1. 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
  2. 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
  3. 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.
  4. 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.
  5. 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
  6. 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.
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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.
  15. 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
  16. 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
  17. 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
  18. 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.
  19. 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.
  20. 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.
  21. 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
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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
  34. 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.
  35. 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
  36. 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.
  37. 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
  38. 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
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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
  50. 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
  51. 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
  52. 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.
  53. 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
  54. 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.
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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.
  60. 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.
  61. 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
  62. 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
  63. 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
  64. 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.
  65. 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.
  66. 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
  67. 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.
  68. 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
  69. 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
  70. 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
  71. 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.
  72. Scanlon, M., Rothstein, J. (2008). Large-scale assessment of cognitive performance and plasticity. Presented at the Cognitive Neuroscience Society Annual Meeting, San Francisco, CA.
  73. 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.
  74. 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.
  75. 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
  76. 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
  77. 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
  78. 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.
  79. 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
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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
  86. 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
  87. 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
  88. 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.
  89. 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.
  90. 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
  91. 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
  92. 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
  93. Torous, J., Staples, P., Fenstermacher, E., Dean, J., & Keshavan, M. (2016). Barriers, benefits, and beliefs of brain training smartphone apps: an internet survey of younger US consumers. Frontiers in human neuroscience, 10, 180. doi:10.3389/fnhum.2016.00180
  94. 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
  95. 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.
  96. 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
  97. 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
  98. 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.
  99. 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
  100. 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
  101. 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
  102. 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.
  103. 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
  104. 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
  105. 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.
  106. 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