Tools for researchers

We’ve supported over 100 researchers from around the world with free access to the Lumosity brain training program, our massive de-identified data set, cognitive assessments, and more.

100+ research partners

75+ peer-reviewed articles

50+ ongoing studies

Data from 7B+ cognitive tasks

About the Human Cognition Project

The Lumos Labs Human Cognition Project (HCP) is a program designed to help qualified researchers accelerate studies and elevate their impact by providing free tools and support.

We support experts across multiple fields studying diverse populations. Our tools have facilitated research in 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 our massive, de-identified data set.

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:

  • Lumosity is based on principles of cognitive training and consists of daily, game-based training sessions. There is a library of 40+ training tasks (games) spanning cognitive domains such as Attention, Memory, and Problem Solving. Training exposes each user to gradually increasing levels of challenges, adapting task difficulty to individual abilities. 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.

  • 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 data sets include over 100 million individuals and more than 7 billion cognitive task completions.

Previous studies using Lumos Labs research tools

  1. 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

  2. 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. doi:10.1212/WNL.0000000000010040

  3. Bailie, J., Westphal, A., Basham, A., Lopez, J., Caswell, M., & Babakhanyan, I. (2021). A-118 Efficacy of Computerized Cognitive Rehabilitation Programs in Treating Warfighters with a History of Mild Traumatic Brain Injury. Archives of Clinical Neuropsychology, 36(6), 1168-1168. doi:10.1093/arclin/acab062.136

  4. Bainbridge, K., Mayer, R.E. (2018). Shining the Light of Research on Lumosity. J Cogn Enhanc 2, 43–62. doi:10.1007/s41465-017-0040-5

  5. Ballard, K., Sternberg, D., Hardy, J., Scanlon, M. (2012). Training-related improvements in cognitive performance persist over time but depend on age; an online study including > 140,000 participants. Presented at the Society for Neuroscience Conference, New Orleans, LA.

  6. Ballard, K., Sternberg, D., Katz, B., Scanlon, M. (2012). Rates of age-related cognitive decline and training improvement depend on task modality. Presented at the Cognitive Neuroscience Society Annual Meeting, Chicago, IL.

  7. Ballesteros, S., Mayas, J., Ruiz-Marquez, E., Prieto, A., Toril, P., Ponce de Leon, L., ... Reales Avilés, J. M. (2017). Effects of Video Game Training on Behavioral and Electrophysiological Measures of Attention and Memory: Protocol for a Randomized Controlled Trial. JMIR Research Protocols, 6(1), e8. doi:10.2196/resprot.6570

  8. Ballesteros, S., Prieto, A., Mayas, J., Toril, P., Pita, C., Ponce de León, L., Reales, J.M., Waterworth, J. (2014). Brain training with non-action video games enhances aspects of cognition in older adults: a randomized controlled trial. Frontiers in Aging Neuroscience. 6:277. doi:10.3389/fnagi.2014.00277

  9. 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

  10. 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

  11. 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

  12. Bell, C. F., Warrick, M. M., Gallagher, K. C., & Baregamian, N. (2018). Neurocognitive performance profile postparathyroidectomy: a pilot study of computerized assessment. Surgery (United States), 163(2), 457–462. doi:10.1016/j.surg.2017.09.001

  13. Ben-Zion, Z., Fine, N.B., Keynan, N.J., Admon, R., Green, N., Halevi, M., ... Shalev, A.Y. (2018). Cognitive flexibility predicts PTSD symptoms: Observational and interventional studies. Frontiers in Psychiatry, 9(OCT), 1–9. doi:10.3389/fpsyt.2018.00477

  14. Bennike, I.H., Wieghorst, A. & Kirk, U. (2017). Online-based Mindfulness Training Reduces Behavioral Markers of Mind Wandering. J Cogn Enhanc 1, 172–181. doi:10.1007/s41465-017-0020-9

  15. 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

  16. Charvet, L., Shaw, M., Dobbs, B., Frontario, A., Sherman, K., Bikson, M., ... Kasschau, M. (2018). Remotely Supervised Transcranial Direct Current Stimulation Increases the Benefit of At-Home Cognitive Training in Multiple Sclerosis. Neuromodulation, 21(4), 383–389. doi:/10.1111/ner.12583

