primary hyperparathyroidism were evaluated for neurocognitive performance preoperatively and postparathyroidectomy (2 weeks, 6 months) using a battery of computerized modular tests designed by LUMOSITY. The individual test scores and aggregate scores representing a subject's total neurocognitive performance profile were calculated. Statistical comparisons between groups were performed using univariate analysis and repeated measures of analysis of variance.
Results: In the study, 34 participants were assessed preoperatively; 18 completed all 3 assessments, 2 completed pretest and 6-month assessments, and 30 completed preoperative and 2-week postparathyroidectomy assessments. Primary hyperparathyroidism patients demonstrated significant deficits in memory, attention, mental flexibility, and speed of processing when compared with controls. Total neurocognitive performance profile score was significantly lower at the preoperative (P = .0001) and 2-week postparathyroidectomy (P = .0004) time points when compared with controls; this difference was bridged by 6 months postparathyroidectomy.
Conclusion: Computerized neurocognitive performance profile assessment validated the neurocognitive benefits of parathyroidectomy. Additional study is needed to determine if this novel method provides long-term, objective, quantifiable, and accessible neurocognitive performance profile assessment in primary hyperparathyroidism patients and can serve as a valuable diagnostic and prognostic tool.

Introduction: Post-Traumatic Stress Disorder (PTSD) is a prevalent, severe and tenacious psychopathological consequence of traumatic events. Neurobehavioral mechanisms underlying PTSD pathogenesis have been identified, and may serve as risk-resilience factors during the early aftermath of trauma exposure. Longitudinally documenting the neurobehavioral dimensions of early responses to trauma may help characterize survivors at risk and inform mechanism-based interventions. We present two independent longitudinal studies that repeatedly probed clinical symptoms and neurocognitive domains in recent trauma survivors. We hypothesized that better neurocognitive functioning shortly after trauma will be associated with less severe PTSD symptoms a year later, and that an early neurocognitive intervention will improve cognitive functioning and reduce PTSD symptoms.
Methods: Participants in both studies were adult survivors of traumatic events admitted to two general hospitals’ emergency departments (EDs) in Israel. The studies used identical clinical and neurocognitive tools, which included assessment of PTSD symptoms and diagnosis, and a battery of neurocognitive tests. The first study evaluated 181 trauma-exposed individuals one-, six-, and 14 months following trauma exposure. The second study evaluated 97 trauma survivors 1 month after trauma exposure, randomly allocated to 30 days of web-based neurocognitive intervention (n = 50) or control tasks (n = 47), and re-evaluated all subjects three- and 6 months after trauma exposure.
Results: In the first study, individuals with better cognitive flexibility at 1 month post-trauma showed significantly less severe PTSD symptoms after 13 months (p = 0.002). In the second study, the neurocognitive training group showed more improvement in cognitive flexibility post-intervention (p = 0.019), and lower PTSD symptoms 6 months post-trauma (p = 0.017), compared with controls. Intervention- induced improvement in cognitive flexibility positively correlated with clinical improvement (p = 0.002).
Discussion: Cognitive flexibility, shortly after trauma exposure, emerged as a significant predictor of PTSD symptom severity. It was also ameliorated by a neurocognitive intervention and associated with a better treatment outcome. These findings support further research into the implementation of mechanism-driven neurocognitive preventive interventions for PTSD.

Objective: To explore the efficacy of remotely-supervised transcranial direct current stimulation (RS-tDCS) paired with cognitive training (CT) exercise in participants with multiple sclerosis (MS).
Methods: In a feasibility study of RS-tDCS in MS, participants completed ten sessions of tDCS paired with CT (1.5 mA × 20 min, dorsolateral prefrontal cortex montage). RS-tDCS participants were compared to a control group of adults with MS who underwent ten 20-min CT sessions through the same remotely supervised procedures. Cognitive outcomes were tested by composite scores measuring change in performance on standard tests (Brief International Cognitive Assessment in MS or BICAMS), basic attention (ANT-I Orienting and Attention Networks, Cogstate Detection), complex attention (ANT-I Executive Network, Cogstate Identification and One-Back), and intra-individual response variability (ANT-I and Cogstate identification; sensitive markers of disease status).
Results: After ten sessions, the tDCS group (n = 25) compared to the CT only group (n = 20) had significantly greater improvement in complex attention (p = 0.01) and response variability (p = 0.01) composites. The groups did not differ in measures of basic attention (p =0.95) or standard cognitive measures (p = 0.99).
Conclusions: These initial findings indicate benefit for RS-tDCS paired with CT in MS. Exploratory analyses indicate that the earliest tDCS cognitive benefit is seen in complex attention and response variability. Telerehabilitation using RS-tDCS combined with CT may lead to improved outcomes in MS.

Objectives: Pediatric brain damage is associated with various cognitive deficits. Cognitive rehabilitation may prevent and reduce cognitive impairment. In recent years, home-based computerized cognitive training (CCT) has been introduced in clinical practice to increase treatment opportunities for patients (telerehabilitation). However, limited research has been conducted thus far on investigating the effects of remote CCT for the juvenile population in contexts other than English-speaking countries. The aim of the present study was to investigate the feasibility of a home-based CCT in a group of Italian adolescents with brain damage. A commercially available CCT (Lumosity) developed in the English language was used due to the lack of telerehabilitation programs in the Italian language that allow stimulation of multiple cognitive domains and, at the same time, remote automatic collection of data. Thus, this investigation provides information on the possibility of introducing CCT programs available in foreign languages in countries with limited investment in the telerehabilitation field.
Methods: 32 adolescents aged 11–16 with a diagnosis of congenital or acquired (either traumatic or non-traumatic) brain damage participated in the study. They received 40 training sessions (5 days/week for 8 weeks). Before starting the training program, they received face-to-face demonstration of training exercises and written instructions in their mother tongue. The feasibility of both training and study design and procedures was assessed through 9 criteria taken from extant literature.
Results: All 9 feasibility criteria were met. 31 out of the 32 participants demonstrated adherence to the training program. 94.2% of training sessions were completed in the recommended timeframe. No significant technical issue was found.
Conclusions: Telerehabilitation seems to be a feasible practice for adolescents with brain damage. A training program developed in a foreign language can be used to counter the unavailability of programs in patients’ mother tongue.

