Human Cognition Project

Through this program, the Human Cognition Project (HCP), we grant qualified researchers free access to Lumosity brain training games, cognitive assessments, and subsets of our massive de-identified historical dataset.

100+

Research partners

130+

Peer-reviewed articles

40+

Ongoing studies

8B+

Cognitive gameplays

Facilitating research

We support scientific experts across multiple fields studying diverse populations. Our tools are used in research across various disciplines, including epidemiology, economics, clinical psychology, and educational psychology. The subjects of these studies have encompassed both healthy and clinical populations of all ages, including those with conditions such as multiple sclerosis, Alzheimer’s and other dementias, depression, and cancer survivors.

Research methods also range, with prospective studies leveraging our brain games and cognitive assessments, as well as retrospective studies leveraging subsets of our massive, de-identified dataset.

Along with our tools, Lumos Labs scientists are here to offer support on study design, data analysis, secure data storage, and regular delivery of study data.

We welcome thoughtful, forward-thinking proposals from researchers worldwide. Lumos Labs’ scientists screen each application for rigor, feasibility, and the potential for the study to move scientific understanding forward.

What we offer:

Partner with Lumos Labs to advance and accelerate your research through any combination of the following tools.

To use Lumos Labs software or data in your research, please apply below:

  • The Lumosity brain training program includes  a library of 40+ game-based training tasks spanning cognitive domains such as Attention, Memory, and Problem Solving. The games are based on a combination of common neuropsychological and cognitive tasks, many of which have been used in research for decades, as well as new tasks designed by Lumos Labs scientists. Training exposes each user to gradually increasing levels of challenges, adapting task difficulty to individual abilities.  

    Lumosity brain training typically consists of 15-minute daily sessions that serve 5 different games each day. However, researchers have the option to customize their own daily sessions of games to address their specific research questions. While Lumosity games are designed to be a cognitive training intervention, they have also been used as cognitive measures in prior research. They are well characterized in the scientific literature.

  • The NeuroCognitive Performance Test (NCPT) is a validated, brief, repeatable, modular, online neuropsychological assessment platform designed by Lumos Labs. It is optimized for at-home, unsupervised use through a web browser, and can also be administered in a clinical setting.

    The NCPT includes 17 subtests that can be combined into customized test batteries. NCPT subtests are computerized versions of well-known neuropsychological assessments and include tests of memory, processing speed, reasoning, attention, cognitive flexibility, and more. The NCPT is sensitive to within-individual changes in performance, which makes it a useful outcome measure for studies that follow the traditional pre- and post- test framework.

  • HCP research collaborators can gain access to subsets of de-identified cognitive data from Lumosity or the NCPT. Combined, these datasets include over 100 million individuals and more than 8 billion cognitive task completions. Depending on the research question, datasets can include overall game performance, or within-game trial-by-trial measures, for individuals who are characterized with basic demographics such as age, gender and education. We follow the Safe Harbour data de-identification process.

Previous studies using Lumos Labs research tools

Below is a list of peer-reviewed publications from our team and HCP collaborators, including observational studies regarding trends in Lumosity data and clinical research involving subjects diagnosed with a variety of medical conditions. Publications are sorted by year first, then alphabetically by first author surname.

  1. Gozdas, E., Avelar-Pereira, B., Fingerhut, H., Dacorro, L., Jo, B., Williams, L., ... & Hosseini, S. M. (2024). Long-term cognitive training enhances fluid cognition and brain connectivity in individuals with MCI. Translational Psychiatry, 14(1), 1-9. doi: 10.1038/s41398-024-03153-x

  2. Salvatierra-Calderón, V., Romero-Pérez, E. M., Lemes, V., Sadarangani, K. P., Reyes-Molina, D., Delgado-Floody, P., ... & Cristi-Montero, C. (2024). The multiple mediation impact of adolescents' physical fitness and cognitive perceptions on their objective measures–The Cogni-Action Project. Psychology of Sport and Exercise, 75, 102721. doi: 10.1016/j.psychsport.2024.102721

  3. Diedrich, L., Kolhoff, H. I., Bergmann, C., Bähr, M., & Antal, A. (2024). Boosting working memory in the elderly: driving prefrontal theta–gamma coupling via repeated neuromodulation. GeroScience, 1-16. doi: 10.1007/s11357-024-01272-3