  17. Charvet, L., Shaw, M., Haider, L., Melville, P., & Krupp, L. (2015). Remotely-delivered cognitive remediation in multiple sclerosis (MS): protocol and results from a pilot study. Multiple Sclerosis Journal - Experimental, Translational and Clinical, 1, 205521731560962. doi:10.1177/2055217315609629

  18. Clark, C. M., Lawlor-Savage, L., & Goghari, V. M. (2017). Working memory training in healthy young adults: Support for the null from a randomized comparison to active and passive control groups. PLoS ONE, 12(5), 1–25. doi:10.1371/journal.pone.0177707

  19. Connor, B., Standen, P. (2012). So much technology, so little time: factors affecting use of computer-based cognitive rehabilitation following stroke. Proceedings of the 9th International Conference on Disability, Virtual Reality, and Associated Technologies, P.M. Sharkey, E. Klinger (Eds), 53–59, Laval, France.

  20. Corti, C., Poggi, G., Romaniello, R., Strazzer, S., Urgesi, C., Borgatti, R., & Bardoni, A. (2018). Feasibility of a home-based computerized cognitive training for pediatric patients with congenital or acquired brain damage: An explorative study. PLoS ONE, 13(6), 1–16. doi:10.1371/journal.pone.0199001

  21. 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

  22. 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

  23. D'Antonio, J., Simon-Pearson, L., Goldberg, T., Sneed, J. R., Rushia, S., Kerner, N., et al. (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

  24. Dannhauser, T.M., Cleverley, M., Whitfield, T.J., Fletcher, B.C., Stevens, T., Walker, Z. (2014) A complex multimodal activity intervention to reduce the risk of dementia in mild cognitive impairment–ThinkingFit: pilot and feasibility study for a randomized controlled trial. BMC Psychiatry. 2014 May 5;14(1):129. doi:10.1186/1471-244X-14-129.

  25. Donner, Y., Hardy, J.L. (2015). Piecewise power laws in individual learning curves. Psychomic Bulletin and Review. 1531-5320. doi:10.3758/s13423-015-0811-x.

  26. Finn, M., McDonald, S. (2010). Improvement in Sustained visual attention following Cognitive Training in a sample of older people with Mild Cognitive Impairment. Presented at the Australian Association of Gerontology Conference, Brisbane, Australia.

  27. Fine, N. B., Achituv, M., Etkin, A., Merin, O., & Shalev, A. Y. (2018). Evaluating web-based cognitive-affective remediation in recent trauma survivors: study rationale and protocol. European Journal of Psychotraumatology, 9(1). doi:10.1080/20008198.2018.1442602

  28. Finn, M., McDonald, S. (2011). Computerised cognitive training for older persons with mild cognitive impairment: A pilot study using a randomised controlled trial design. Brain Impairment, 12(3):187–199. doi:10.1375/brim.12.3.187.

  29. Finn, M., McDonald, S. (2012). Two-phase computerised cognitive training: a single case study in an older person with Mild Cognitive Impairment. Presented at the International Psychogeriatric Conference, Cairns, Australia.

  30. Gallant, S.N., Yang, L., Wilkinson, A.J., Wilkins, L., Patel, K. (2014). Practice-related cognitive improvement in older adults: effects of a self-guided video game training pilot study. Presented at the Cognitive Aging Conference, Atlanta, GA.

  31. Geyer, J., Insel, P., Farzin, F., Sternberg, D., Hardy, J.L., Scanlon, M., Mungas, D., Kramer, J., Mackin, R.S., Weiner, M.W. (2015). Evidence for age-associated cognitive decline from internet game scores. Alzheimer’s; Dementia. doi:10.1016/j.dadm.2015.04.002.

  32. Goldin, Y., Cicerone, K.D., Ganci, K., Saldana, D. (2013). Effect of computer-based cognitive training utilization on attention networks efficiency in chronic traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 94(10):47–48. doi:10.1016/j.apmr.2013.08.230

  33. 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

  34. Guerra-Carrillo, B., Katovich, K., & Bunge, S. A. (2017). Does higher education hone cognitive functioning and learning efficacy? Findings from a large and diverse sample. PLoS ONE, 12(8), 1–17. doi:10.1371/journal.pone.0182276

  35. Gyurak, A., Ayduk, O., Gross, J.B. (2010). Training executive functions: emotion regulation and affective consequences. Presented at the Determinants of Executive Function and Dysfunction Conference, Boulder, CO.