Introduction: Cognitive decline is common and increases mortality risk in hemodialysis patients. Intradialytic interventions like cognitive training (CT) and exercise training (ET) may preserve cognitive function.
Methods: We conducted a pilot randomized controlled trial of 20 hemodialysis patients to study the impact of 3 months of intradialytic CT (tablet-based brain games) (n = 7), ET (foot peddlers) (n = 6), or standard of care (SC) (n = 7) on cognitive function. Global cognitive function was measured by the Modified Mini Mental Status Exam (3MS), psychomotor speed was measured by Trail Making Tests A and B (TMTA and TMTB), and executive function was assessed by subtracting (TMTB − TMTA). Lower 3MS scores and slower TMTA and TMTB times reflected worse cognitive function. P values for differences were generated using analysis of variance, and 95% confidence intervals (CIs) and P values were generated from linear regression.
Results: Patients with SC experienced a decrease in psychomotor speed and executive function by 3 months (TMTA: 15 seconds; P = 0.055; TMTB: 47.4 seconds; P = 0.006; TMTB − TMTA; 31.7 seconds; P = 0.052); this decline was not seen among those with CT or ET (all P > 0.05). Compared with SC, the difference in the mean change in 3MS score was −3.29 points (95% CI: −11.70 to 5.12; P = 0.42) for CT and 4.48 points (95% CI: −4.27 to 13.22; P = 0.30) for ET. Compared with SC, the difference in mean change for TMTA was −15.13 seconds (95% CI: −37.64 to 7.39; P = 0.17) for CT and −17.48 seconds (95% CI: −41.18 to 6.22; P = 0.14) for ET, for TMTB, the difference was −46.72 seconds (95% CI: −91.12 to −2.31; P = 0.04) for CT and −56.21 seconds (95% CI: −105.86 to −6.56; P = 0.03) for ET, and for TMTB – TMTA, the difference was −30.88 seconds (95% CI: −76.05 to 14.28; P = 0.16) for CT and −34.93 seconds (95% CI: −85.43 to 15.56; P = 0.16) for ET.
Conclusion: Preliminary findings of our pilot study suggested that cognitive decline in psychomotor speed and executive function is possibly prevented by intradialytic CT and ET. These preliminary pilot findings should be replicated.

There is a demand for ways to enhance cognitive flexibility, as it can be a limiting factor for performance in daily life. Video game training has been linked to advantages in cognitive functioning, raising the question if training with video games can promote cognitive flexibility. In the current study, we investigated if game-based computerized cognitive training (GCCT) could enhance cognitive flexibility in a healthy young adult sample (N = 72), as measured by task-switch performance. Three GCCT schedules were contrasted, which targeted: (1) cognitive flexibility and task switching, (2) attention and working memory, or (3) an active control involving basic math games, in twenty 45-min sessions across 4–6 weeks. Performance on an alternating-runs task-switch paradigm during pretest and posttest sessions indicated greater overall reaction time improvements after both flexibility and attention training as compared to control, although not related to local switch cost. Flexibility training enhanced performance in the presence of distractor-related interference. In contrast, attention training was beneficial when low task difficulty undermined sustained selective attention. Furthermore, flexibility training improved response selection as indicated by a larger N2 amplitude after training as compared to control, and more efficient conflict monitoring as indicated by reduced Nc/CRN and larger Pe amplitude after training. These results provide tentative support for the efficacy of GCCT and suggest that an ideal training might include both task switching and attention components, with maximal task diversity both within and between training games.

Background: The effects of multiple sclerosis (MS) on cognition have gained increasing recognition as one of the major disabling symptoms of the disease. Despite the prevalence of these symptoms and their impact on quality of life, limited attention has been given to strategies that might help manage the cognitive changes commonly experienced by persons with MS.

Objective: The primary purpose of this study was to determine the effectiveness of a novel computer-assisted cognitive rehabilitation intervention MAPSS-MS (Memory, Attention, Problem Solving Skills in MS) in a multi-site trial with persons with MS.

Methods: Persons with MS (N = 183) with cognitive concerns were randomly assigned to either the 8-week MAPSS-MS intervention or usual care plus freely available computer games. Participants completed self-report and performance measures of cognitive functioning, compensatory strategies and depression at baseline, immediately after the MAPSS-MS intervention, and three and six months post-intervention. Changes in study outcomes were analyzed using intention to treat methodology, ANOVA with repeated measures, and ANCOVA.

Results: Both groups improved significantly on all outcome measures. The intervention group outperformed the comparison group on all measures, and there were statistically significant differences on selected measures.

Conclusion: Findings suggest that MAPSS-MS is a feasible intervention that could be broadly implemented in community settings. It has been shown to be modestly successful in improving cognitive functioning.

Introduction: Recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies and clinical trials limit the development of new treatments. Widespread Internet use allows data capture from participants in an unsupervised setting. The Brain Health Registry, a website and online registry, collects data from participants and their study partners.

Methods: The Brain Health Registry obtains self and study partner report questionnaires and neuropsychological data, including the Cogstate Brief Battery, Lumos Labs Neurocognitive Performance Test, and MemTrax Memory Test. Participants provide informed consent before participation.

Results: Baseline and longitudinal data were obtained from nearly 57,000 and 28,000 participants, respectively. Over 18,800 participants were referred to, and nearly 1800 were enrolled in, clinical Alzheimer's disease and aging studies, including five observational studies and seven intervention trials.

Discussion: Online assessments of participants and study partners provide useful information at relatively low cost for neuroscience studies and clinical trials and may ultimately be used in routine clinical practice.

Memory impairment is common following stroke. Memory skills groups (MSGs) utilising compensatory strategies and computerised cognitive training (CCT) are two rehabilitation approaches available to improve memory function; however, there is no consensus as to which is more effective following stroke. This study aimed to explore and contrast the qualitative experiences of 20 stroke survivors (Mage = 61.90, SD = 10.48, range: 34–77 years) who received six weeks’ training in MSG (manualised memory skills group, n = 10) or individual-CCT (LumosityTM, n = 10). Using semi-structured interviews, data were collected and analysed thematically, adopting a critical realist approach. Six themes were identified: (1) Facilitators and barriers to intervention engagement, (2) Improving knowledge and understanding, (3) Connecting with others, (4) Perception of the intervention, (5) Impact on everyday memory and (6) Impact on emotions and sense of purpose. Encouragingly, most participants valued and enjoyed participating in the memory interventions, irrespective of rehabilitation approach. MSG participants reported learning and sharing with similar others as important to the experience and described everyday memory improvements. CCT participants described enjoyment of its game-like nature, yet reported frustration associated with game-specific characteristics, and did not report everyday memory improvements.

Computerised cognitive training (CCT) approaches to memory rehabilitation represent an attractive alternative to traditional approaches; however, there is limited empirical evidence to support their use. An AB with follow up single case design was repeated across five participants to explore the feasibility and effectiveness of CCT on subjective memory in patients with stroke. Target behaviour was subjective everyday and prospective memory failures which were assessed weekly. Following baseline (three weeks), participants completed six weeks of LumosityTM training in their homes. Data were analysed visually and statistically. The frequency of prospective memory failures decreased during intervention for one participant, while the frequency of prospective and everyday memory failures decreased significantly during the follow up period for another participant. Yet, significantly more everyday and prospective memory failures were reported following training by one study participant. No significant change in subjective memory ratings was found for remaining participants. Regarding secondary outcomes, meaningful changes on objective measures of memory were not observed, despite considerable inter-individual variability. Three participants reported improvement in individualised memory goals, while two participants described a decline. Overall, LumosityTM training appears feasible; however, no consistent evidence to support effectiveness of this CCT on subjective or objective memory was found.

