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If you are a researcher who would like to use BrainHQ in a study, please email us and we will direct you to Posit Science research team.
For your reference, below is a list (organized by subject population) of completed studies in which one or more BrainHQ exercises were used as an intervention.
ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)
Mishra J, Sagar R et al. Training sensory signal-to-noise resolution in children with ADHD in a global mental health setting. Translational Psychiatry. 2016 Apr;6:e781.
View article- Mishra J, Merzenich M, Sagar R. Accessible online neuroplasticity-targeted training for children with ADHD. Child and Adolescent Psychiatry and Mental Health. 2013 Nov 14;7:38.
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AUTISM SPECTRUM DISORDER
- Tseng, Angela, Megan DuBois, Bruno Biagianti, Caroline Brumley, and Suma Jacob. 2023. “Auditory Domain Sensitivity and Neuroplasticity-Based Targeted Cognitive Training in Autism Spectrum Disorder.” Journal of Clinical Medicine 12 (4): 1635.
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BI-POLAR DISORDER
- Lewandowski, Kathryn E., Sarah H. Sperry, Bruce M. Cohen, Lesley A. Norris, Garrett M. Fitzmaurice, Dost Ongur, and Matcheri S. Keshavan. 2017. “Treatment to Enhance Cognition in Bipolar Disorder (TREC-BD): Efficacy of a Randomized Controlled Trial of Cognitive Remediation versus Active Control.” The Journal of Clinical Psychiatry 78 (9): 1242–49.
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CANCER-RELATED COGNITIVE IMPAIRMENT
- Von Ah, Diane, Brenna C. McDonald, Adele D. Crouch, Susan Ofner, Susan Perkins, Susan Storey, Robert Considine, and Fred Unverzagt. 2022. “Randomized Double-Masked Controlled Trial of Cognitive Training in Breast Cancer Survivors: A Preliminary Study.” Supportive Care in Cancer, June.
View article - Meneses, Karen, Rachel Benz, Jennifer R. Bail, Jacqueline B. Vo, Kristen Triebel, Pariya Fazeli, Jennifer Frank, and David E. Vance. 2018. “Speed of Processing Training in Middle-Aged and Older Breast Cancer Survivors (SOAR): Results of a Randomized Controlled Pilot.” Breast Cancer Research and Treatment 168 (1): 259–67.
View article - Bray, Victoria J., Haryana M. Dhillon, Melanie L. Bell, Michael Kabourakis, Mallorie H. Fiero, Desmond Yip, Frances Boyle, Melanie A. Price, and Janette L. Vardy. 2017. “Evaluation of a Web-Based Cognitive Rehabilitation Program in Cancer Survivors Reporting Cognitive Symptoms after Chemotherapy.” Journal of Clinical Oncology 35 (2): 217–25.
View article - Von Ah, Diane, Janet S. Carpenter, Andrew Saykin, Patrick Monahan, Jingwei Wu, Menggang Yu, George Rebok, et al. 2012. “Advanced Cognitive Training for Breast Cancer Survivors: A Randomized Controlled Trial.” Breast Cancer Research and Treatment 135 (3): 799–809.
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Dementia
- Toups, Kat, Ann Hathaway, Deborah Gordon, Henrianna Chung, Cyrus Raji, Alan Boyd, Benjamin D. Hill, et al. 2022. “Precision Medicine Approach to Alzheimer’s Disease: Successful Pilot Project.” Journal of Alzheimer’s Disease 88 (January): 1411–21.
View article - Rouse, Hillary J., Brent J. Small, and Mark E. Faust. 2019. “Assessment of Cognitive Training & Social Interaction in People with Mild to Moderate Dementia: A Pilot Study.” Clinical Gerontologist 42 (4): 421–34.
View article - Edwards, Jerri D., Huiping Xu, Daniel O. Clark, Lin T. Guey, Lesley A. Ross, and Frederick W. Unverzagt. 2017. “Speed of Processing Training Results in Lower Risk of Dementia.” Alzheimer’s & Dementia: Translational Research & Clinical Interventions 3 (4): 603–611.
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DEPRESSION
- Hagen, Bjørn Ingulfsvann, Nils Inge Landrø, Bjørn Lau, Ernst H. W. Koster, and Jan Stubberud. 2020. “Predictors of Long-Term Improvement Following Cognitive Remediation in a Sample with Elevated Depressive Symptoms.” Frontiers in Psychology 11.
View article - Hagen, Bjørn Ingulfsvann, Bjørn Lau, Jutta Joormann, Milada Cvancarova Småstuen, Nils Inge Landrø, and Jan Stubberud. 2020. “Goal Management Training as a Cognitive Remediation Intervention in Depression: A Randomized Controlled Trial.” Journal of Affective Disorders 275 (October): 268–77.
View article - Morimoto, Sarah Shizuko, Roger Alan Altizer, Faith M. Gunning, Willie Hu, Jiacheng Liu, Sarah E. Cote, Juliana Nitis, and George S. Alexopoulos. 2020. “Targeting Cognitive Control Deficits with Neuroplasticity-Based Computerized Cognitive Remediation in Patients with Geriatric Major Depression: A Randomized, Double-Blind, Controlled Trial.” The American Journal of Geriatric Psychiatry 28 (9): 971–80.
