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A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults

Anatürk, M; Demnitz, N; Ebmeier, KP; Sexton, CE; (2018) A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults. Neuroscience & Biobehavioral Reviews , 93 pp. 71-84. 10.1016/j.neubiorev.2018.06.012. Green open access

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Abstract

Population aging has prompted considerable interest in identifying modifiable factors that may help protect the brain and its functions. Collectively, epidemiological studies show that leisure activities with high mental and social demands are linked with better cognition in old age. The extent to which socio-intellectual activities relate to the brain’s structure is, however, not yet fully understood. This systematic review and meta-analysis summarizes magnetic resonance imaging studies that have investigated whether cognitive and social activities correlate with measures of gray and white matter volume, white matter microstructure and white matter lesions. Across eighteen included studies (total n = 8429), activity levels were associated with whole-brain white matter volume, white matter lesions and regional gray matter volume, although effect sizes were small. No associations were found for global gray matter volume and the evidence concerning white matter microstructure was inconclusive. While the causality of the reviewed associations needs to be established, our findings implicate socio-intellectual activity levels as promising targets for interventions aimed at promoting healthy brain aging.

Type: Article
Title: A systematic review and meta-analysis of structural magnetic resonance imaging studies investigating cognitive and social activity levels in older adults
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neubiorev.2018.06.012
Publisher version: https://doi.org/10.1016/j.neubiorev.2018.06.012
Language: English
Additional information: Copyright © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: Brain, Social activity, Cognitive activity, Aging, Magnetic resonance imaging, Voxel-based morphometry, Region-of-interest, Gray matter, White matter
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10117927
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