Video game training with older adults potentially enhances aspects of cognition that decline with aging and could therefore offer a promising training approach. Although, previous published studies suggest that training can produce transfer, many of them have certain shortcomings. This randomized controlled trial (RCT; Clinicaltrials.gov ID: NCT02796508) tried to overcome some of these limitations by incorporating an active control group and the assessment of motivation and expectations. Seventy-five older volunteers were randomly assigned to the experimental group trained for 16 sessions with non-action video games from Lumosity, a commercial platform (http://www.lumosity.com/) or to an active control group trained for the same number of sessions with simulation strategy games. The final sample included 55 older adults (30 in the experimental group and 25 in the active control group). Participants were tested individually before and after training to assess working memory (WM) and selective attention and also reported their perceived improvement, motivation and engagement. The results showed improved performance across the training sessions. The main results were: (1) the experimental group did not show greater improvements in measures of selective attention and working memory than the active control group (the opposite occurred in the oddball task); (2) a marginal training effect was observed for the N-back task, but not for the Stroop task while both groups improved in the Corsi Blocks task. Based on these results, one can conclude that training with non-action games provide modest benefits for untrained tasks. The effect is not specific for that kind of training as a similar effect was observed for strategy video games. Groups did not differ in motivation, engagement or expectations.

It is estimated that people spend almost half their waking hours lost in stimulus-independent thought, or mind wandering, which in turn has been shown to negatively impact well-being. This has sparked a rise in the number of cognitive training platforms that aim to boost executive functioning, yet it is unclear whether mind wandering can be reduced through online training. The current study aimed to investigate whether behavioral markers of mind wandering can be reduced through two short-term online-based interventions: mindfulness meditation and brain training. Using a randomized controlled design, we assigned one group of participants to 30 days of mindfulness training (n = 54) and another to 30 days of brain training (n = 41). Mind wandering and dispositional mindfulness were assessed pre- and post-intervention via the Sustained Attention to Response Task (SART) and the Mindful Attention to Awareness Scale (MAAS), respectively. We found significant reductions in mind wandering and significant increases in dispositional mindfulness in the mindfulness training group but not the brain training group. A lack of any significant change in the brain training group may be driven by methodological limitations such as self-report bias. These results indicate that short online mindfulness-based interventions may be effective in reducing mind wandering.

Training of working memory as a method of increasing working memory capacity and fluid intelligence has received much attention in recent years. This burgeoning field remains highly controversial with empirically-backed disagreements at all levels of evidence, including individual studies, systematic reviews, and even meta-analyses. The current study investigated the effect of a randomized six week online working memory intervention on untrained cognitive abilities in a community-recruited sample of healthy young adults, in relation to both a processing speed training active control condition, as well as a no-contact control condition. Results of traditional null hypothesis significance testing, as well as Bayesian factor analyses, revealed support for the null hypothesis across all cognitive tests administered before and after training. Importantly, all three groups were similar at pre-training for a variety of individual variables purported to moderate transfer of training to fluid intelligence, including personality traits, motivation to train, and expectations of cognitive improvement from training. Because these results are consistent with experimental trials of equal or greater methodological rigor, we suggest that future research re-focus on: 1) other promising interventions known to increase memory performance in healthy young adults, and; 2) examining sub-populations or alternative populations in which working memory training may be efficacious.

Attending school is a multifaceted experience. Students are not only exposed to new knowledge but are also immersed in a structured environment in which they need to respond flexibly in accordance with changing task goals, keep relevant information in mind, and constantly tackle novel problems. To quantify the cumulative effect of this experience, we examined retrospectively and prospectively, the relationships between educational attainment and both cognitive performance and learning. We analyzed data from 196,388 subscribers to an online cognitive training program. These subscribers, ages 15–60, had completed eight behavioral assessments of executive functioning and reasoning at least once. Controlling for multiple demographic and engagement variables, we found that higher levels of education predicted better performance across the full age range, and modulated performance in some cognitive domains more than others (e.g., reasoning vs. processing speed). Differences were moderate for Bachelor’s degree vs. High School (d = 0.51), and large between Ph.D. vs. Some High School (d = 0.80). Further, the ages of peak cognitive performance for each educational category closely followed the typical range of ages at graduation. This result is consistent with a cumulative effect of recent educational experiences, as well as a decrement in performance as completion of schooling becomes more distant. To begin to characterize the directionality of the relationship between educational attainment and cognitive performance, we conducted a prospective longitudinal analysis. For a subset of 69,202 subscribers who had completed 100 days of cognitive training, we tested whether the degree of novel learning was associated with their level of education. Higher educational attainment predicted bigger gains, but the differences were small (d = 0.04–0.37). Altogether, these results point to the long-lasting trace of an effect of prior cognitive challenges but suggest that new learning opportunities can reduce performance gaps related to one’s educational history.

Background: Finding work is a top priority for most people; however, this goal remains out of reach for the majority of individuals with a severe mental illness (SMI) who remain on benefits or are unemployed. Supported employment (SE) programs aimed at returning people with a severe mental illness to work are successful; however, they still leave a significant number of people with severe mental illness unemployed. Cognitive deficits are commonly found in SMI and are a powerful predictor of poor outcome. Fortunately, these deficits are amenable to treatment with cognitive remediation therapy (CRT) that significantly improves cognition in SMI. CRT combined with SE significantly increases the likelihood of individuals with severe mental illness obtaining and staying in work. However, the availability of CRT is limited in many settings.

Objective: The aim of this study was to examine whether Web-based CRT combined with a SE program can improve the rate return to work of people with severe mental illness.

Methods: A total of 86 people with severe mental illness (mean age 39.6 years; male: n=55) who were unemployed and who had joined a SE program were randomized to either a Web-based CRT program (CogRem) or an Internet-based control condition (WebInfo). Primary outcome measured was hours worked over 6 months post treatment.

Results: At 6 months, those participants randomized to CogRem had worked significantly more hours (P=.01) and had earned significantly more money (P=.03) than those participants randomized to the WebInfo control condition. No change was observed in cognition.

Conclusions: This study corroborates other work that has found a synergistic effect of combining CRT with a SE program and extends this to the use of Web-based CRT. The lack of any improvement in cognition obscures the mechanism by which an improved wage outcome for participants randomized to the active treatment was achieved. However, the study substantially lowers the barrier to the deployment of CRT with other psychosocial interventions for severe mental illness.

