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Short-term computerized cognitive training does not improve cognition compared to an active control in non-demented adults aged 80 years and above

Published online by Cambridge University Press:  10 April 2019

Rebecca K. West ,
Laura A. Rabin ,
Jeremy M. Silverman ,
Erin Moshier ,
Mary Sano  and
Michal Schnaider Beeri
Rebecca K. West*
Affiliation:
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
Laura A. Rabin
Affiliation:
Brooklyn College, City University of New York, New York, NY, USA
Jeremy M. Silverman
Affiliation:
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
Erin Moshier
Affiliation:
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
Mary Sano
Affiliation:
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
Michal Schnaider Beeri
Affiliation:
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
*
Correspondence should be addressed to: Rebecca K. West, Icahn School of Medicine at Mount Sinai, Department of Psychiatry, Box 1230 One Gustave L Levy Place, New York, NY 10029. Phone: (212) 659-5603. Email: rebecca.west@mssm.edu.
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Abstract

Background:

Older adults, especially those above age 80, are the fastest growing segment of the population in the United States and at risk for age-related cognitive decline and dementia. There is growing evidence that cognitive activity and training may allow adults to maintain or improve cognitive functioning, but little is known about the potential benefit in the oldest old. In this randomized trial, the effectiveness of a computerized cognitive training program (CCT program) was compared to an active control games program to improve cognition in cognitively normal individuals aged 80 and older.

Methods:

Sixty-nine older adults were randomized to a 24-session CCT program (n = 39) or an active control program (n = 30). Participants completed a pre- and post- training neuropsychological assessment. The primary outcome measure was a global cognitive composite, and the secondary outcomes were the scores on specific cognitive domains (of memory, executive function/attention, and language).

Results:

Using linear mixed models, there were no significant differences between the CCT and the active control program on the primary (p = 0.662) or any of the secondary outcomes (language functioning, p = .628; attention/executive functioning, p = .428; memory, p = .749).

Conclusion:

This study suggests that short-term CCT had no specific benefit for cognitive functioning in non-demented individuals aged 80 and older.

Keywords

agingcognitive activitycognitive trainingneuropsychologyrandomized controlled trial (RCT)
Type
Original Research Article
Information
International Psychogeriatrics , Volume 32 , Issue 1: Issue Theme: Cultural Diversity in Psychogeriatrics , January 2020 , pp. 65 - 73
Copyright
© International Psychogeriatric Association 2019 

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Footnotes

The authors have not entered into an agreement with the funding organization that has limited their ability to complete the research as planned and publish the results.

The authors have had full control of all the primary data.

The authors are willing to allow the journal to review their data if requested.