View article - Mao, Ronghua, Changxiang Chen, Dan Li, Shuxing Li, and Min Zhang. 2015. “Intervention Effect of BrainHQ Visual Training on Depressive Symptom in Patients with Post Stroke Depression.” Chinese Journal of Behavioral Medical Science 24 (12): 1097–99.
View article - Wolinsky, Fredric D., Mark W. Vander Weg, M. Bryant Howren, Michael P. Jones, and Megan M. Dotson. 2015. “The Effect of Cognitive Speed of Processing Training on the Development of Additional IADL Difficulties and the Reduction of Depressive Symptoms Results from the IHAMS Randomized Controlled Trial.” Journal of Aging and Health 27 (2): 334–54.
View article - Morimoto, Sarah Shizuko, Bruce E. Wexler, Jiacheng Liu, Willie Hu, Joanna Seirup, and George S. Alexopoulos. 2014. “Neuroplasticity-Based Computerized Cognitive Remediation for Treatment-Resistant Geriatric Depression.” Nature Communications 5 (4579): 1–7.
View article - Wolinsky, F D, H W Mahncke, M W Vander Weg, R Martin, F W Unverzagt, K K Ball, R N Jones, and S L Tennstedt. 2009. “The ACTIVE Cognitive Training Interventions and the Onset of and Recovery from Suspected Clinical Depression.” The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences 64 (5): 577–85.
View article - Wolinsky, F. D., M. W. Vander Weg, R Martin, F. W. Unverzagt, K. K. Ball, R. N. Jones, and S. L. Tennstedt. 2009. “The Effect of Speed-of-Processing Training on Depressive Symptoms in ACTIVE.” The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 64 (4): 468–72.
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DIABETES
- Natovich, Rachel, Noa Gayus, Michal Azmon, Hila Michal, Omri Gury Twito, Tomer Yair, Svetlana Raudoi, Ori Kapra, and Tali Cukierman-Yaffe. 2020. “A Comprehensive Intervention for Promoting Successful Aging amongst Older People with Diabetes with Below-Normal Cognitive Function—a Feasibility Study.” Frontiers in Endocrinology 11.
View article - Cuevas, Heather E., Alexa K. Stuifbergen, Sharon A. Brown, and Catherine Ward. 2019. “A Nurse-Led Cognitive Training Intervention for Individuals With Type 2 Diabetes.” Research in Gerontological Nursing 12 (4): 203–12.
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HEALTHY ADULTS/HEALTHY AGING
- Anderson S, White-Schwoch T, Choi HJ, Kraus N. Training changes processing of speech cues in older adults with hearing loss. Frontiers in Systems Neuroscience. 2013 Nov 28;7:97.
View article - Anderson S, White-Schwoch T, Choi HJ, Kraus N. Partial maintenance of auditory-based cognitive training benefits in older adults. Neuropsychologia. 214 Sep;62:286-96.
View article - Anderson S, White-Schwoch T, Parbery-Clark A, Kraus N. Reversal of age-related neural timing delays with training. Proceedings of the National Academy of Sciences. 2013 Mar 12;110(11): 357-62.
View article - Ball, KK, Beard BL et al. Age and visual search: Expanding the useful field of view. Journal of the Optical Society of America A. 1988 Dec;5(12):2210-9.
View article - Ball, KK, Berch DB et al. Effects of cognitive training interventions with older adults: A randomized controlled trial. Journal of the American Medical Association. 2002 Nov 13;288(18):2271-81.
View article - Ball KK, Edwards JD, Ross LA. The impact of speed of processing training on cognitive and everyday functions. Journals of Gerontology B. 2007 Jun;62 Spec No 1:19-31.
View article - Ball KK, Edwards JD et al. Cognitive training decreases motor vehicle collision involvement of older drivers. Journal of the American Geriatrics Society. 2010 Nov;58(11):2107-13.
View article - Ball KK, Owsley C. The useful field of view test: A new technique for evaluating age-related declines in visual function. Journal of the American Optometric Association. 1993 Jan;64(1):71-9.
View article - Ball KK, Owsley C et al. Visual attention problems as a predictor of vehicle crashes in older drivers. Investigative Ophthalmology & Visual Science. 1993 Oct;34(11):3110-23.
View article - Ball KK, Roenker DL et al. Can high-risk older drivers be identified through performance-based measures in a Department of Motor Vehicles setting? Journal of the American Geriatrics Society. 2006 Jan;54(1):77-84.
View article - Ball KK, Ross LA, Roth DL, Edwards JD. Speed of processing training in the ACTIVE study: How much is needed and who benefits? Journal of Aging and Health. 2013 Dec;25(8 Suppl):65S-84S.
View article - Bamidis PD, Fissler P, Papageorgiou SG, et al. Gains in cognition through combined cognitive and physical training: the role of training dosage and severity of neurocognitive disorder. Front Aging Neurosci. 2015;7. doi:10.3389/fnagi.2015.00152.
View article - Belchior P, Marsiske M et al. Video game training to improve selective visual attention in older adults. Computers in Human Behavior. 2013 Jul1;29(4):1318-1324.
View article - Berry AS, Zanto TP et al. The influence of perceptual training on working memory in older adults. PLoS One. 2010 Jul 14;5(7):e11537.
View article - Broman AT, West SK et al. Divided visual attention as a predictor of bumping while walking: The Salisbury Eye Evaluation. Investigative Ophthalmology & Visual Science. 2004 Sep;45(9):2955-60.