Objectives: To determine the interaction of age and habitual sleep duration in predicting cognitive performance in a large sample of participants aged 15 to 89 years.
Methods: This study is a cross-sectional analysis of performance data gathered between January 2012 and September 2013. First-time players (N = 512823) of three internet cognitive training games measuring processing speed, working memory, visuospatial memory, and arithmetic participated in the study.
Results: Performance was based on a measure of speed and accuracy for each game. The relationship between performance and self-reported habitual sleep duration was examined in the sample as a whole and across 10-year age groups starting at age 15 and ending at 75 and older. Performance peaked at 7 h of sleep duration for all three games in the sample as a whole, and the decrements in performance for sleep durations greater than 7 h were either comparable or greater in the youngest as compared to the oldest age groups.
Conclusions: These findings challenge the hypothesis that deteriorating cognitive performance with long sleep duration is driven by medical comorbidities associated with aging. Further, these data are consistent with an optimal dose model of sleep and suggest that the model for the homeostatic recovery of cognitive function as a function of sleep duration should incorporate a curvilinear decline with longer duration sleep, indicating that there may be a cost to increased sleep. Replication and further research is essential for clarifying the sleep duration–cognition relationship in youth and adults of all ages.

Background: Many factors impact caregivers' cognitive health and, by extension, their ability to provide care. This study examined the relationship between psychosocial factors and cognitive performance among dementia caregivers and established a virtual cohort of caregivers for future research.
Methods: Data on 527 caregivers were collected via a Web-based survey that assessed cognitive performance. Caregiver data were compared to corresponding data from 527 age-, race-, gender-, and education-matched controls from a normative database. Caregiver self-reported sleep, stress, health, and social support were also assessed.
Results: Caregivers performed significantly worse than controls on 3 of 5 cognitive subtests. Stress, sleep, perceived support, self-rated health, years of caregiving, race, and gender were significant predictors of cognitive performance.
Conclusion: In this sample of dementia caregivers, psychosocial factors interacted in complex ways to impact cognitive performance. Further investigation is needed to better understand how these factors affect cognitive performance among caregivers. This could be accomplished by the establishment of a virtual cohort that facilitates the development of digital tools to support the evaluation and management of caregiver needs in a manner that helps them remain effective in their caregiving roles.

Purpose: The purpose of this study was to investigate the effect of variable intensities on a simple memory recognition task during exercise.
Methods: Twenty active participants took part in initial testing, a familiarization trial and then four 60 min cycling interventions in a randomized order. Interventions consisted of no exercise (control), constant exercise at 90% ventilatory threshold (constant) and 2 trials that initially mimicked the constant trial, but then included periods of high (∼90% VO2peak) and low intensities (∼50%VO2peak). Cardiorespiratory measures and capillary blood samples were taken throughout. A short tablet-based cognitive task was completed prior to and during (50 and 55 min into exercise) each intervention.
Results: The exercise conditions facilitated response time (p = 0.009), although the extent of this effect was not as strong in the variable exercise conditions (p = 0.011–0.089). High intensity exercise periods resulted in some cognitive regression back towards control trial performance. Elevations in cardiorespiratory measures and periods of hypocapnia could not explain changes in cognitive performance.
Conclusion: Changes in cognitive performance with variations in exercise intensity are likely to have implications for sport and occupational settings. The timing of cognitive tests to exercise intensity changes as well as use of short cognitive assessments will be important for future work.

PURPOSE: The study aimed to assess whether engagement in a memory training programme and performing internet brain training exercises improve memory function in people with temporal lobe epilepsy (TLE).
METHODS: Seventy-seven people with TLE, complaining of memory difficulties, completed the study. Participants ranged in age from 19 to 67 years and 40 had left TLE. Participants were randomised to one of four conditions; Group 1: traditional memory training, Group 2: Lumosity, an on-line cognitive training programme, Group 3: traditional memory training and Lumosity, and Group 4: no training. Memory efficiency and mood were assessed at baseline and three months later.
RESULTS: Group analyses indicated improved verbal recall after training (p<0.001) and improved subjective ratings (p<0.007). More participants reported a lessening of the memory burden (p<0.007) after training; differences were significant between Groups 1 and 3 compared to Group 4. Lumosity use was not associated with changes in the memory outcome measures but there was a relationship with depression ratings and the number of memory games played (p<0.01). Conventional memory training, IQ, and post-surgical status were associated with positive memory outcomes.
CONCLUSIONS: The study indicates traditional memory rehabilitation techniques can help reduce the burden of memory impairment in TLE. There was no evidence that Lumosity the on-line cognitive training programme had specific advantages. Positive change was not universal and larger studies will be required to explore factors associated with successful outcomes.

In this longitudinal intervention study with experimental and control groups, we investigated the effects of video game training on the visuospatial working memory (WM) and episodic memory of healthy older adults. Participants were 19 volunteer older adults, who received 15 1-h video game training sessions with a series of video games selected from a commercial package (Lumosity), and a control group of 20 healthy older adults. The results showed that the performance of the trainees improved significantly in all the practiced video games. Most importantly, we found significant enhancements after training in the trained group and no change in the control group in two computerized tasks designed to assess visuospatial WM, namely the Corsi blocks task and the Jigsaw puzzle task. The episodic memory and short-term memory of the trainees also improved. Gains in some WM and episodic memory tasks were maintained during a 3-month follow-up period. These results suggest that the aging brain still retains some degree of plasticity, and that video game training might be an effective intervention tool to improve WM and other cognitive functions in older adults.

Background: While clinical evidence for the efficacy of brain training remains in question, numerous smartphone applications (apps) already offer brain training directly to consumers. Little is known about why consumers choose to download these apps, how they use them, and what benefits they perceive. Given the high rates of smartphone ownership in those with internet access and the younger demographics, we chose to approach this question first with a general population survey that would capture primarily this demographic.
Method: We conducted an online internet-based survey of the US population via mTurk regarding their use, experience, and perceptions of brain training apps. There were no exclusion criteria to partake although internet access was required. Respondents were paid 20 cents for completing each survey. The survey was offered for a 2-week period in September 2015.
Results: 3125 individuals completed the survey and over half of these were under age 30. Responses did not significantly vary by gender. The brain training app most frequently used was Lumosity. Belief that a brain-training app could help with thinking was strongly correlated with belief it could also help with attention, memory, and even mood. Beliefs of those who had never used brain-training apps were similar to those who had used them. Respondents felt that data security and lack of endorsement from a clinician were the two least important barriers to use.
Discussion: Results suggest a high level of interest in brain training apps among the US public, especially those in younger demographics. The stability of positive perception of these apps among app-naïve and app-exposed participants suggests an important role of user expectations in influencing use and experience of these apps. The low concern about data security and lack of clinician endorsement suggest apps are not being utilized in clinical settings. However, the public’s interest in the effectiveness of apps suggests a common theme with the scientific community’s concerns about direct to consumer brain training programs.

Cognitive impairment after stroke has a direct impact on daily functioning and quality of life (QoL) of patients and is associated with higher mortality and healthcare costs. The aim of this study was to determine the effect of a computer-based brain training programme on cognitive functioning, QoL and self-efficacy compared to a control condition in stroke patients. Stroke patients with self-perceived cognitive impairment were randomly allocated to the intervention or control group. The intervention consisted of an 8-week brain training programme (Lumosity Inc.®). The control group received general information about the brain weekly. Assessments consisted of a set of neuropsychological tests and questionnaires. In addition, adherence with trained computer tasks was recorded. No effect of the training was found on cognitive functioning, QoL or self-efficacy when compared to the control condition, except for very limited effects on working memory and speed. This study found very limited effects on neuropsychological tests that were closely related to trained computer tasks, but no transfers to other tests or self-perceived cognitive failures, QoL or self-efficacy. These findings warrant the need for further research into the value of computer-based brain training to improve cognitive functioning in the chronic phase after stroke.