References

Ackerman, P. L., Kanfer, R. and Calderwood, C. (2010). Use it or lose it? Wii brain exercise practice and reading for domain knowledge. Psychology and Aging, 25, 753–766. doi: 10.1037/a0019277.Use.CrossRefGoogle ScholarPubMed
Ballesteros, S. et al. (2015). Maintaining older brain functionality: a targeted review. Neuroscience & Biobehavioral Reviews, 55, 453–477. doi: 10.1016/j.neubiorev.2015.06.008.CrossRefGoogle ScholarPubMed
Beeri, M. S. et al. (2006). Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old. Neurology, 2, 1006–1010.CrossRefGoogle Scholar
Borella, E. et al. (2013). Working memory training in old age: an examination of transfer and maintenance effects. Archives of Clinical Neuropsychology, 28, 331–347. doi: 10.1093/arclin/act020.CrossRefGoogle ScholarPubMed
Bozoki, A. et al. (2013). Effects of a computer-based cognitive exercise program on age-related cognitive decline. Archives of Gerontology and Geriatrics, 57, 1–7. doi: 10.1016/j.archger.2013.02.009.CrossRefGoogle ScholarPubMed
Chakraborty, H. (2009). A mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values. Triangle Park, NC: RTI Press. doi: 10.3768/rtipress.2009.mr.0009.0903.CrossRefGoogle ScholarPubMed
Corrada, M. M., Berlau, D. J. and Kawas, C. H. (2012). A population-based clinicopathological study in the oldest-old: the 90+ study. Current Alzheimer Research, 9, 709–717.CrossRefGoogle ScholarPubMed
Daviglus, M. L. et al. (2010). National Institutes of Health state-of-the-science conference statement: preventing Alzheimer disease and cognitive decline. Annals of Internal Medicine, 153, 176–181. doi: 10.7326/0003-4819-153-3-201008030-00260.CrossRefGoogle ScholarPubMed
Deary, I. J. et al. (2009). Age-associated cognitive decline. British Medical Bulletin, 92, 135–152. doi: 10.1093/bmb/ldp033.CrossRefGoogle ScholarPubMed
File, T. (2013). Computer and Internet use in the United States. Current Population Survey Reports. US Census Bureau. Available at: http://www.census.gov/prod/2013pubs/p20-569.pdf.Google Scholar
Folstein, M. F., Robins, L. N. and Helzer, J. E. (1983). The Mini-Mental State Examination. Archives of General Psychiatry, 40, 1983.CrossRefGoogle ScholarPubMed
Haimov, I., Hanuka, E. and Horowitz, Y. (2008). Chronic insomnia and cognitive functioning among older adults. Behavioral Sleep Medicine, 6, 32–54.CrossRefGoogle ScholarPubMed
Klusmann, V. et al. (2010). Complex mental and physical activity in older women and cognitive performance: a 6-month randomized controlled trial. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 65, 680–688. doi: 10.1093/gerona/glq053.CrossRefGoogle ScholarPubMed
Kueider, A. M. et al. (2012). Computerized cognitive training with older adults: a systematic review. PLoS ONE, 7, e40588. doi: 10.1371/journal.pone.0040588.CrossRefGoogle ScholarPubMed
Kwok, T. C. Y. et al. (2011). Who would benefit from memory training? A pilot study examining the ceiling effect of concurrent cognitive stimulation. Clinical Interventions in Aging, 6, 83–88. doi: 10.2147/CIA.S16802.Google ScholarPubMed
Lampit, A., Hallock, H. and Valenzuela, M. (2014). Computerized cognitive training in cognitively healthy older adults: a systematic review and meta-analysis of effect modifiers. PLoS Medicine, 11, e1001756. doi: 10.1371/journal.pmed.1001756.CrossRefGoogle ScholarPubMed
La Rue, A. (2010). Healthy brain aging: role of cognitive reserve, cognitive stimulation, and cognitive exercises. Clinics in Geriatric Medicine, 26, 99–111. doi: 10.1016/j.cger.2009.11.003.CrossRefGoogle ScholarPubMed
Lustig, C. et al. (2009). Aging, training, and the brain: a review and future directions. Neuropsychological Review, 19, 504–522. doi: 10.1007/s11065-009-9119-9.CrossRefGoogle ScholarPubMed
Mackun, P. and Wilson, S. (2011). 2010 Census briefs, population distribution and change: 2000 to 2010. 12. Available at: http://www.census.gov/prod/cen2010/briefs/c2010br-01.pdf.Google Scholar
Mahncke, H. W., Bronstone, A. and Merzenich, M. M. (2006). Chapter 6 Brain plasticity and functional losses in the aged: scientific bases for a novel intervention. Progress in Brain Research, 157, 81–109. doi: 10.1016/S0079-6123(06)57006-2.CrossRefGoogle Scholar