View article - Clark DO, Xu H, Unverzagt FW, Hendrie H. Does targeted cognitive training reduce educational disparities in cognitive function among cognitively normal older adults? Int J Geriatr Psychiatry. January 2015
View article - Clay OJ, Wadley VG et al. Cumulative meta-analysis of the relationship between useful field of view and driving performance in older adults: Current and future implications. Optometry and Vision Science. 2005 Aug;82(8):724-31.
View article - Edwards JD, Delahunt PB, Mahncke HW. Cognitive speed of processing delays driving cessation. Journals of Gerontology A. 2009 Dec;64(12):1262-7.
View article - Edwards JD, Myers C et al. The longitudinal impact of cognitive speed of processing training on driving mobility. The Gerontologist. 2009 Aug;49(4):485-94.
View article - Edwards JD, Wadley VG et al. Transfer of a speed of processing intervention to near and far cognitive functions. Gerontology. 2002 Sep-Oct;48(5):329-40.
View article - Edwards JD, Wadley VG et al. The impact of speed of processing training on cognitive and everyday performance. Aging and Mental Health. 2005 May;9(3):262-271.
View article - Elliott AF, O’Connor ML, Edwards JD. Cognitive speed of processing training in older adults with visual impairments. Ophthalmic & Physiological Optics. 2014 Sep;34(5):509-18.
View article - Frantzidis CA, Ladas AK et al. Cognitive and physical training for the elderly: Evaluating outcome efficacy by means of neurophysiological synchronization. International Journal of Psychophysiology. 2014 Jul;93(1):1-11.
View article - Goode KT, Ball KK et al. Useful field of view and other neurocognitive indicators of crash risk in older adults. Journal of Clinical Psychology in Medical Settings. 1998 Dec;5(4):425-40.
View article - Jobe JB, Smith DM et al. ACTIVE: A cognitive intervention trial to promote independence in older adults. Controlled Clinical Trials 2001;22:453-79.
View article - Kelly ME, Loughrey D et al. The impact of cognitive training and mental stimulation on cognitive and everyday functioning of healthy older adults: A systematic review and meta-analysis. Ageing Research Reviews. 2014 May;15:28-43.
View article - Kraus N. Biological impact of music and software-based auditory training. Journal of Communication Disorders. 2012 Nov;45(6):403-410.
View article - Kraus N, Anderson S. In older adults, the brain can still be trained to hear in noise. The Hearing Journal. 2013 May;66(5):32.
View article - Kraus N, Anderson S. Better speech processing in smaller amplitudes. The Hearing Journal. 2014 Mar;67(3):48.
View article - Kueider AM, Parisi JM, Gross AL, Rebok GW. Computerized cognitive training with older adults: A systematic review. PLoS One. 2012 Jul 11;7(7):e40588.
View article - Leung NTY, Tam HMK et al. Neural plastic effects of cognitive training on aging brain. Neural Plasticity. Article ID 535618, in press.
View article - Mahncke HW, Bronstone A, Merzenich MM. Brain plasticity and functional losses in the aged: Scientific bases for a novel intervention. Progress in Brain Research. 2006;157:81-109.
View article - Mahncke HW, Connor BB et al. Memory enhancement in healthy older adults using a brain plasticity-based training program: A randomized, controlled study. Proceedings of the National Academy of Sciences. 2006 Aug 15;103(33):12523-8.
View article - Merzenich MM, Van Vleet TM, Nahum M. Brain plasticity-based therapeutics. Frontiers in Human Neuroscience. 2014 Jun 27;8:385.
View article - Mishra J, Rolle C, Gazzaley A. Neural plasticity underlying visual perceptual learning in aging. Brain Research. 2014 Sep 8. Epub ahead of print.
View v - Mishra J, Gazzaley A. Cross-species approaches to cognitive neuroplasticity research. NeuroImage. 2016. doi:10.1016/j.neuroimage.2015.09.002.
View article - O’Brien JL, Edward JD et al. Cognitive training and selective attention in the aging brain: An electrophysiological study. Clinical Neurophysiology. 2013 Nov;124(11):2198-208.
View article - O’Connor ML, Hudak EM, Edwards JD. Cognitive speed of processing training can promote community mobility among older adults: A brief review. Journal of Aging Research. 2011;2011:430802.
View article - Owsley C, Ball KK et al. Visual/cognitive correlates of vehicle accidents in older drivers. Psychology and Aging. 1991;6(3):403-15.
View article - Owsley C, Ball KK et al. Visual processing impairment and risk of motor vehicle crash among older adults. Journal of the American Medical Association. 1998 Apr 8; 279(14): 1083-8.
View article - Owsley C, McGwin Jr G, Ball KK. Vision impairment, eye disease, and injurious motor vehicle crashes in the elderly. Ophthalmic Epidemiology. 1998;5(2):101-13.
View article - Owsley C, McGwin Jr G. Association between visual attention and mobility in older adults. Journal of the American Geriatrics Society. 2004;52:1901-6.
View article - Pietras TA, Shi Q, Lee JD, Rizzo M. Traffic-entry behavior and crash risk for older drivers with impairment of selective attention. Perceptual and Motor Skills. 2006;102:632-44.
View article - Rebok GW, Ball KK et al. Ten-year effects of the Advanced Cognitive Training for Independent and Vital Elderly cognitive training trial on cognition and everyday functioning in older adults. Journal of the American Geriatrics Society. 2014 Jan;62(1):16-24.