This randomized controlled study (ClinicalTrials.gov NCT02007616) investigated the maintenance of training effects of 20 1-hr non-action video game training sessions with selected games from a commercial package on several age-declining cognitive functions and subjective wellbeing after a 3-month no-contact period. Two groups of cognitively normal older adults participated in both the post-training (posttest) and the present follow-up study, the experimental group who received training and the control group who attended several meetings with the research team during the study but did not receive training. Groups were similar at baseline on demographics, vocabulary, global cognition, and depression status. Significant improvements in the trained group, and no variation in the control group had been previously found at posttest, in processing speed, attention and visual recognition memory, as well as in two dimensions of subjective wellbeing. In the current study, improvement from baseline to 3 months follow-up was found only in wellbeing (Affection and Assertivity dimensions) in the trained group whereas there was no change in the control group. Previous significant improvements in processing speed, attention and spatial memory become non-significant after the 3-month interval. Training older adults with non-action video games enhanced aspects of cognition just after training but this effect disappeared after a 3-month no-contact follow-up period. Cognitive plasticity can be induced in older adults by training, but to maintain the benefits periodic boosting sessions would be necessary.

BACKGROUND: 

Cognitive impairment represents a critical unmet treatment need in multiple sclerosis (MS). Cognitive remediation is promising but traditionally requires multiple clinic visits to access treatment. Computer-based programs provide remote access to intensive and individually-adapted training.

OBJECTIVE: 

Our goal was to develop a protocol for remotely-supervised cognitive remediation that enables individuals with MS to participate from home while maintaining the standards for clinical study.

METHODS:

MS participants (n = 20) were randomized to either an active cognitive remediation program (n = 11) or a control condition of ordinary computer games (n = 9). Participants were provided study laptops to complete training for five days per week over 12 weeks, targeting a total of 30 hours. Treatment effects were measured with composite change via scores of a repeated neuropsychological battery.

RESULTS: 

Compliance was high with an average of 25.0 hours of program use (80% of the target) and did not differ between conditions (25.7 vs. 24.2 mean hours, p = 0.80). The active vs. control participants significantly improved in both the cognitive measures (mean composite z-score change of 0.46 ± 0.59 improvement vs. −0.14 ± 0.48 decline,p = 0.02) and motor tasks (mean composite z-score change of 0.40 ± 0.71improvement vs. −0.64 ± 0.73 decline, p = 0.005).

CONCLUSIONS: 

Remotely-supervised cognitive remediation is feasible for clinical study with potential for meaningful benefit in MS.

The notion that human learning follows a smooth power law (PL) of diminishing gains is well-established in psychology. This characteristic is observed when multiple curves are averaged, potentially masking more complex dynamics underpinning the curves of individual learners. Here, we analyzed 25,280 individual learning curves, each comprising 500 measurements of cognitive performance taken from four cognitive tasks. A piecewise PL (PPL) model explained the individual learning curves significantly better than a single PL, controlling for model complexity. The PPL model allows for multiple PLs connected at different points in the learning process. We also explored the transition dynamics between PL curve component pieces. Performance in later pieces typically surpassed that in earlier pieces, after a brief drop in performance at the transition point. The transition rate was negatively associated with age, even after controlling for overall performance. Our results suggest at least two processes at work in individual learning curves: locally, a gradual, smooth improvement, with diminishing gains within a specific strategy, which is modeled well as a PL; and globally, a discrete sequence of strategy shifts, in which each strategy is better in the long term than the ones preceding it. The piecewise extension of the classic PL of practice has implications for both individual skill acquisition and theories of learning.

INTRODUCTION:

Lumosity's Memory Match (LMM) is an online game requiring visual working memory. Change in LMM scores may be associated with individual differences in age-related changes in working memory.

BACKGROUND:

A variety of studies have demonstrated gains in cognitive ability following cognitive training interventions. However, other studies have not shown such gains, and questions remain regarding the efficacy of specific cognitive training interventions. Cognitive training research often involves programs made up of just one or a few exercises, targeting limited and specific cognitive endpoints. In addition, cognitive training studies typically involve small samples that may be insufficient for reliable measurement of change. Other studies have utilized training periods that were too short to generate reliable gains in cognitive performance.

METHODS:

The present study evaluated an online cognitive training program comprised of 49 exercises targeting a variety of cognitive capacities. The cognitive training program was compared to an active control condition in which participants completed crossword puzzles. All participants were recruited, trained, and tested online (N = 4,715 fully evaluable participants). Participants in both groups were instructed to complete one approximately 15-minute session at least 5 days per week for 10 weeks.

RESULTS:

Participants randomly assigned to the treatment group improved significantly more on the primary outcome measure, an aggregate measure of neuropsychological performance, than did the active control group (Cohen’s d effect size = 0.255; 95% confidence interval = [0.198, 0.312]). Treatment participants showed greater improvements than controls on speed of processing, short-term memory, working memory, problem solving, and fluid reasoning assessments. Participants in the treatment group also showed greater improvements on self-reported measures of cognitive functioning, particularly on those items related to concentration compared to the control group (Cohen’s d = 0.249; 95% confidence interval = [0.191, 0.306]).

CONCLUSION:

Taken together, these results indicate that a varied training program composed of a number of tasks targeted to different cognitive functions can show transfer to a wide range of untrained measures of cognitive performance.

Emerging evidence suggests that meditation engenders prosocial behaviors meant to benefit others. However, the robustness, underlying mechanisms, and potential scalability of such effects remain open to question. The current experiment employed an ecologically valid situation that exposed participants to a person in visible pain. Following three-week, mobile-app based training courses in mindfulness meditation or cognitive skills (i.e., an active control condition), participants arrived at a lab individually to complete purported measures of cognitive ability. Upon entering a public waiting area outside the lab that contained three chairs, participants seated themselves in the last remaining unoccupied chair; confederates occupied the other two. As the participant sat and waited, a third confederate using crutches and a large walking boot entered the waiting area while displaying discomfort. Compassionate responding was assessed by whether participants gave up their seat to allow the uncomfortable confederate to sit, thereby relieving her pain. Participants’ levels of empathic accuracy was also assessed. As predicted, participants assigned to the mindfulness meditation condition gave up their seats more frequently than did those assigned to the active control group. In addition, empathic accuracy was not increased by mindfulness practice, suggesting that mindfulness-enhanced compassionate behavior does not stem from associated increases in the ability to decode the emotional experiences of others.

