Journal article
The effects of computerized cognitive training in older adults' cognitive performance and biomarkers of structural brain aging
The journals of gerontology. Series B, Psychological sciences and social sciences, Vol.79(7), gbae075
07/01/2024
DOI: 10.1093/geronb/gbae075
PMCID: PMC11165429
PMID: 38686621
Abstract
Cognitive Training (CT) has been investigated as a means of delaying age-related cognitive decline in older adults. However, its impact on biomarkers of age-related structural brain atrophy has rarely been investigated, leading to a gap in our understanding of the linkage between improvements in cognition and brain plasticity. This study aimed to explore the impact of CT on cognitive performance and brain structure in older adults.
124 cognitively normal older adults recruited from two study sites were randomly assigned to either an adaptive CT (n=60) or a casual game training (Active Control, AC, n= 64).
After 10 weeks of training, CT participants showed greater improvements in the overall cognitive composite score (Cohen's d=.66, p<.01) with non-significant benefits after 6 months from the completion of training (Cohen's d=.36, p=.094). The CT group showed significant maintenance of the caudate volume as well as significant maintained fractional anisotropy (FA) in the left Internal Capsule (IC) and in left Superior Longitudinal Fasciculus (SLF) compared to the AC group. The AC group displayed an age-related decrease in these metrics of brain structure.
Results from this multi-site clinical trial demonstrate that the CT intervention improves cognitive performance and helps maintain caudate volume and integrity of white matter regions that are associated with cognitive control, adding to our understanding of the changes in brain structure contributing to changes in cognitive performance from adaptive CT.
Details
- Title: Subtitle
- The effects of computerized cognitive training in older adults' cognitive performance and biomarkers of structural brain aging
- Creators
- Hyun Kyu Lee - Posit Science (United States)Chandramallika Basak - The University of Texas at DallasSarah-Jane Grant - Posit Science (United States)Nicholas R Ray - The University of Texas at DallasPaulina A Skolasinska - The University of Texas at DallasChris Oehler - University of IowaShuo Qin - The University of Texas at DallasAndrew Sun - The University of Texas at DallasEvan T Smith - The University of Texas at DallasG Hulon Sherard - The University of Texas at DallasAdriana Rivera-Dompenciel - University of IowaMike Merzenich - Posit Science (United States)Michelle W Voss - University of Iowa
- Resource Type
- Journal article
- Publication Details
- The journals of gerontology. Series B, Psychological sciences and social sciences, Vol.79(7), gbae075
- DOI
- 10.1093/geronb/gbae075
- PMID
- 38686621
- PMCID
- PMC11165429
- NLM abbreviation
- J Gerontol B Psychol Sci Soc Sci
- eISSN
- 1758-5368
- Language
- English
- Electronic publication date
- 04/30/2024
- Date published
- 07/01/2024
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984622888302771
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