View article - Roenker DL, Cissell GM et al. Speed-of-processing and driving simulator training result in improved driving performance. Human Factors. 2003 Summer;45(2):218-33.
View article - Ross L, Vance D et al. Translating laboratory measures to real-world outcomes: Application of the UFOV test in an insurance company setting. Proceedings of the Sixth International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design. 2011:270-276.
View article - Ross LA, Edwards JD, O’Connor ML, Ball KK, Wadley VG, Vance DE. The transfer of cognitive speed of processing training to older adults’ driving mobility across 5 years. J Gerontol B Psychol Sci Soc Sci. 2016;71(1):87-97
View article - Rubin GS, Ng ESW et al. A prospective, population-based study of the role of visual impairment in motor vehicle crashes among older drivers: The SEE study. Investigative Ophthalmology & Visual Science. 2007 Apr;48(4):1483-91.
View article - Scalf PE, Colcombe SJ et al. The neural correlates of an expanded functional field of view. Journals of Gerontology B. 2007 Jun;62 Spec No 1:32-44.
View article - Sekuler AB, Bennett PJ, Mamelak M. Effects of aging on the useful field of view. Experimental Aging Research. 2000;26:103-20.
View article - Shah T, Verdile G et al. A combination of physical activity and computerized brain training improves verbal memory and increases cerebral glucose metabolism in the elderly. Translational Psychiatry. 2014 Dec 2;4:e487.
View article - Sims RV, McGwin Jr G et al. Exploratory study of incident vehicle crashes among older drivers. Journal of Gerontology Series A. 2000 Jan;55(1):M22-7.
View article - Sims RV, Owsley C et al. A preliminary assessment of the medical and functional factors associated with vehicle crashes by older adults. Journal of the American Geriatrics Society. 1998 May;46(5):556-61.
View article - Smith GE, Housen P et al. A cognitive training program based on principles of brain plasticity: Results from the Improvement in Memory with Plasticity-based Adaptive Cognitive Training (IMPACT) Study. Journal of the American Geriatrics Society. 2009 Apr;57(4):594-603.
View article - Smith-Ray RL, Hughes SL et al. Impact of cognitive training on balance and gait in older adults. Journals of Gerontology B. 2013 Nov 5. Epub ahead of print.
View article - Smith-Ray RL, Makowski-Woidan B, Hughes SL. A randomized trial to measure the impact of a community-based cognitive training intervention on balance and gait in cognitively intact black older adults. Health Education & Behavior. 2014 Oct;41 (1 Suppl):62S-9S.
View article - Staplin L, Gish KW, Wagner EK. MaryPODS revisited: Updated crash analysis and implications for screening program implementation. Journal of Safety Research. 2003;34:389-97.
View article - Strenziok M, Parasuraman R et al. Neurocognitive enhancement in older adults: Comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity. NeuroImage. 2014 Jan 15;85 Pt 3:1027-39.
View article - Van Vleet TM, Hoang-duc AK, DeGutis J, Robertson LC. Modulation of non-spatial attention and the global/local processing bias. Neuropsychologia. 2011 Feb;49(3):352-359.
View article - Vance DE. The emerging role of cognitive remediation therapy. Activities, Adaptation & Aging. 2009; 33(1): 17-30.
View article - Vance DE. Speed of processing in older adults: A cognitive overview for nursing. Journal of Neuroscience Nursing. 2009 Dec;41(6):290-7.
View article - Vance DE, Ball KK et al. Predictors of falling in older Maryland drivers: A structural-equation model. Journal of Aging and Physical Activity. 2006:14;254-69.
View article - Vance DE, McNees P, Meneses K. Technology, cognitive remediation, and nursing: Directions for successful cognitive aging. Journal of Gerontological Nursing. 2009 Feb;35(2):50-6.
View article - Vance D, Wadley V et al. The Accelerate Study: The longitudinal effect of speed of processing training on cognitive performance of older adults. Rehabilitation Psychology. 2007;52(1):89-96.
View article - Vance DE, Webb NM, et al. Mental stimulation, neural plasticity, and aging: Directions for nursing research and practice. Journal of Neuroscience Nursing. 2008 Aug;40(4):241-9.
View article - Vance DE, Wright MA. Positive and negative neuroplasticity: Implications for age-related cognitive declines. Journal of Gerontological Nursing. 2009 Jun;35(6):11-7.
View article - Willis SL, Tennstedt SL, et al. Long-term effects of cognitive training on everyday functional outcomes in older adults. Journal of the American Medical Associaton. 2006 Dec 20;296(23):2805-14.
View article - Wolinsky FD, Mahncke HW et al. The ACTIVE cognitive training trial and predicted medical expenditures. BMC Health Services Research. 2009 Jun 29;9:109.
View article - Wolinsky FD, Mahncke HW et al. Speed of processing training protects self-rated health in older adults: Enduring effects observed in the multi-site ACTIVE randomized controlled trial. International Psychogeriatrics. 2010 May; 22(3): 470-8.
View article - Wolinsky FD, Unverzagt FW et al. The effects of the ACTIVE cognitive training trial on clinically relevant declines in health-related quality of life. Journals of Gerontology B. 2006 Sep;61(5):S281-7.