Martin, M. et al. (2011). Cognition-based interventions for healthy older people and people with mild cognitive impairment. Cochrane Database of Systematic Reviews, 1, CD006220. doi: 10.1002/14651858.CD006220.pub2.Google Scholar
Miller, K. J. et al. (2012). The memory fitness program: cognitive effects of a healthy aging intervention. American Journal of Geriatric Psychiatry, 20, 514–523. doi: 10.1097/JGP.0b013e318227f821.CrossRefGoogle ScholarPubMed
Miller, K. J. et al. (2013). Effect of a computerized brain exercise program on cognitive performance in older adults. American Journal of Geriatric Psychiatry, 21, 655–663. doi: 10.1016/j.jagp.2013.01.077.CrossRefGoogle ScholarPubMed
Mitchell, A. J. (2009). A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. Journal of Psychiatric Research, 43, 411–431. doi: 10.1016/j.jpsychires.2008.04.014.CrossRefGoogle ScholarPubMed
Morris, J. C. et al. (2006) The Uniform Data Set (UDS): clinical and cognitive variables and descriptive data from Alzheimer Disease Centers. Alzheimer Disease and Associated Disorders, 20, 210–216. doi: 10.1097/01.wad.0000213865.09806.92.CrossRefGoogle ScholarPubMed
Nouchi, R. et al. (2012). Brain training game improves executive functions and processing speed in the elderly: a randomized controlled trial. PLoS ONE, 7, e29676. doi: 10.1371/journal.pone.0029676.CrossRefGoogle ScholarPubMed
Papp, K. V., Walsh, S. J. and Snyder, P. J. (2009). Immediate and delayed effects of cognitive interventions in healthy elderly: a review of current literature and future directions. Alzheimer’s and Dementia, 5, 50–60. doi: 10.1016/j.jalz.2008.10.008.CrossRefGoogle ScholarPubMed
Park, D. C. and Bischof, G. N. (2013). The aging mind: neuroplasticity in response to cognitive training. Dialogues in Clinical Neuroscience, 15, 109–119. doi: 10.1007/s11065-009-9119-9.Google ScholarPubMed
Reas, E. T., Laughlin, G. A., Bergstrom, M. S., Kritz-Silverstein, D., Barrett-Connor, E. and Mcevoy, L. K. (2017). Effects of sex and education on cognitive change over a 27-year period in older adults : the Rancho Bernardo Study. American Journal of Geriatric Psychiatry, 25, 889–899. doi: 10.1016/j.jagp.2017.03.008.Effects.CrossRefGoogle Scholar
Rebok, G. W. et al. (2013). Memory training in the ACTIVE study: how much is needed and who benefits? Journal of Aging and Health, 25, 21S–42S. doi: 10.1177/0898264312461937.CrossRefGoogle ScholarPubMed
Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30, 507–514. doi: 10.1016/j.neurobiolaging.2008.09.023.CrossRefGoogle ScholarPubMed
Schneider, N. and Yvon, C. (2013). A review of multidomain interventions to support healthy cognitive ageing. Journal of Nutrition, Health and Aging, 17, 252–257. doi: 10.1007/s12603-012-0402-8.CrossRefGoogle ScholarPubMed
Shatil, E., Korczyn, A. D., Peretz, C., Breznitz, S., Aharonson, V. and Giladi, N. (2008). Improving cognitive performance in elderly subjects using computerized cognitive training Alzheimer’s association. Alzheimer’s & Dementia: Alzheimer’s Association International Conference on Alzheimer’s Disease, 4, T492.Google Scholar
Simon, S. S. et al. (2018). Is computerized working memory training effective in healthy older adults? Evidence from a multi-site, randomized controlled trial. Journal of Alzheimer’s disease : JAD, 65, 931–949. doi: 10.3233/JAD-180455.CrossRefGoogle ScholarPubMed
Singer, T., Lindenberger, U. and Baltes, P. B. (2003). Plasticity of memory for new learning in very old age: a story of major loss? Psychology and Aging, 18, 306–317. doi: 10.1037/0882-7974.18.2.306.CrossRefGoogle ScholarPubMed
Terry, R. D., DeTeresa, R. and Hansen, L. A. (1987). Neocortical cell counts in normal human adult aging. Annals of Neurology, 26, 530–539.CrossRefGoogle Scholar
Verghese, J. et al. (2003). Leisure activities and the risk of dementia in the elderly. The New England Journal of Medicine, 348, 2508–2516.CrossRefGoogle ScholarPubMed
Wolinsky, F. D. et al. (2013). A randomized controlled trial of cognitive training using a visual speed of processing intervention in middle aged and older adults. PLoS One, 8, e61624. doi: 10.1371/journal.pone.0061624.CrossRefGoogle ScholarPubMed
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