  36. Gyurak, A., Gross, J., Etkin, A. (2013). Cognitive-affective remediation training (CART) intervention in anxiety and depression. Presented at the American College of Neuropsychopharmacology Annual Meeting, Hollywood, FL.

  37. Hardy, J., Scanlon, M. (2010). Analysis of cognitive performance in worldwide sample of over 200,000 people reveals new distinctions in age-related cognitive decline. Presented at the Society for Neuroscience Conference, San Diego, CA.

  38. Hardy, J.L., Drescher, D., Sarkar, K., Kellett, G., Scanlon, M. (2011). Enhancing visual attention and working memory with a web-based cognitive training program. Mensa Research Journal, 42(2):13–20.

  39. Hardy, J., Sternberg, D., Katz, B., Ballard, K., Scanlon, M. (2012). Relationships between lifestyle factors and cognitive performance: an online study including >160,000 participants. Presented at the Society for Neuroscience Conference, New Orleans, LA.

  40. Hardy, J.L., Nelson, R.A., Thomason, M.E., Sternberg, D.A., Katovich, K., Farzin, F., Scanlon, M. (2015). Enhancing cognitive abilities with comprehensive training: A large, online, randomized, active-controlled trial. PLoS ONE 10(9): e0134467. doi:10.1371/journal.pone.0134467

  41. 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

  42. Hooker, C.I., Carol, E.E., Eisenstein, T.J., Yin, H., Lincoln, S.H., Tully, L.M., Dodell-Feder, D., Nahum, M., Keshavan, M.S., Seidman, L.J. (2014). A pilot study of cognitive training in clinical high risk for psychosis: Initial evidence of cognitive benefit. Schizophrenia Research, 157(1):314–316. doi:10.1016/j.schres.2014.05.034.

  43. Harris, A. W., Kosic, T., Xu, J., Walker, C., Gye, W., & Redoblado Hodge, A. (2017). Web-Based Cognitive Remediation Improves Supported Employment Outcomes in Severe Mental Illness: Randomized Controlled Trial. JMIR Mental Health, 4(3), e30. doi:10.2196/mental.6982

  44. Hooker, C., Keshavan, M., Seidman, L. (2012). Effects of targeted cognitive training in individuals at clinical high risk [slideshow presentation]. Presented at the International Early Psychosis Meeting. Lecture conducted from San Francisco, CA.

  45. Humeidan, M.L., Otey, A., Zuleta-Alarcon, A., Mavarez-Martinez, A., Stoicea, N., & Bergese, S. (2015). Perioperative Cognitive Protection - Cognitive Exercise and Cognitive Reserve (The Neurobics Trial): A Single-blind Randomized Trial. Clinical Therapeutics, 37(12), 2641–2650. doi:10.1016/j.clinthera.2015.10.013

  46. 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

  47. Ji, T., Hardy, J., Katz, B., Scanlon, M. (2011). Model successfully predicts relative degree of transfer of cognitive training under natural use conditions for a web-based training program. Presented at the Entertainment Software and Cognitive Neurotherapeutics Society Meeting, San Francisco, CA.

  48. Kaluszka, A., Hardy, J.L., Scanlon, M.D. (2013). Optimizing cognitive training task designs to improve learning rates in a large online population. Presented at the Society for Neuroscience Meeting, San Diego, CA.

  49. Katz, B., Shah, P. (2013). Socioeconomic status as a moderator of improvements in executive function following cognitive training in adolescents. Presented at the Determinants of Executive Function and Dysfunction Annual Conference, Boulder, CO.

  50. Katz, B., Ballard, K., Ji, T., Hardy, J. Scanlon, M. (2011). The influence of age, gender, and education on cognitive plasticity in a worldwide sample of 86,000 individuals. Presented at Entertainment Software and Cognitive Neurotherapeutics Society Conference, Los Angeles, CA.

  51. Katz, B., Hardy, J., Scanlon, M. (2011). Dramatic improvements in arithmetic abilities between the ages of 13 and 17 in a worldwide sample of over 440,000 adolescents and young adults playing an online game. Presented at the Learning & the Brain Conference, San Francisco, CA.