  4. Diedrich, L., Kolhoff, H. I., Chakalov, I., Vékony, T., Németh, D., & Antal, A. (2024). Prefrontal theta—gamma transcranial alternating current stimulation improves non-declarative visuomotor learning in older adults. Scientific Reports, 14(1), 4955. doi: 10.1038/s41598-024-55125-2

  5. Ershadi Chahardeh, Sh., Seadatee Shamir, A., Zabihi, R. (2024). The Effectiveness of Lumosity-Based Cognitive Empowerment on Maher Fluid Intelligence and Cognitive Functions in Elementary School Boys. International Journal of Education and Cognitive Sciences, 5(3), 16-23. doi: 10.61838/kman.ijeas.5.3.3

  6. Flink, C. C., Hobohm, R. E., Zhang, B., Jacobson, D. L., & England, E. B. (2024). Effects of night-float shifts on cognitive function among radiology residents. Emergency Radiology, 1-7. doi: 10.1007/s10140-024-02269-3

  7. Holzer, K. J., Todorovic, M. S., Wilson, E. A., Steinberg, A., Avidan, M. S., & Haroutounian, S. (2024). Cognitive flexibility training for chronic pain: a randomized clinical study. Pain Reports, 9(2), e1120. doi: 10.1097/PR9.0000000000001120

  8. Jaffe, P. I., Santiago-Reyes, G. X., Schafer, R. J., Bissett, P. G., & Poldrack, R. A. (2024). An image-computable model of speeded decision-making. eLife 13, RP98351. doi: 10.7554/eLife.98351.1

  9. Krebs, B. (2024). Temperature and Cognitive Performance: Evidence from Mental Arithmetic Training. Environ Resource Econ 87, 2035–2065. doi: 10.1007/s10640-024-00881-y

  10. Peña-Jorquera, H., Martínez-Flores, R., Espinoza-Puelles, J. P., López-Gil, J. F., Ferrari, G., Zapata-Lamana, R., ... & Cristi-Montero, C. (2024). Adolescents with a Favorable Mediterranean-Style-Based Pattern Show Higher Cognitive and Academic Achievement: A Cluster Analysis—The Cogni-Action Project. Nutrients, 16(5), 608. doi: 10.3390/nu16050608

  11. Rafique  A. (2024). Influence of listening to Al-Fatiha on blood parameters and cognitive functions in patients with cerebral palsy. Pakistan Journal of Rehabilitation. 13(2):135–144. doi: 10.36283/pjr.zu.13.2/017

  12. "Rafique, A. (2024). Negative Air Ions (NAIs) as cognitive rehabilitation therapy for cerebral palsy patients. Journal Riphah College of Rehabilitation Sciences, 12(2). doi: 10.53389/JRCRS.202

  13. 4120207"

  14. Song, H., Cai, L. (2024). Interactive learning environment as a source of critical thinking skills for college students. BMC Medical Education, 24, 270. doi:10.1186/s12909-024-05247-y

  15. Ueda, R., Sakakura, K., Mitsuhashi, T., Sonoda, M., Firestone, E., Kuroda, N., ... & Asano, E. (2024). Cortical and white matter substrates supporting visuospatial working memory. Clinical Neurophysiology, 162, 9-27. doi: 10.1016/j.clinph.2024.03.008

  16. Abou-Shady, N. A. E., Omara, T., Soliman, K. M. A. E. H., & Abdelhakiem, N. M. (2023). Influence of Mobile Application Based Brain Training Program on Cognitive Function and Quality of Life in Patients Post Stroke. Journal of Advanced Zoology, 44(S-3), 204-210. doi: 10.17762/jaz.v44iS-3.568

  17. Adjetey, C., Davis, J. C., Falck, R. S., Best, J. R., Dao, E., Bennett, K., ... & Liu-Ambrose, T. (2023). Economic Evaluation of Exercise or Cognitive and Social Enrichment Activities for Improved Cognition After Stroke. JAMA Network Open, 6(11), e2345687-e2345687. doi: 10.1001/jamanetworkopen.2023.45687