The NeuroCognitive Performance Test (NCPT) is a brief, repeatable, web-based cognitive assessment platform that measures performance across several cognitive domains. The NCPT platform is modular and includes 18 subtests that can be arranged into customized batteries. Here we present normative data from a sample of 130,140 healthy volunteers for an NCPT battery consisting of 8 subtests. Participants took the NCPT remotely and without supervision. Factor structure and effects of age, education, and gender were evaluated with this normative dataset. Test-retest reliability was evaluated in a subset of participants who took the battery again an average of 78.8 days later. The eight NCPT subtests group into 4 putative cognitive domains, have adequate to good test-retest reliability, and are sensitive to expected age- and education-related cognitive effects. Concurrent validity to standard neuropsychological tests was demonstrated in 73 healthy volunteers. In an exploratory analysis the NCPT battery could differentiate those who self-reported Mild Cognitive Impairment or Alzheimer's disease from matched healthy controls. Overall these results demonstrate the reliability and validity of the NCPT battery as a measure of cognitive performance and support the feasibility of web-based, unsupervised testing, with potential utility in clinical and research settings.

The aim of this study was to examine whether people differed in change in performance across the first five blocks of an online flanker task and whether those trajectories of change were associated with self-reported aerobic or resistance exercise frequency according to age. A total of 8752 men and women aged 13-89 completed a lifestyle survey and five 45-s games (each game was a block of ~46 trials) of an online flanker task. Accuracy of the congruent and incongruent flanker stimuli was analyzed using latent class and growth curve modeling adjusting for time between blocks, whether the blocks occurred on the same or different days, education, smoking, sleep, caffeinated coffee and tea use, and Lumosity training status ("free play" or part of a "daily brain workout"). Aerobic and resistance exercise were unrelated to first block accuracies. For the more cognitively demanding incongruent flanker stimuli, aerobic activity was positively related to the linear increase in accuracy [B=0.577%, 95% confidence interval (CI), 0.112 to 1.25 per day above the weekly mean of 2.8 days] and inversely related to the quadratic deceleration of accuracy gains (B=-0.619% CI, -1.117 to -0.121 per day). An interaction of aerobic activity with age indicated that active participants younger than age 45 had a larger linear increase and a smaller quadratic deceleration compared to other participants. Age moderates the association between self-reported aerobic, but not self-reported resistance, exercise and changes in cognitive control that occur with practice during incongruent presentations across five blocks of a 45-s online, flanker task.

This study examines the impact of individually oriented, purely altruistic, and a hybrid of competitive and cooperative monetary reward incentives on older adults' completion of cognitive exercises and cognitive function. We find that all three incentive structures approximately double the number of exercises completed during the six-week active experimental period relative to a no incentive control condition. However, the altruistic and cooperative/competitive incentives led to different patterns of participation, with significantly higher inter-partner correlations in utilization of the software, as well as greater persistence once incentives were removed. Provision of all incentives significantly improved performance on the incentivized exercises. However, results of an independent cognitive testing battery suggest no generalizable gains in cognitive function resulted from the training.

In this study, we tested 77 undergraduates who were randomly assigned to play either a popular video game (Portal 2) or a popular brain training game (Lumosity) for 8 h. Before and after gameplay, participants completed a set of online tests related to problem solving, spatial skill, and persistence. Results revealed that participants who were assigned to play Portal 2 showed a statistically significant advantage over Lumosity on each of the three composite measures—problem solving, spatial skill, and persistence. Portal 2 players also showed significant increases from pretest to posttest on specific small- and large-scale spatial tests while those in the Lumosity condition did not show any pretest to posttest differences on any measure. Results are discussed in terms of the positive impact video games can have on cognitive and noncognitive skills.

Age-related cognitive and brain declines can result in functional deterioration in many cognitive domains, dependency, and dementia. A major goal of aging research is to investigate methods that help to maintain brain health, cognition, independent living and wellbeing in older adults. This randomized controlled study investigated the effects of 20 1-h non-action video game training sessions with games selected from a commercially available package (Lumosity) on a series of age-declined cognitive functions and subjective wellbeing. Two groups of healthy older adults participated in the study, the experimental group who received the training and the control group who attended three meetings with the research team along the study. Groups were similar at baseline on demographics, vocabulary, global cognition, and depression status. All participants were assessed individually before and after the intervention, or a similar period of time, using neuropsychological tests and laboratory tasks to investigate possible transfer effects. The results showed significant improvements in the trained group, and no variation in the control group, in processing speed (choice reaction time), attention (reduction of distraction and increase of alertness), immediate and delayed visual recognition memory, as well as a trend to improve in Affection and Assertivity, two dimensions of the Wellbeing Scale. Visuospatial working memory (WM) and executive control (shifting strategy) did not improve. Overall, the current results support the idea that training healthy older adults with non-action video games will enhance some cognitive abilities but not others.

BACKGROUND:

Dementia affects 35 million people worldwide and is currently incurable. Many cases may be preventable because regular participation in physical, mental and social leisure activities during middle age is associated with up to 47% dementia risk reduction. However, the majority of middle-aged adults are not active enough. MCI is therefore a clear target for activity interventions aimed at reducing dementia risk. An active lifestyle during middle age reduces dementia risk but it remains to be determined if increased activity reduces dementia risk when MCI is already evident. Before this can be investigated conclusively, complex multimodal activity programmes are required that (1) combine multiple health promoting activities, (2) engage people with MCI, and (3) result in sufficient adherence rates.

METHODS:

We designed the ThinkingFit programme to engage people with MCI in a complex intervention comprised of three activity components: physical activity, group-based cognitive stimulation (GCST) and individual cognitive stimulation (ICST). Engagement and adherence was promoted by applying specific psychological techniques to enhance behavioural flexibility in an early pre-phase and during the course of the intervention. To pilot the intervention, participants served as their own controls during a 6- to 12-week run-in period, which was followed by 12 weeks of activity intervention.

RESULTS:

Out of 212 MCI patients screened, 163 were eligible, 70 consented and 67 completed the intervention (mean age 74 years). Activity adherence rates were high: physical activity = 71%; GCST = 83%; ICST = 67%. Significant treatment effects (p < .05) were evident on physical health outcomes (decreased BMI and systolic blood pressure, [pre/post values of 26.3/25.9 kg/m2 and 145/136 mmHg respectively]), fitness (decreased resting and recovery heart rate [68/65 bpm and 75/69 bpm]), and cognition (improved working memory [5.3/6.3 items]).

CONCLUSIONS:

We found satisfactory recruitment, retention and engagement rates, coupled with significant treatment effects in elderly MCI patients. It appears feasible to conduct randomized controlled trials of the dementia prevention potential of complex multimodal activity programmes like ThinkingFit.

TRIAL REGISTRATION:

ClinicalTrials.gov registration nr: NCT01603862; date: 17/5/2012.