  52. Kerlan, K., Farzin, F., Sternberg, D.A., Katovich, K., Simone, C., Ng, N.F., Kaluszka, A., Hardy, J.L., Scanlon, M. (2014). Human cognition research on a large scale: The Human Cognition Project. Presented at the Society for Neuroscience Conference, Washington, DC.

  53. Kesler, S.R., Sheau, K., Koovakkattu, D., Reiss, A.L. (2011). Changes in frontal-parietal activation and math skills performance following adaptive number sense training: preliminary results from a pilot study. Neuropsychological Rehabilitation, 21(4):433–454. doi:10.1080/09602011.2011.578446.

  54. Kesler, S., Hadi Hosseini, S.M., Heckler, C., Janelsins, M., Palesh, O., Mustian, K., Morrow, G. (2013). Cognitive training for improving executive function in chemotherapy-treated breast cancer survivors. Clinical Breast Cancer, 13(4), 299–306. doi:10.1016/j.clbc.2013.02.004.

  55. Kesler, S., Lacayo, N., Booil, J. (2011). A pilot study of an online cognitive rehabilitation program for executive function skills in children with cancer-related brain injury. Brain Injury, 24(1):101-112. doi:10.3109/02699052.2010.536194.

  56. Kesler, S.R., Hadi Hosseini, S.M., Cheung, M., Pritchard-Berman, M. (2013). Influence of executive function training on prefrontal functional networks in healthy adults. Poster presented at the Society for Neuroscience satellite symposium 'The Networked Brain', San Diego, CA.

  57. Koorenhof, L., Baxendale, S., Smith, N., & Thompson, P. (2012). Memory rehabilitation and brain training for surgical temporal lobe epilepsy patients: a preliminary report. Seizure, 21(3), 178-182. doi:10.1016/j.seizure.2011.12.001

  58. La Nauze, A., & Severnini, E. R. (2021). Air Pollution and Adult Cognition: Evidence from Brain Training (No. w28785). National Bureau of Economic Research.

  59. Lassonde, K. A., & Osborn, R. M. (2019). Lumosity does not best classroom memory improvement strategies. Scholarship of Teaching and Learning in Psychology, 5(1), 1. doi:10.1037/stl0000125

  60. Lathan, C., Wallace, A.S., Shewbridge, R., Ng, N., Morrison, G., & Resnick, H.E. (2016). Cognitive Health Assessment and Establishment of a Virtual Cohort of Dementia Caregivers. Dementia and Geriatric Cognitive Disorders Extra, 6(1), 98–107. doi:10.1159/000444390

  61. Lawlor-Savage, L.G., Goghari, V.M. (2013). Can a 15 minute online game replace a Wechsler test of intelligence? Poster presented at the Canadian Society for Brain, Behaviour and Cognitive Science 23rd Annual Meeting, Calgary, Alberta.

  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. Lim, D., Condon, P., & DeSteno, D. (2015). Mindfulness and compassion: an examination of mechanism and scalability. PloS one, 10(2), e0118221. doi:10.1371/journal.pone.0118221

  64. Mayas, J., Parmentier, F.B.R., Andres, P., Ballesteros, S. (2014). Plasticity of attentional functions in older adults after non-action video game training: a randomized, controlled trial. PLoS ONE, 9(3):e92269. doi:10.1371/journal.pone.0092269.

  65. McAdams-DeMarco, M.A., Konel, J., Warsame, F., Ying, H., Fernández, M. G., Carlson, M. C., ... Segev, D. L. (2018). Intradialytic Cognitive and Exercise Training May Preserve Cognitive Function. Kidney International Reports, 3(1), 81–88. doi:10.1016/j.ekir.2017.08.006

  66. 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

  67. 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

  68. Morrison, G.E., Simone, C.M., Ng, N.F., Hardy, J.L. (2015). Reliability and validity of the NeuroCognitive Performance Test, a web-based neuropsychological assessment. Frontiers in Psychology, 6:1652. doi:10.3389/fpsyg.2015.01652

  69. 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.

  70. 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

  71. Ng, N.F., Katovich, K., Kaluszka, A., Hardy, J.L., Scanlon, M. (2014). Optimizing cognitive task designs to improve learning rates in a large online population. Presented at the Society for Neuroscience Conference, Washington, DC.

  72. Ng, N.F., Sternberg, D.A., Katz, B., Hardy, J.L., Scanlon, M.D. (2013). Improving cognitive performance in school-aged children: A large-scale, multi-site implementation of a web-based cognitive training program in academic settings. Presented at the Society for Neuroscience Meeting, San Diego, CA.