  18. Bacolod, M., Blum, B. S., Rangel, M. A., & Strange, W. C. (2023). Learners in cities: Agglomeration and the spatial division of cognition. Regional Science and Urban Economics, 98, 103838. doi: 10.1016/j.regsciurbeco.2022.103838

  19. "Berry, J., Marceau, E.M., & Lunn, J. (2023). Feasibility, reliability and validity of a modified approach to goal attainment scaling to measure goal outcomes following

  20. cognitive remediation in a residential substance use disorder rehabilitation setting. Australian Journal of Psychology, 75:1, 2170652, doi: 10.1080/00049530.2023.2170652"

  21. Chan, M. M., Choi, C. X., Tsoi, T. C., Shea, C. K., Yiu, K. W., & Han, Y. M. (2023). Effects of multisession cathodal transcranial direct current stimulation with cognitive training on sociocognitive functioning and brain dynamics in ASD: A double-blind, sham-controlled, randomized EEG study. Brain Stimulation, 16(6), P1604-1616. doi: 10.1016/j.brs.2023.10.012

  22. Corti, C., Oldrati, V., Papini, M., Strazzer, S., Poggi, G., Romaniello, R., ... & Bardoni, A. (2023). Randomized clinical trial on the effects of a computerized cognitive training for pediatric patients with acquired brain injury or congenital malformation. Scientific Reports, 13(1), 14559. doi: 10.1038/s41598-023-41810-1

  23. De Anda-Duran, I., Hwang, P. H., Popp, Z., Low, S., Ding, H., Rahman, S., ... & Au, R. Matching Science to Reality: How to deploy a participant-driven digital brain health platform. Frontiers in Dementia, 2, 7. doi: 10.3389/frdem.2023.1135451

  24. Han, Y. M., Chan, M. M., Shea, C. K., Mo, F. Y., Yiu, K. W., Chung, R. C., ... & Chan, A. S. (2023). Effects of prefrontal transcranial direct current stimulation on social functioning in autism spectrum disorder: A randomized clinical trial. Autism, 27(8), 2465-2482. doi: 10.1177/13623613231169547

  25. Jaffe, P. I., Poldrack, R. A., Schafer, R. J., & Bissett, P. G. (2023). Modelling human behaviour in cognitive tasks with latent dynamical systems. Nature Human Behaviour, 1-15. doi: 10.1038/s41562-022-01510-8

  26. Motter, J. N., Rushia, S. N., Qian, M., Ndouli, C., Nwosu, A., Petrella, J. R., ... & Devanand, D. P. (2023). Expectancy Does Not Predict 18-month Treatment Outcomes with Cognitive Training in Mild Cognitive Impairment. The Journal of Prevention of Alzheimer's Disease, 1-8. doi: 10.14283/jpad.2023.62

  27. Nwosu, A., Qian, M., Phillips, J., Hellegers, C. A., Rushia, S., Sneed, J., ... & Doraiswamy, P. M. (2023). Computerized Cognitive Training in Mild Cognitive Impairment: Findings in African Americans and Caucasians. The Journal of Prevention of Alzheimer's Disease, 1-6. doi: 10.14283/jpad.2023.80

  28. Osman, A.M., Jaffe, P.I., Ng, N.F., Kerlan, K.R., Schafer, R.J.. (2023). Transfer of learning: Analysis of dose-response functions from a large-scale, online, cognitive training dataset. PLoS ONE 18(5): e0281095. doi: 10.1371/journal.pone.0281095

  29. Park, J., Wiese, L. A. K., & Holt, J. (2023). Online Chair Yoga and Digital Learning for Rural Underserved Older Adults at Risk for Alzheimer’s Disease and Related Dementias. Clinical Gerontologist, 1-17. doi: 10.1080/07317115.2023.2277333

  30. Petrella, J. R., Michael, A. M., Qian, M., Nwosu, A., Sneed, J., Goldberg, T. E., ... & Doraiswamy, P. M. (2023). Impact of Computerized Cognitive Training on Default Mode Network Connectivity in Subjects at Risk for Alzheimer’s Disease: A 78-week Randomized Controlled Trial. Journal of Alzheimer's Disease, vol. 91, no. 1, pp. 483-494. doi: 10.3233/JAD-220946