View article - Wolinsky FD, Unverzagt FW et al. The ACTIVE cognitive training trial and health-related quality of life: Protection that lasts for 5 years. Journals of Gerontology A. 2006 Dec;61(12):1324-9.
View article - Wolinsky FD, Vander Weg MW et al. Does cognitive training improve internal locus of control among older adults? Journals of Gerontology B. 2010 Sep;65(5):591-8.
View article - Wolinsky FD, Vander Weg MW et al. Interim analyses from a randomized controlled trial to improve visual processing speed in older adults: the Iowa Healthy and Active Minds Study. BMJ Open. 2011 Nov 21;1(2):e000225.
View article - Wolinsky FD, Vander Weg MW et al. A randomized controlled trial of cognitive training using a visual speed of processing intervention in middle aged and older adults. PLoS One. 2013 May 1; 8(5): e61624.
View article - Zelinski EM, Dalton SE, Smith GE. Consumer-based brain fitness programs. In Hartman-Stein PE and La Rue A, eds. Enhancing Cognitive Fitness in Adults: A Guide to the Use and Development of Community-Based Programs. Springer;2011:45-66.
View article - Zelinski EM, Peters KD et al. Evaluating the relationship between change in performance on training tasks and on untrained outcomes. Frontiers in Human Neuroscience. 2014 Aug 13;8:617
View article - Zelinski EM, Spina LM et al. Improvement in Memory with Plasticity-Based Adaptive Cognitive Training: Results of the 3-month follow-up. Journal of the American Geriatrics Society. 2011 Feb;59(2):258-65.
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HEART FAILURE
- Gary, Rebecca A., Sudeshna Paul, Elizabeth Corwin, Brittany Butts, Andrew H. Miller, Kenneth Hepburn, and Drenna Waldrop. 2020. “Exercise and Cognitive Training Intervention Improves Self-Care, Quality of Life and Functional Capacity in Persons with Heart Failure.” Journal of Applied Gerontology, October, 0733464820964338.
View article - Gary, R, S Paul, E Corwin, B Butts, A Miller, K Hepburn, and D Waldrop-Valverde. 2019. “Exercise and Cognitive Training as a Strategy to Improve Neurocognitive Outcomes in Heart Failure: A Pilot Study.”
View article - Pressler, Susan J., Marita Titler, Todd M. Koelling, Penny L. Riley, Miyeon Jung, Lisa Hoyland-Domenico, David L. Ronis, et al. 2015. “Nurse-Enhanced Computerized Cognitive Training Increases Serum Brain-Derived Neurotropic Factor Levels and Improves Working Memory in Heart Failure.” Journal of Cardiac Failure 21 (8): 630–41.
View article - Athilingam, Ponrathi, Jerri D. Edwards, Elise G. Valdes, Ming Ji, and Maya Guglin. 2015. “Computerized Auditory Cognitive Training to Improve Cognition and Functional Outcomes in Patients with Heart Failure: Results of a Pilot Study.” Heart & Lung: The Journal of Acute and Critical Care 44 (2): 120–28.
View article - Ellis, Michelle L., Jerri D. Edwards, Lindsay Peterson, Rosalyn Roker, and Ponrathi Athilingam. 2014. “Effects of Cognitive Speed of Processing Training among Older Adults with Heart Failure.” Journal of Aging and Health 26 (4): 600–615.
View article - Pressler, Susan J., Alison Martineau, Judith Grossi, Bruno Giordani, Todd M. Koelling, David L. Ronis, Penny L. Riley, Cheng-Chen Chou, Barbara J. Sullivan, and Dean G. Smith. 2013. “Healthcare Resource Use among Heart Failure Patients in a Randomized Pilot Study of a Cognitive Training Intervention.” Heart & Lung 42 (5): 332–338.
View article - Pressler, Susan J., Barbara Therrien, Penny L. Riley, Cheng-Chen Chou, David L. Ronis, Todd M. Koelling, Dean G. Smith, Barbara Jean Sullivan, Ann-Marie Frankini, and Bruno Giordani. 2011. “Nurse-Enhanced Memory Intervention in Heart Failure: The MEMOIR Study.” Journal of Cardiac Failure 17 (10): 832–843.
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HIV-RELATED COGNITIVE DECLINE
- Eaton, Andrew D., Shelley L. Craig, Sean B. Rourke, Teresa Sota, John W. McCullagh, Barbara A. Fallon, and Sharon L. Walmsley. 2022. “Cognitive Remediation Group Therapy Compared to Mutual Aid Group Therapy for People Aging with HIV-Associated Neurocognitive Disorder: Randomized, Controlled Trial.” Social Work with Groups 45 (2): 116–31.
View article - Vance, David E., Caitlin N. Pope, Pariya L. Fazeli, Andres Azuero, Jennifer S. Frank, Virginia G. Wadley, James L. Raper, Jun Y. Byun, and Karlene K. Ball. 2022. “A Randomized Clinical Trial on the Impact of Individually Targeted Computerized Cognitive Training on Quality of Life Indicators in Adults with Hiv-Associated Neurocognitive Disorder in the Southeastern United States.” Journal of the Association of Nurses in AIDS Care, January.
View article - Vance, David E., Pariya L. Fazeli, Andres Azuero, Virginia G. Wadley, James L. Raper, and Karlene K. Ball. 2021. “Can Individualized-Targeted Computerized Cognitive Training Benefit Adults with HIV-Associated Neurocognitive Disorder? The Training On Purpose Study (TOPS).” AIDS and Behavior, March.