  73. O’Connor, P.J., Tomporowski, P.D., & Dishman, R.K. (2015). Age Moderates the Association of Aerobic Exercise with Initial Learning of an Online Task Requiring Cognitive Control. Journal of the International Neuropsychological Society, 21(10), 802–815. doi:10.1017/S1355617715000685

  74. O’Gara, B., Marcantonio, E. R., Pascual-Leone, A., Shaefi, S., Mueller, A., Banner-Goodspeed, V., Talmor, D., & Subramaniam, B. (2018). Prevention of Early Postoperative Decline (PEaPoD): Protocol for a randomized, controlled feasibility trial. Trials, 19(1), 1–8. doi:10.1186/s13063-018-3063-z

  75. 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

  76. Olfers, K.J.F., Band, G. (2015). Game-based training of mental flexibility: ERPs suggest a forward shift of control during task switching. Presented at the Entertainment Software and Cognitive Neurotherapeutics Society Meeting, San Francisco, CA.

  77. Rattray, B., Smee, D. (2013). Exercise improves reaction time without compromising accuracy in a novel easy-to-administer tablet-based cognitive task. Journal of Science and Medicine in Sport, 16(6):567–570. doi:10.1016/j.jsams.2012.12.007.

  78. Rattray, B., & Smee, D.J. (2016). The effect of high and low exercise intensity periods on a simple memory recognition test. Journal of Sport and Health Science, 5(3), 342–348. doi:10.1016/j.jshs.2015.01.005

  79. Rhodes, R., Katz, B. (2014). Effects of spacing and individual differences on learning a working memory task. Presented at the Association for Psychological Science Annual Convention, San Francisco, CA.

  80. Richards, A., Inslicht, S. S., Metzler, T. J., Mohlenhoff, B. S., Rao, M. N., O’Donovan, A., & Neylan, T. C. (2017). Sleep and cognitive performance from teens to old age: More is not better. Sleep, 40(1). doi:10.1093/sleep/zsw029

  81. Richards, A., Kanady, J.C., Huie, J.R., Straus, L.D., Inslicht, S. S., Levihn-Coon, A., ... Neylan, T.C. (2019). Work by day and sleep by night, do not sleep too little or too much: Effects of sleep duration, time of day and circadian synchrony on flanker-task performance in internet brain-game users from teens to advanced age. Journal of Sleep Research, April, 1–11. doi:10.1111/jsr.12919

  82. Ruiz-Marquez, E., Prieto, A., Mayas, J., Toril, P., Reales, J.M., & Ballesteros, S. (2019). Effects of Nonaction Videogames on Attention and Memory in Young Adults. Games for Health Journal, 8(6), 414–422. doi:10.1089/g4h.2019.0004

  83. Rutherford, T., Lee, D.S., Schenke, K., Chang, A., Tran, C., Young, N.S., Conley, A.M., Martinez, M.E. (2013). Brain Boost: Randomized trial of a program to enhance intelligence in elementary and middle school. Poster presented at the American Educational Research Association, San Francisco, CA.

  84. Scanlon, M., Rothstein, J. (2008). Large-scale assessment of cognitive performance and plasticity. Presented at the Cognitive Neuroscience Society Annual Meeting, San Francisco, CA.

  85. Schneider, S., Abeln, V., Popova, J., Fomina, E., Jacubowski, A., Meeusen, R., Struder, H.K. (2013). The influence of exercise on prefrontal cortex activity and cognitive performance during a simulated space flight to Mars (MARS500). Behavioural Brain Research, 236(1):1–7. doi:10.1016/j.bbr.2012.08.022.

  86. Schofield, H., Kopsic, J., Loewenstein, G., Volpp, K. (2012). Comparing individual vs. social incentives: motivating completion of cognitive exercises. Presented at the Fourth Biennial Conference of the American Society of Health Economists. Lecture conducted from Minneapolis, MN.