  31. Reiber, F., & Ulrich, R. (2023). Exploring Effects of Age on Conflict Processing in the Light of Practice in a Large-Scale Dataset. Experimental aging research, 1–21. doi: 10.1080/0361073X.2023.2214051

  32. Robinson, M. M., & Steyvers, M. (2023). Linking computational models of two core tasks of cognitive control. Psychological Review, 130(1), 71–101. doi:10.1037/rev0000395

  33. "van de Wouw, C.L., Visser, M., Gorter,  J. W., Huygelier, H., & Nijboer, T.C.W. (2023). Systematic review of the effectiveness of innovative, gamified interventions for

  34. cognitive training in paediatric acquired brain injury. Neuropsychological Rehabilitation, 1-32. doi: 10.1080/09602011.2023.2174561"

  35. Weiner, M. W., Aaronson, A., Eichenbaum, J., Kwang, W., Ashford, M. T., Gummadi, S., ... & Nosheny, R. L. (2023). Brain Health Registry updates: An online longitudinal neuroscience platform. Alzheimer's & Dementia, 1-17. doi: 10.1002/alz.13077

  36. Wyatt, L. H., Cleland, S. E., Wei, L., Paul, N., Patil, A., Ward-Caviness, C., ... & Rappold, A. G. (2023). Long-term exposure to ambient O3 and PM2. 5 is associated with reduced cognitive performance in young adults: A retrospective longitudinal repeated measures study in adults aged 18–90 years. Environmental Pollution, 121085. doi: 10.1016/j.envpol.2023.121085

  37. Bayramlar, Z., Ankarali, S., & Ankarali, H. (2022). The relationship between aerobic capacity and cognitive/academic performance in medical students. General Physiology and Biophysics, 41(6), 579-590. doi: 10.4149/gpb_2022031

  38. Beishon, L. C., Haunton, V. J., Bradbury-Jones, C., Subramaniam, H., Mukaetova-Ladinska, E. B., Panerai, R. B., ... & Evley, R. (2022). The Cognition and Flow Study (CogFlowS): A Mixed Method Evaluation of a Randomized Feasibility Trial of Cognitive Training in Dementia. Journal of Alzheimer's Disease, 87(3), 1013-1031. doi: 10.3233/JAD-215726

  39. Cleland, S. E., Wyatt, L. H., Wei, L., Paul, N., Serre, M. L., West, J. J., ... & Rappold, A. G. (2022). Short-Term Exposure to Wildfire Smoke and PM 2.5 and Cognitive Performance in a Brain-Training Game: A Longitudinal Study of US Adults. Environmental Health Perspectives, 130(6), 067005. doi:10.1289/EHP10498

  40. Cristi-Montero, C., Solis-Urra, P., Sanchez-Martinez, J., Olivares-Arancibia, J., Hernández-Jaña, S., Gajardo-Araya, G., ... & Rodríguez-Rodríguez, F. (2022) Which one? A comparative study of traditional and sports uniforms on academic achievement, cognitive performance, playtime, bullying, and discrimination in adolescents: The Cogni-Action Project. Front. Public Health 10:917970. doi: 10.3389/fpubh.2022.917970

  41. Devanand, D. P., Goldberg, T. E., Qian, M., Rushia, S. N., Sneed, J. R., Andrews, H. F., ... & Doraiswamy, P. M. (2022). Computerized games versus crosswords training in mild cognitive impairment. NEJM Evidence, 1(12). doi: 10.1056/EVIDoa2200121

  42. Doraiswamy, P. M., Goldberg, T. E., Qian, M., Linares, A. R., Nwosu, A., Nino, I., ... & Devanand, D. P. (2022). Validity of the Web-Based, Self-Directed, NeuroCognitive Performance Test in Mild Cognitive Impairment. Journal of Alzheimer's disease: JAD, 86(3), 1131-1136. doi: 10.3233/JAD-220015

  43. Han, Y. M., Chan, M. M., Shea, C. K., Lai, O. L. H., Krishnamurthy, K., Cheung, M. C., & Chan, A. S. (2022). Neurophysiological and behavioral effects of multisession prefrontal tDCS and concurrent cognitive remediation training in patients with autism spectrum disorder (ASD): A double-blind, randomized controlled fNIRS study. Brain Stimulation, 15(2), 414-425. doi: 10.1016/j.brs.2022.02.004