View article - Vance, David E., Michael Jensen, Frida Tende, James L. Raper, Shannon Morrison, and Pariya L. Fazeli. 2018. “Individualized-Targeted Computerized Cognitive Training to Treat HIV-Associated Neurocognitive Disorder: An Interim Descriptive Analysis.” The Journal of the Association of Nurses in AIDS Care: JANAC 29 (4): 604–11.
View article - Pope, C. N., D. Stavrinos, D. E. Vance, A. J. Woods, T. R. Bell, K. K. Ball, and P. L. Fazeli. 2018. “A Pilot Investigation on the Effects of Combination Transcranial Direct Current Stimulation and Speed of Processing Cognitive Remediation Therapy on Simulated Driving Behavior in Older Adults with HIV.” Transportation Research Part F: Traffic Psychology and Behaviour 58 (October): 1061–73.
View article - Frain, Judy A., and Ling Chen. 2018. “Examining the Effectiveness of a Cognitive Intervention to Improve Cognitive Function in a Population of Older Adults Living with HIV: A Pilot Study.” Therapeutic Advances in Infectious Disease 5 (1): 19–28.
View article - Kaur, Jaspreet, Joan E. Dodson, Laura Steadman, and David E. Vance. 2014. “Predictors of Improvement Following Speed of Processing Training in Middle-Aged and Older Adults with HIV: A Pilot Study.” The Journal of Neuroscience Nursing : Journal of the American Association of Neuroscience Nurses 46 (1): 23–33.
View article - Vance, David E., Pariya L. Fazeli, Lesley A. Ross, Virginia G. Wadley, and Karlene K. Ball. 2012. “Speed of Processing Training with Middle-Age and Older Adults with HIV: A Pilot Study.” Journal of the Association of Nurses in AIDS Care 23 (6): 500–510.
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MILD COGNITIVE IMPAIRMENT (MCI)
- Chen, Quanjing, Adam Turnbull, Martin Cole, Zhengwu Zhang, and Feng V. Lin. 2022. “Enhancing Cortical Network-Level Participation Coefficient as a Potential Mechanism for Transfer in Cognitive Training in AMCI.” NeuroImage, March, 119124.
View article - Levy, Shellie-Anne, Glenn Smith, Liselotte De Wit, Brittany DeFeis, Gelan Ying, Priscilla Amofa, Dona Locke, et al. 2022. “Behavioral Interventions in Mild Cognitive Impairment (MCI): Lessons from a Multicomponent Program.” Neurotherapeutics 19 (1): 117–31.
View article - Shandera-Ochsner, Anne L., Melanie J. Chandler, Dona E. Locke, Colleen T. Ball, Julia E. Crook, Vaishali S. Phatak, and Glenn E. Smith. 2021. “Comparative Effects of Physical Exercise and Other Behavioral Interventions on Functional Status Outcomes in Mild Cognitive Impairment.” Journal of the International Neuropsychological Society : JINS 27 (8): 805–12.
View article - Phatak, Vaishali S., Glenn E. Smith, Dona Locke, Anne Shandera-Ochsner, Pamela M. Dean, Colleen Ball, Gianna Gutierrez, and Melanie J. Chandler. 2021. “Computerized Cognitive Training (CCT) versus Yoga Impact on 12 Month Post Intervention Cognitive Outcome in Individuals with Mild Cognitive Impairment.” Brain Sciences 11 (8): 988.
View article - Lin, Feng, Ye Tao, Quanjing Chen, Mia Anthony, Zhengwu Zhang, Duje Tadin, and Kathi L. Heffner. 2020. “Processing Speed and Attention Training Modifies Autonomic Flexibility: A Mechanistic Intervention Study.” NeuroImage, 116730.
View article - Chen, Quanjing, Haichuan Yang, Brian Rooks, Mia Anthony, Zhengwu Zhang, Duje Tadin, Kathi L. Heffner, and Feng V. Lin. 2020. “Autonomic Flexibility Reflects Learning and Associated Neuroplasticity in Old Age.” Human Brain Mapping 41 (13): 3608–19.
View article - Czaja, Sara J., Peter Kallestrup, and Philip D. Harvey. 2020. “Evaluation of a Novel Technology-Based Program Designed to Assess and Train Everyday Skills in Older Adults.” Innovation in Aging 4 (6).
View article - McMaster, Mitchell, Sarang Kim, Linda Clare, Susan J. Torres, Nicolas Cherbuin, Catherine DʼEste, and Kaarin J. Anstey. 2020. “Lifestyle Risk Factors and Cognitive Outcomes from the Multidomain Dementia Risk Reduction Randomized Controlled Trial, Body Brain Life for Cognitive Decline (BBL-CD).” Journal of the American Geriatrics Society, September.
View article - Valdés, Elise G., Ross Andel, Jennifer J. Lister, Alyssa Gamaldo, and Jerri D. Edwards. 2017. “Can Cognitive Speed of Processing Training Improve Everyday Functioning among Older Adults with Psychometrically Defined Mild Cognitive Impairment?” Journal of Aging and Health 31 (4): 595–610.
View article - Lin, Feng, Kathi L Heffner, Ping Ren, and Duje Tadin. 2017. “A Role of the Parasympathetic Nervous System in Cognitive Training.” Current Alzheimer Research 14 (7): 784–789.