  87. Schofield, H., Loewenstein, george, Kopsic, J., & Volpp, K.G. (2016). Comparing the effectiveness of individualistic, altruistic, and competitive incentives in motivating completion of mental exercises. Physiology & Behavior, 176(1), 139–148. doi:10.1016/j.jhealeco.2015.09.007

  88. 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

  89. Shute, V.J., Ventura, M., & Ke, F. (2015). The power of play: The effects of Portal 2 and Lumosity on cognitive and noncognitive skills. Computers & education, 80, 58-67. doi:10.1016/j.compedu.2014.08.013

  90. Simone, C., Ng, N.F., Farzin, F., Hardy, J.L., Scanlon, M.D. (2014). Performance on an online neuropsychological assessment is correlated with performance on standardized academic tests in middle school students. Presented at the Society for Neuroscience Conference, Washington, DC.

  91. Solis-Urra, P., Olivares-Arancibia, J., Suarez-Cadenas, E., Sanchez-Martinez, J., Rodriguez-Rodriguez, F., Ortega, F. B., ... & Chabert, S. (2019). Study protocol and rationale of the “Cogni-action project” a cross-sectional and randomized controlled trial about physical activity, brain health, cognition, and educational achievement in schoolchildren. BMC pediatrics, 19(1), 260. doi:10.1186/s12887-019-1639-8

  92. 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. doi:10.1111/sms.13945 

  93. Sternberg, D., Hardy, J., Katz, B., Ballard, K., Scanlon, M. (2012). The Brain Performance Test: Preliminary findings of transfer from cognitive training to a repeatable, dynamically generated assessment. Presented at the Society for Neuroscience Conference, New Orleans, LA.

  94. Sternberg, D.A., Ballard, K., Hardy, J.L., Katz, B., Doraiswamy, P.M., Scanlon, M. (2013). The largest human cognitive performance dataset reveals insights into the effects of lifestyle factors and aging. Frontiers in Human Neuroscience, 7:292. doi:10.3389/fnhum.2013.00292.

  95. Sternberg, D.A., Hardy, J.L., Scanlon, M. (2013). Cognitive performance peaks at different times of day depending on the task; A study of over 80,000 Americans. Presented at the Entertainment Software and Cognitive Neurotherapeutics Society Meeting, San Francisco, CA.

  96. Sternberg, D.A., Hardy, J.L., Ballard, K., Scanlon, M.D. (2013). Measuring training-related changes in cognitive performance with a repeatable online assessment battery. Presented at the Society for Neuroscience Meeting, San Diego, CA.

  97. Sternberg, D.A., Katovich, K., Ballard, K., Hardy, J.L., Scanlon, M. (2014). Estimating sleep, mood and time of day effects in a large database of human cognitive performance. Presented at the Society for Neuroscience Conference, Washington DC.

  98. Steyvers, M., & Benjamin, A. S. (2019). The joint contribution of participation and performance to learning functions: Exploring the effects of age in large-scale data sets. Behavior Research Methods, 51(4), 1531–1543. doi:10.3758/s13428-018-1128-2

  99. Steyvers, M., Hawkins, G.E., Karayanidis, F., & Brown, S.D. (2019). A large-scale analysis of task switching practice effects across the lifespan. Proceedings of the National Academy of Sciences, 116(36), 17735-17740. doi:10.1073/pnas.1906788116

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

  101. Tartaglione, E.V., Derleth, M., Yu, L., Ioannou, G.N. (2013). Can computerized brain-training games be used to identify early cognitive impairment in cirrhosis? Presented at the American Association for the Study of Liver Diseases Meeting, Washington, DC.

  102. Tartaglione, E.V., Derleth, M., Yu, L., Ioannou, G.N. (2014). Can computerized brain training games be used to identify early cognitive impairment in cirrhosis? American Journal of Gastroenterology, 109(3):316–323. doi:10.1038/ajg.2013.306.

  103. 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

  104. Thompson, P.J., Conn, H., Baxendale, S.A., Donnachie, E., McGrath, K., Geraldi, C., & Duncan, J. S. (2016). Optimizing memory function in temporal lobe epilepsy. Seizure, 38, 68-74 doi:10.1016/j.seizure.2016.04.008

  105. Toril, P., Reales, J.M., Mayas, J., & Ballesteros, S. (2016). Video game training enhances visuospatial working memory and episodic memory in older adults. Frontiers in human neuroscience, 10, 206. doi:10.3389/fnhum.2016.00206

  106. Towe, S.L., Hartsock, J.T., Xu, Y. et al. (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 Behav. doi:10.1007/s10461-020-02993-0

  107. Wallace, A.S., Russo, C.R., Shewbridge, R., Morrison, G., Ng, N., Doraiswamy, M., Lathan, C. (2015). Web based assessment of caregiver brain healthy: A pilot controlled trial of 527 subjects. Presented at the Alzheimer's Association International Conference, Washington, DC.