  44. Ho, H. Y., Chen, M. D., Tsai, C. C., & Chen, H. M. (2022). Effects of computerized cognitive training on cognitive function, activity, and participation in individuals with stroke: A randomized controlled trial. NeuroRehabilitation, 2022;51(1):79-89. doi: 10.3233/NRE-210271

  45. Jaffe, P. I., Kaluszka, A., Ng, N. F., & Schafer, R. J. (2022). A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment. Sci Data, 9(1), 758. doi: 10.1038/s41597-022-01872-8

  46. Kassam, F., Chen, H., Nosheny, R. L., McGirr, A., Williams, T., Ng, N., ... & Ismail, Z. (2022). Cognitive profile of people with mild behavioral impairment in Brain Health Registry participants. International Psychogeriatrics. 2022 Feb 8;1-10. doi: 10.1017/S1041610221002878

  47. Kumar, A., Benjamin, A. S., Heathcote, A., & Steyvers, M. (2022). Comparing models of learning and relearning in large-scale cognitive training data sets. npj Science of Learning, 7(1), 24. doi: 10.1038/s41539-022-00142-x

  48. Liu-Ambrose, T., Falck, R. S., Dao, E., Best, J. R., Davis, J. C., Bennett, K., ... & Eng, J. J. (2022). Effect of exercise training or complex mental and social activities on cognitive function in adults with chronic stroke: a randomized clinical trial. JAMA Network Open, 5(10), e2236510-e2236510. doi:10.1001/jamanetworkopen.2022.36510

  49. Mitsuhashi, T., Sonoda, M., Firestone, E., Sakakura, K., Jeong, J. W., Luat, A. F., ... & Asano, E. (2022). Temporally and functionally distinct large-scale brain network dynamics supporting task switching. NeuroImage, 254, 119126. doi:10.1016/j.neuroimage.2022.119126

  50. Shahmoradi L, Mohammadian F, Rahmani Katigari M. (2022). A Systematic Review on Serious Games in Attention Rehabilitation and Their Effects. Behavioural Neurology. 2022:2017975. doi: 10.1155/2022/2017975

  51. Wei, J., Hou, J., Mu, T., Sun, J., Li, S., Wu, H., ... & Zhang, T. (2022). Evaluation of Computerized Cognitive Training and Cognitive and Daily Function in Patients Living With HIV: A Meta-analysis. JAMA network open, 5(3), e220970-e220970. doi:10.1001/jamanetworkopen.2022.0970

  52. Yang, L. (2022). Maintained and delayed benefits of executive function training and low-intensity aerobic exercise over a 3.5-year period in older adults. Frontiers in Aging Neuroscience, 14, 653. doi:10.3389/fnagi.2022.905886

  53. Zhai, Y., Doraiswamy, P. M., Woods, C. W., Turner, R. B., Burke, T. W., Ginsburg, G. S., & Hero, A. O. (2022). Pre-exposure cognitive performance variability is associated with severity of respiratory infection. Scientific Reports, 12(1), 22589. doi: 10.1038/s41598-022-26081-6

  54. Allan, J., Thompson, A., Carlyle, M., Thomas, M., & Medalia, A. (2021). Feasibility and pilot efficacy of cognitive remediation for people in residential substance use treatment. Drug and Alcohol Review. doi:10.1111/dar.13288

  55. Barker, L., & Oledzka, A. (2021). Visuospatial Executive Functions are Improved by Brief Brain Training in Young Rugby Players-Evidence of Far Transfer Test Effects: A Pilot Study. OBM Neurobiology, 5(2). doi:10.21926/obm.neurobiol.2102092

  56. Beishon, L., Haunton, V., Subramaniam, H., Mukaetova-Ladinska, E. B., Panerai, R. B., Robinson, T., & Evley, R. (2021). Qualitative analysis of the Cognition and Flow (CoGFlowS) Study: An individualized approach to cognitive training for dementia is needed. Journal of Alzheimer's Disease, 83(1), 209-225.