View article - Lin, Feng, Kathi L. Heffner, Ping Ren, Madalina E. Tivarus, Judith Brasch, Ding-Geng Chen, Mark Mapstone, Anton P. Porsteinsson, and Duje Tadin. 2016. “Cognitive and Neural Effects of Vision-Based Speed-of-Processing Training in Older Adults with Amnestic Mild Cognitive Impairment: A Pilot Study.” Journal of the American Geriatrics Society 64 (6): 1293–98.
View article - Klados, Manousos A., Charis Styliadis, Christos A. Frantzidis, Evangelos Paraskevopoulos, and Panagiotis D. Bamidis. 2016. “Beta-Band Functional Connectivity Is Reorganized in Mild Cognitive Impairment after Combined Computerized Physical and Cognitive Training.” Frontiers in Neuroscience 10 (55): 1–12.
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MULTIPLE SCLEROSIS
- Fuchs, Tom A., Stefano Ziccardi, Ralph H. B. Benedict, Alexander Bartnik, Amy Kuceyeski, Leigh E. Charvet, Devon Oship, et al. 2020. “Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis.” Journal of Neuroimaging 30 (4): 523–30.
View article - Vilou, Irini, and Christos Bakirtzis. 2020. “Computerized cognitive rehabilitation for treatment of cognitive impairment in multiple sclerosis: an explorative study.” Journal of Integrative Neuroscience 19 (2): 341–47.
View article - Shaw, Michael, Giuseppina Pilloni, and Leigh Charvet. 2020. “Delivering Transcranial Direct Current Stimulation Away from Clinic: Remotely Supervised TDCS.” Military Medicine 185 (Supplement_1): 319–25.
View article - Barker, Lindsay, Brian C. Healy, Emily Chan, Kaitlynne Leclaire, and Bonnie I. Glanz. 2019. “A Pilot Study to Assess At-Home Speed of Processing Training for Individuals with Multiple Sclerosis.” Multiple Sclerosis International 2019.
View article - Fuchs, Tom A., Stefano Ziccardi, Michael G. Dwyer, Leigh E. Charvet, Alexander Bartnik, Rebecca Campbell, Jose Escobar, et al. 2019. “Response Heterogeneity to Home-Based Restorative Cognitive Rehabilitation in Multiple Sclerosis: An Exploratory Study.” Multiple Sclerosis and Related Disorders 34 (September): 103–11.
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PARKINSON’S DISEASE
- Manenti, Rosa, Maria Sofia Cotelli, Chiara Cobelli, Elena Gobbi, Michela Brambilla, Danila Rusich, Antonella Alberici, Alessandro Padovani, Barbara Borroni, and Maria Cotelli. 2018. “Transcranial Direct Current Stimulation Combined with Cognitive Training for the Treatment of Parkinson Disease: A Randomized, Placebo-Controlled Study.” Brain Stimulation 11 (6): 1251–62.
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SCHIZOPHRENIA
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STROKE
- Van Vleet, Thomas, Paolo Bonato, Eric Fabara, Sawsan Dabit, Sarah-Jane Kim, Christopher Chiu, Antonio Luigi Bisogno, Michael Merzenich, Maurizio Corbetta, and Joseph DeGutis. 2020. “Alertness Training Improves Spatial Bias and Functional Ability in Spatial Neglect.” Annals of Neurology, August.
View article - Yeh, Ting-ting, Ku-chou Chang, and Ching-yi Wu. 2019. “The Active Ingredient of Cognitive Restoration: A Multicenter Randomized Controlled Trial of Sequential Combination of Aerobic Exercise and Computer-Based Cognitive Training in Stroke Survivors with Cognitive Decline.” Archives of Physical Medicine and Rehabilitation 100 (5): 821–27.
View article - Wang, Jing, Ronghua Mao, Changxiang Chen, Shuxing Li, Min Zhang, and Na Dou. 2016. “BrainHQ visual training can improve the memory of stroke survivors.” Chinese Journal of Physical Medicine and Rehabilitation, 576–79.
View article - Ronghua, Mao, Hao Jun Xi, and Chen Xiang Long. 2016. “Effects of BrainHQ Visual Training on Memory Function in Stroke Patients” 3: 312–15.
View article - Mao, Ronghua, and Chen Xiang Long. 2016. “Effects of BrainHQ Visual Training on Balance Function in Stroke Patients” 5: 544–46.
View article - Mao, Ronghua, Changxiang Chen, Dan Li, Shuxing Li, and Min Zhang. 2015. “Intervention Effect of BrainHQ Visual Training on Depressive Symptom in Patients with Post Stroke Depression.” Chinese Journal of Behavioral Medical Science 24 (12): 1097–99.
View article - Chen, Chang-Xiang, Rong-Hua Mao, Shu-Xing Li, Ya-Ning Zhao, and Min Zhang. 2015. “Effect of Visual Training on Cognitive Function in Stroke Patients.” International Journal of Nursing Sciences 2 (4): 329–333.
View article - Van Vleet, Thomas M., and Joseph M. DeGutis. 2013. “Cross-Training in Hemispatial Neglect: Auditory Sustained Attention Training Ameliorates Visual Attention Deficits.” Cortex 49 (3): 679–690.