  108. Walter, S., Clanton, T. B., Langford, O. G., Rafii, M. S., Shaffer, E. J., Grill, J. D., ... & 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

  109. Weiner, M. W., Nosheny, R., Camacho, M., Truran‐Sacrey, D., Mackin, R. S., Flenniken, D., ... & Veitch, D. (2018). The Brain Health Registry: an internet‐based platform for recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies. Alzheimer's & Dementia, 14(8), 1063-1076. doi:10.1016/j.jalz.2018.02.021

  110. Wentink, M., Berger, M., Vliet Vlieland, T., Meesters, J., Ter Steeg, A., Goossens, G., Band, G., de Kloet, A. (2014). The feasibility of a brain game intervention on cognitive recovery after stroke. Presented at the IBIA World Congress on Brain Injury, San Francisco, CA.

  111. Wentink, M.M., Berger, M.A.M., de Kloet, A.J., Meesters, J., Band, G.P.H., Wolterbeek, R., ... & Vliet Vlieland, T.P.M. (2016). The effects of an 8-week computer-based brain training programme on cognitive functioning, QoL and self-efficacy after stroke. Neuropsychological rehabilitation, 26(5-6), 847-865. doi:10.1080/09602011.2016.1162175

  112. Westphal, A., Bailie, J., Caswell, M., Lopez, J., Basham, A., & Babakhanyan, I. (2021). A-140 Computer Based Cognitive Rehabilitation Interventions for Visual Attention Following Mild Traumatic Brain Injury. Archives of Clinical Neuropsychology, 36(6), 1193-1193. doi:10.1093/arclin/acab062.158

  113. Withiel, T.D., Sharp, V.L., Wong, D., Ponsford, J.L., Warren, N., & Stolwyk, R. J. (2020). Understanding the experience of compensatory and restorative memory rehabilitation: A qualitative study of stroke survivors. Neuropsychological Rehabilitation, 30(3), 503–522. doi:10.1080/09602011.2018.1479275

  114. Withiel, T.D., Wong, D., Ponsford, J.L., Cadilhac, D.A., & Stolwyk, R. J. (2020). Feasibility and effectiveness of computerised cognitive training for memory dysfunction following stroke: A series of single case studies. Neuropsychological Rehabilitation, 30(5), 829–852. doi:10.1080/09602011.2018.1503083

  115. Woo, Y.J., Hemati, P., Kirschen, J., Nebel, R., Wang, T., Abrahams, B. (2015). Online assessment of 15q11.2 deletion carriers reveals domain specific cognitive impairment. Presented at Neurogaming 2015 Conference and Expo, San Francisco, CA.

  116. Woo, Y.J., Kanellopoulos, A.K., Hemati, P., Kirschen, J., Nebel, R. A., Wang, T., ... Abrahams, B.S. (2019). Domain-Specific Cognitive Impairments in Humans and Flies With Reduced CYFIP1 Dosage. Biological Psychiatry, 86(4), 306–314. doi:10.1016/j.biopsych.2019.04.008

  117. Wyatt, L. H., Cleland, S. E., Wei, L., Patil, A. K., Paul, N., Group, L. T., ... & Rappold, A. G. (2021, August). Long-term ambient PM2. 5 and O3 reduced cognitive function in young adults as measured through the Lumosity brain training platform. In ISEE Conference Abstracts (Vol. 2021, No. 1).

  118. 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

  119. Yin, H., Carol, E., Dodell-Feder, D., Lincoln, S.H., Tully, L.M., Keshavan, M., Seidman, L.J., Nahum, M., Hooker, C.I. (2014). Effect of targeted cognitive training on facial emotion processing in individuals at high risk for psychosis. Presented at the Cognitive Neuroscience Society Annual Meeting, Boston, MA.

  120. Zickefoose, S., Hux, K., Brown, J., & Wulf, K. (2013). Let the games begin: A preliminary study using Attention Process Training-3 and Lumosity™ brain games to remediate attention deficits following traumatic brain injury. Brain injury, 27(6), 707-716. doi:10.3109/02699052.2013.775484