This study investigated the feasibility and potential behavioral benefits of 40hours/8weeks of computer-based TCT in a single group of CHR participants. Cognitive and functional outcome were assessed with measures recommended for clinical trials, including the MATRICS Consensus Cognitive Battery (MCCB) and Global Functioning (GF): Role and Social scales(Cornblatt et al., 2007). Training performance was analyzed to: verify the relationship between training engagement and treatment outcome; identify an early predictor of treatment response; and evaluate intervention length.

A major goal of recent research in aging has been to examine cognitive plasticity in older adults and its capacity to counteract cognitive decline. The aim of the present study was to investigate whether older adults could benefit from brain training with video games in a cross-modal oddball task designed to assess distraction and alertness. Twenty-seven healthy older adults participated in the study (15 in the experimental group, 12 in the control group. The experimental group received 20 1-hr video game training sessions using a commercially available brain-training package (Lumosity) involving problem solving, mental calculation, working memory and attention tasks. The control group did not practice this package and, instead, attended meetings with the other members of the study several times along the course of the study. Both groups were evaluated before and after the intervention using a cross-modal oddball task measuring alertness and distraction. The results showed a significant reduction of distraction and an increase of alertness in the experimental group and no variation in the control group. These results suggest neurocognitive plasticity in the old human brain as training enhanced cognitive performance on attentional functions.

OBJECTIVES:

We evaluated whether commercially available, computerized “brain-training” games can be used to identify subtle cognitive impairments in patients with cirrhosis.

METHODS:

We compared patients with cirrhosis who did not have overt encephalopathy (n=31), patients with pre-cirrhotic chronic liver disease (n=28), and normal controls without liver disease (n=16) with respect to their scores on the number connection test-A (NCT-A), the Inhibitory Control Test (ICT), and five, short (~2.5 min), brain-training games that were administered on an Apple iPad and tested different cognitive domains.

RESULTS:

Patients with cirrhosis had similar scores to patients with pre-cirrhotic liver disease and slightly worse scores than normal controls in the NCT-A and the ICT, although these differences were not statistically significant. In contrast, patients with cirrhosis had significantly worse scores than patients with pre-cirrhotic liver disease and even more so than normal controls in all five of the brain-training games. After adjustment for age and educational attainment, these differences remained significant for two of the tests, “Color Match” which is a version of the Stroop test and measures selective attention, and “Memory Matrix”, which measures visuospatial memory. The area under the receiver operating characteristic curve discriminating cirrhosis from pre-cirrhotic liver disease was 0.56 (95% confidence interval (CI) 0.41–0.72) for the ICT and 0.58 (95% CI 0.43–0.73) for the NCT-A, indicating no discrimination, while it was 0.75 (95% CI 0.63–0.87) for “Color Match” and 0.77 (95% CI 0.64–0.90) for “Memory Matrix”, indicating good discrimination.

CONCLUSIONS:

Short, brain-training games administered on an iPad can be used as psychometric tests to detect subtle cognitive impairments in patients with cirrhosis without overt encephalopathy that could not be detected by the NCT-A or the ICT.

BACKGROUND:

A majority of breast cancer (BC) survivors, particularly those treated with chemotherapy, experience long-term cognitive deficits that significantly reduce quality of life. Among the cognitive domains most commonly affected include executive functions (EF), such as working memory, cognitive flexibility, multitasking, planning, and attention. Previous studies in other populations have shown that cognitive training, a behavioral method for treating cognitive deficits, can result in significant improvements in a number of cognitive skills, including EF.

MATERIALS AND METHODS:

In this study, we conducted a randomized controlled trial to investigate the feasibility and preliminary effectiveness of a novel, online EF training program in long-term BC survivors. A total of 41 BC survivors (21 active, 20 wait list) completed the 48 session training program over 12 weeks. The participants were, on average, 6 years after therapy.

RESULTS:

Cognitive training led to significant improvements in cognitive flexibility, verbal fluency and processing speed, with marginally significant downstream improvements in verbal memory as assessed via standardized measures. Self-ratings of EF skills, including planning, organizing, and task monitoring, also were improved in the active group compared with the wait list group.

CONCLUSIONS:

Our findings suggest that EF skills may be improved even in long-term survivors by using a computerized, home-based intervention program. These improvements may potentially include subjective EF skills, which suggest a transfer of the training program to real-world behaviors.

OBJECTIVES:

Moderate intensity aerobic exercise is known to facilitate cognitive performance but new technologies enable increasing opportunities to investigate this phenomenon under different circumstances. This study aimed to describe the effect of exercise on executive function assessed though a novel tablet-based test.

DESIGN:

Twenty healthy, active participants volunteered to take part in the randomised fully controlled trial.

METHODS:

Participants undertook an initial test of maximal aerobic capacity as well as ventilatory threshold during an incremental cycle test. A touch screen tablet computer was placed in the middle of the handlebars at an angle of approximately 45°, and participants were asked to complete the response-inhibition cognitive task (Speed Match, Lumos Labs Inc.) at set time points. A full familiarisation trial was performed prior to subsequent visits, in which participants completed either the control (no exercise) and exercise (90% ventilatory threshold (VT)) trials in a randomised order. During the 1 h trials, the cognitive task was performed prior to, during and post the intervention. Reaction time and accuracy of participant responses were recorded.

RESULTS:

Performing the cognitive task resulted in elevated heart rates and ventilation rates during control and exercise. Exercise facilitated performance in the executive function task such that reaction time was enhanced with no change in accuracy. A range of reliability measures are also reported.

CONCLUSIONS:

This method of assessing executive function during exercise displays face validity and provides promise for further investigation of cognitive function using a simple, short duration, easily administered and widely available test.

With respect to the plans of national and internationals space agencies to send people to Mars or Moon, long-term isolation studies are performed to learn about the psycho-physiological and psycho-social limitations of such missions. From June 3rd 2010 to November 4th 2011 six participants lived under totally isolated and confined conditions in the MARS500 habitat located in Moscow. Despite the possibility to mimic the condition of space travel, this study allowed for experimental conditions under very reliable and traceable conditions. As exercise is widely discussed to have a positive impact on neuro-cognitive performance, this study aimed to test the effect of different exercise protocol (endurance/strength orientated) on brain cortical activity and cognitive performance. Brain cortical activity was recorded using a 16 channel EEG before and after exercise across the 520 days of confinement. Cognitive performance was assessed using three commercially available brain games. Following the theory of transient hypofrontality, results show a significant decrease of frontal brain cortical activity after exercise (p<.05) which was most expressed after endurance orientated protocols. Cognitive performance was improved following running sessions on an active treadmill (p<.05). Results let us assume that not exercise per se acts as a neuro-enhancer. It is more likely that a general defocusing caused by an immersion into exercise is necessary to improve cognitive performance.