View article - DeGutis, Joseph M., and Thomas M. Van Vleet. 2010. “Tonic and Phasic Alertness Training: A Novel Behavioral Therapy to Improve Spatial and Non-Spatial Attention in Patients with Hemispatial Neglect.” Frontiers in Human Neuroscience 4 (60): 1–17.
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SUBSTANCE-USE DISORDERS
- Bell, Morris D., Bharath Muppala, Andrea J. Weinstein, David Ciosek, Brian Pittman, Ismene Petrakis, and Joanna M. Fiszdon. 2020. “Randomized Clinical Trial of Cognitive Remediation Therapy with Work Therapy in the Early Phase of Substance Use Disorder Recovery for Older Veterans: 12-Month Follow-Up.” Journal of Substance Abuse Treatment 112 (May): 17–22.
View article - Bell, Morris D., Holly B. Laws, and Ismene B. Petrakis. 2016. “A Randomized Controlled Trial of Cognitive Remediation and Work Therapy in the Early Phase of Substance Use Disorder Recovery for Older Veterans: Neurocognitive and Substance Use Outcomes.” Psychiatric Rehabilitation Journal 40 (1): 94–102.
View article - Bell, Morris D., Nicholas A. Vissicchio, and Andrea J. Weinstein. 2016. “Cognitive Training and Work Therapy for the Treatment of Verbal Learning and Memory Deficits in Veterans with Alcohol Use Disorders.” Journal of Dual Diagnosis 12 (1): 83–89.
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TINNITUS
- Kallogjeri, Dorina, Jay F. Piccirillo, Edward Spitznagel, Sandra Hale, Joyce E. Nicklaus, Frances Mei Hardin, Joshua S. Shimony, Rebecca S. Coalson, and Bradley L. Schlaggar. 2017. “Cognitive Training for Adults with Bothersome Tinnitus.” JAMA Otolaryngology-- Head & Neck Surgery 143 (5): 443–51.
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TRAUMATIC BRAIN INJURY (TBI)
- Waid-Ebbs, Julia, Pey-Shan Wen, and William Perlstein. 2022. “Enhancing Goal Management Training with Attention Drill Training.” Archives of Physical Medicine and Rehabilitation 103 (3): e43.
View article - Lindsey, Hannah M., Mariana Lazar, Giulia Mercuri, Joseph F. Rath, Tamara Bushnik, Steven Flanagan, and Gerald T. Voelbel. 2022. “The Effects of Plasticity-Based Cognitive Rehabilitation on Resting-State Functional Connectivity in Chronic Traumatic Brain Injury: A Pilot Study.” NeuroRehabilitation Preprint (Preprint): 1–18.
View article - Voelbel, Gerald T., Hannah M. Lindsey, Giulia Mercuri, Tamara Bushnik, and Joseph Rath. 2021. “The Effects of Neuroplasticity-Based Auditory Information Processing Remediation in Adults with Chronic Traumatic Brain Injury.” NeuroRehabilitation, August.
View article - Mahncke, Henry W, Joseph DeGutis, Harvey Levin, Mary R Newsome, Morris D Bell, Chad Grills, Louis M French, et al. 2021. “A Randomized Clinical Trial of Plasticity-Based Cognitive Training in Mild Traumatic Brain Injury.” Brain, no. awab202 (July).
View article - Sharma, Bhanu, Jennifer C. Tomaszczyk, Deirdre Dawson, Gary R. Turner, Brenda Colella, and Robin E. A. Green. 2017. “Feasibility of Online Self-Administered Cognitive Training in Moderate–Severe Brain Injury.” Disability and Rehabilitation 39 (14): 1380–90.
View article - O’Neil-Pirozzi, Therese, and Henry Hsu. 2016. “Feasibility and Benefits of Computerized Cognitive Exercise to Adults with Chronic Moderate-to-Severe Cognitive Impairments Following an Acquired Brain Injury: A Pilot Study” 30 (13–14): 1617–25.
View article - Sullivan, Katherine W., Julia E. Quinn, Michael Pramuka, Laura A. Sharkey, and Louis M. French. 2012. “Outcomes from a Pilot Study Using Computer-Based Rehabilitative Tools in a Military Population.” Annual Review of Cybertherapy and Telemedicine 2012: Advanced Technologies in the Behavioral, Social and Neurosciences 181: 71–77.
View article - Lebowitz, Matthew S., Kristen Dams-O’Connor, and Joshua B. Cantor. 2012. “Feasibility of Computerized Brain Plasticity-Based Cognitive Training after Traumatic Brain Injury.” Journal of Rehabilitation Research and Development 49 (10): 1547–1556.
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WORKPLACE
- Hamilton, Joseph A., Gary Lambert, Joel Suss, and Adam T. Biggs. 2019. “Can Cognitive Training Improve Shoot/Don’t-Shoot Performance? Evidence from Live Fire Exercises.” The American Journal of Psychology 132 (2): 179–94.
View article - Miller, Steven L., Suhas Chelian, Will McBurnett, Winnie Tsou, and Amy A. Kruse. 2019. “An Investigation of Computer-Based Brain Training on the Cognitive and EEG Performance of Employees*.” 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July, 518–21.
View article - Walters, Jim, Stanley E. Sheft, Mark A. Stellmack, and Anna Abele. 2019. “Improving Attentiveness: Effect of Cognitive Training on Sustained Attention Measures.” Professional Safety 64 (04): 31–35.
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