  57. Beishon, L. C., Panerai, R. B., Budgeon, C., Subramaniam, H., Mukaetova-Ladinska, E., Robinson, T. G., & Haunton, V. J. (2021). The Cognition and Flow Study: A Feasibility Randomized Controlled Trial of the Effects of Cognitive Training on Cerebral Blood Flow. Journal of Alzheimer's Disease, 80(4):1567-1581. doi:10.3233/JAD-201444

  58. Castro Rojas, M. D. (2021). Barriers and supportive factors for older adults learning about and using information and communication technologies for healthy aging in Costa Rica. Educational Gerontology, 1-14. doi:10.1080/03601277.2021.1989228

  59. Cristi-Montero, C., Ibarra-Mora, J., Gaya, A., Castro-Piñero, J., Solis-Urra, P., Aguilar-Farias, N., ... & Sadarangani, K. P. (2021). Could physical fitness be considered as a protective social factor associated with bridging the cognitive gap related to school vulnerability in adolescents? The cogni-action project. International journal of environmental research and public health, 18(19), 10073. doi:10.3390/ijerph181910073

  60. Gooch, M., Mehta, A., John, T., Lomeli, N., Naeem, E., Mucci, G., ... & Torno, L. (2021). Feasibility of Cognitive Training to Promote Recovery in Cancer-Related Cognitive Impairment in Adolescent and Young Adult Patients. Journal of Adolescent and Young Adult Oncology. doi: 10.1089/jayao.2021.0055

  61. Hernández-Jaña, S., Sanchez-Martinez, J., Solis-Urra, P., Esteban-Cornejo, I., Castro-Piñero, J., Sadarangani, K. P., ... & Cristi-Montero, C. (2021). Mediation Role of Physical Fitness and Its Components on the Association Between Distribution-Related Fat Indicators and Adolescents’ Cognitive Performance: Exploring the Influence of School Vulnerability. The Cogni-Action Project. Frontiers in behavioral neuroscience, 210. doi:10.3389/fnbeh.2021.746197

  62. Lawlor-Savage, L., Kusi, M., Clark, C. M., & Goghari, V. M. (2021). No evidence for an effect of a working memory training program on white matter microstructure. Intelligence, 86, 101541. doi:10.1016/j.intell.2021.101541

  63. Moradi, P., Masjedi Arani, A., & Jafari, M. The Effect of Computer Games on Improving Working Memory, Visual Memory, and Control of Executive Functions amongst the Elderly in Tehran. Iranian Journal of Psychiatry and Clinical Psychology, 0-0. doi:10.32598/ijpcp.27.2.3401.1

  64. Ng, N. F., Osman, A. M., Kerlan, K. R., Doraiswamy, P. M., & Schafer, R. J. (2021). Computerized Cognitive Training by Healthy Older and Younger Adults: Age Comparisons of Overall Efficacy and Selective Effects on Cognition. Frontiers in Neurology, 11, 564317. doi:10.3389/fneur.2020.564317

  65. Nguyen, L., Murphy, K., & Andrews, G. (2022). A Game a Day Keeps Cognitive Decline Away? A Systematic Review and Meta-Analysis of Commercially-Available Brain Training Programs in Healthy and Cognitively Impaired Older Adults. Neuropsychology review, 32(3), 601–630. doi:10.1007/s11065-021-09515-2

  66. Solis-Urra, P., Sanchez-Martinez, J., Olivares-Arancibia, J., Castro Piñero, J., Sadarangani, K. P., Ferrari, G., ... & Cristi-Montero, C. (2021). Physical fitness and its association with cognitive performance in Chilean schoolchildren: The Cogni-Action Project. Scandinavian Journal of Medicine & Science in Sports, 31(6), 1352-1362. https://doi.org/10.1111/sms.13945 

  67. Alosco, M.L., Tripodis, Y., Baucom, Z.H., Mez, J., Stein, T.D., Martin, B., ... Stern, R. A. (2020). The Late Contributions of Repetitive Head Impacts and TBI to Depression Symptoms and Cognitions. Neurology. 95(7), e793-e804. doi:10.1212/WNL.0000000000010040

  68. Corti, C., Urgesi, C., Poggi, G., Strazzer, S., Borgatti, R., & Bardoni, A. (2020). Home-based cognitive training in pediatric patients with acquired brain injury: preliminary results on efficacy of a randomized clinical trial. Scientific Reports, 10(1), 1–15. doi:10.1038/s41598-020-57952-5 