Making new breakthroughs in understanding the processes underlying human cognition may depend on the availability of very large datasets that have not historically existed in psychology and neuroscience. Lumosity is a web-based cognitive training platform that has grown to include over 600 million cognitive training task results from over 35 million individuals, comprising the largest existing dataset of human cognitive performance. As part of the Human Cognition Project, Lumosity's collaborative research program to understand the human mind, Lumos Labs researchers and external research collaborators have begun to explore this dataset in order uncover novel insights about the correlates of cognitive performance. This paper presents two preliminary demonstrations of some of the kinds of questions that can be examined with the dataset. The first example focuses on replicating known findings relating lifestyle factors to baseline cognitive performance in a demographically diverse, healthy population at a much larger scale than has previously been available. The second example examines a question that would likely be very difficult to study in laboratory-based and existing online experimental research approaches at a large scale: specifically, how learning ability for different types of cognitive tasks changes with age. We hope that these examples will provoke the imagination of researchers who are interested in collaborating to answer fundamental questions about human cognitive performance.

PRIMARY OBJECTIVE: Computer-based treatments for attention problems have become increasingly popular and available. The researchers sought to determine whether improved performance by survivors of severe traumatic brain injury (TBI) on two computer-based treatments generalized to improvements on comparable, untrained tasks and ecologically-plausible attention tasks comprising a standardized assessment. RESEARCH DESIGN: The researchers used an -A-B-A-C-A treatment design repeated across four adult survivors of severe TBI. METHODS AND PROCEDURES: Participants engaged in 8 weeks of intervention using both Attention Process Training-3 (APT-3) and Lumosity™ (2010) Brain Games. Two participants received APT-3 treatment first, while the other two received Lumosity™ treatment first. All participants received both treatments throughout the course of two, 1-month intervention phases. MAIN OUTCOMES AND RESULTS: Individual growth curve analyses showed participants made significant improvements in progressing through both interventions. However, limited generalization occurred: one participant demonstrated significantly improved performance on one of five probe measures and one other participant showed improved performance on some sub-tests of the Test of Everyday Attention; no other significant generalization results emerged. These findings call into question the assumption that intervention using either APT-3 or Lumosity™ will prompt generalization beyond the actual tasks performed during treatment.

The short term impact of a memory rehabilitation programme on verbal memory test performance and subjective ratings of memory in everyday life was assessed in healthy controls and left temporal lobe epilepsy (LTLE) surgical patients. The intervention involved training in the use of external and internal memory support strategies. Half of the sample in addition undertook computerised brain training exercises as homework. LTLE patients were seen either before surgery or 3–6 months after their operation. Improvements in verbal memory were observed in both groups. An effect of brain training was recorded but this did not occur in a consistent direction. Subjective ratings of memory indicated improvements that were significant for the LTLE group but not the controls. Positive changes in the memory outcome measures were associated with improvements in mood. Pre-operative memory rehabilitation was not associated with better outcomes than post-operative intervention. Further research is needed to explore the persistence of the changes observed and to explore if pre-operative rehabilitation offsets post-operative memory decline.

The results of a pilot randomised controlled trial of computerised cognitive training in older adults with mild cognitive impairment (MCI) are reported. Participants (N = 25) were randomised into either the treatment or waitlist training groups. Sixteen participants completed the 30-session computerised cognitive training program using exercises that target a range of cognitive functions including attention, processing speed, visual memory and executive functions. It was hypothesised that participants would improve with practice on the trained tasks, that the benefits of training would generalise to nontrained neuropsychological measures, and that training would result in improved perceptions of memory and memory functioning when compared with waitlist controls. Results indicated that participants were able to improve their performance across a range of tasks with training. There was some evidence of generalisation of training to a measure of visual sustained attention. There were no significant effects of training on self-reported everyday memory functioning or mood. The results are discussed along with suggestions for future research.

A variety of studies have demonstrated gains in cognitive ability following cognitive training interventions. However, other studies have not shown such gains, and questions remain regarding the efficacy of specific cognitive training interventions. Cognitive training research often involves programs made up of just one or a few exercises, targeting limited and specific cognitive endpoints. In addition, cognitive training studies typically involve small samples that may be insufficient for reliable measurement of change. Other studies have utilized training periods that were too short to generate reliable gains in cognitive performance. To address these considerations, the present study evaluated an online cognitive training program comprised of 49 distinct exercises targeting a variety of cognitive capacities. The cognitive training program was compared to an active control condition in which participants completed crossword puzzles. All participants were recruited, trained, and tested online (N=4,715 fully evaluable participants). Participants in both groups were instructed to complete one approximately 15-minute session at least 5 days per week for 10 weeks. Participants randomly assigned to the treatment group improved significantly more on the primary outcome measure, an aggregate measure of neuropsychological performance, than did the active control group. Treatment participants showed greater improvements than controls on speed of processing, short-term memory, working memory, problem solving, and fluid reasoning assessments. Participants in the treatment group also showed greater improvements

on self-reported measures of cognitive functioning, particularly on those items related to concentration. Taken together, these results indicate that a varied training program composed of a number of tasks targeted to different cognitive functions can show transfer to a wide range of untrained measures of cognitive performance.

PRIMARY OBJECTIVES:

Children with a history of cancer are at increased risk for cognitive impairments, particularly in executive and memory domains. Traditional, in-person cognitive rehabilitation strategies may be unavailable and/or impractical for many of these children given difficulties related to resources and health status. The feasibility and efficacy of implementing a computerized, home-based cognitive rehabilitation curriculum designed to improve executive function skills was examined in these children.

METHODS:

A one-arm open trial pilot study of an original executive function cognitive rehabilitation curriculum was conducted with 23 paediatric cancer survivors aged 7-19.

RESULTS:

Compliance with the cognitive rehabilitation program was 83%, similar to that of many traditional programs. Following the cognitive intervention, participants showed significantly increased processing speed, cognitive flexibility, verbal and visual declarative memory scores as well as significantly increased pre-frontal cortex activation compared to baseline.

CONCLUSIONS:

These results suggest that a program of computerized cognitive exercises can be successfully implemented at home in young children with cancer. These exercises may be effective for improving executive and memory skills in this group, with concurrent changes in neurobiologic status.

Number sense is believed to be critical for math development. It is putatively an implicitly learned skill and may therefore have limitations in terms of being explicitly trained, particularly in individuals with altered neurodevelopment. A case series study was conducted using an adaptive, computerised programme that focused on number sense and general problem-solving skills. The study was designed to investigate training effects on performance as well as brain function in a group of children with Turner syndrome who are at risk for math difficulties and altered development of math-related brain networks. Standardised measurements of math and math-related cognitive skills as well as functional magnetic resonance imaging (fMRI) were used to assess behavioural and neurobiological outcomes following training. Participants demonstrated significantly increased basic math skills, including number sense, and calculation as well as processing speed, cognitive flexibility and visual-spatial processing skills. With the exception of calculation, increased scores also were clinically significant (i.e., recovered) based on reliable change analysis. Participants additionally demonstrated significantly increased bilateral parietal lobe activation and decreased frontal-striatal and mesial temporal activation following the training programme. These findings show proof of concept for an accessible training approach that may be potentially associated with improved number sense, math and related skills, as well as functional changes in math-related neural systems, even among individuals at risk for altered brain development.