  69. Humeidan, M.L., Reyes, J.C., Mavarez-Martinez, A., Roeth, C., Nguyen, C.M., Sheridan, E., ... Bergese, S.D. (2020). Effect of Cognitive Prehabilitation on the Incidence of Postoperative Delirium Among Older Adults Undergoing Major Noncardiac Surgery: The Neurobics Randomized Clinical Trial. JAMA Surg. Published online November 11, 2020. doi:10.1001/jamasurg.2020.4371 

  70. Mewton, L., Hodge, A., Gates, N., Visontay, R., Lees, B., & Teesson, M. (2020). A randomised double-blind trial of cognitive training for the prevention of psychopathology in at-risk youth. Behaviour Research and Therapy, 103672. doi:10.1016/j.brat.2020.103672 

  71. Ng, N. F., Schafer, R. J., Simone, C. M. & Osman, A. M. (2020). Perceptions of brain training: Public expectations of cognitive benefits from popular activities. Frontiers in Human Neuroscience, 14:15. doi:10.3389/fnhum.2020.00015  

  72. O’Gara, B.P., Mueller, A., Gasangwa, D.V.I., Patxot, M., Shaefi, S., Khabbaz, K., ... & Subramaniam, B. (2020). Prevention of early postoperative decline: a randomized, controlled feasibility trial of perioperative cognitive training. Anesthesia & Analgesia, 130(3), 586-595. doi:10.1213/ANE.0000000000004469 

  73. Shaw, M., Pilloni, G., & Charvet, L. (2020). Delivering Transcranial Direct Current Stimulation Away from Clinic: Remotely Supervised tDCS. Military Medicine, 185, 319–325. doi:10.1093/milmed/usz348 

  74. Steyvers, M., Schafer, R.J. (2020). Inferring latent learning factors in large-scale cognitive training data. Nat Hum Behav 4, 1145–1155. doi:10.1038/s41562-020-00935-3

  75. Thomas, K.N., & Bardeen, J.R. (2020). The buffering effect of attentional control on the relationship between cognitive fusion and anxiety. Behaviour Research and Therapy, 132, 103653. doi:10.1016/j.brat.2020.103653 

  76. Towe, S. L., Hartsock, J. T., Xu, Y., & Meade, C. S. (2020). Web-based cognitive training to improve working memory in persons with co-occurring HIV infection and cocaine use disorder: outcomes from a randomized controlled trial. AIDS and Behavior, 25(5), 1542-1551. doi:10.1007/s10461-020-02993-0

  77. Walter, S., Clanton, T. B., Langford, O. G., Rafii, M. S., Shaffer, E. J., Grill, J. D., Jimenez-Maggiora, G. A., Sperling, R. A., Cummings, J. L., & Aisen, P. S. (2020). Recruitment into the Alzheimer Prevention Trials (APT) Webstudy for a Trial-Ready Cohort for Preclinical and Prodromal Alzheimer's Disease (TRC-PAD). The journal of prevention of Alzheimer's disease, 7(4), 219–225. doi: 10.14283/jpad.2020.46

  78. Yang, L., Gallant, S. N., Wilkins, L. K., & Dyson, B. (2020). Cognitive and Psychosocial Outcomes of Self-Guided Executive Function Training and Low-intensity Aerobic Exercise in Healthy Older Adults. Frontiers in Aging Neuroscience, 12, 334. doi: 10.3389/fnagi.2020.576744 

  79. Beishon, L., Evley, R., Panerai, R. B., Subramaniam, H., Mukaetova-Ladinska, E., Robinson, T., & Haunton, V. (2019). Effects of brain training on brain blood flow (The Cognition and Flow Study—CogFlowS): protocol for a feasibility randomised controlled trial of cognitive training in dementia. BMJ open, 9(5), e027817. doi: 10.1136/bmjopen-2018-027817

  80. D'Antonio, J., Simon-Pearson, L., Goldberg, T., Sneed, J. R., Rushia, S., Kerner, N., ... & Devanand, D. (2019). Cognitive training and neuroplasticity in mild cognitive impairment (COG-IT): protocol for a two-site, blinded, randomised, controlled treatment trial. BMJ open, 9(8), e028536. doi: 10.1136/bmjopen-2018-028536

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