Article
Details
Citation
Royle NA, Booth T, Valdés Hernández MC, Penke L, Murray C, Gow AJ, Maniega SM, Starr J, Bastin ME, Deary IJ & Wardlaw JM (2013) Estimated maximal and current brain volume predict cognitive ability in old age. Neurobiology of Aging, 34 (12), pp. 2726-2733. https://doi.org/10.1016/j.neurobiolaging.2013.05.015
Abstract
Brain tissue deterioration is a significant contributor to lower cognitive ability in later life; however, few studies have appropriate data to establish how much influence prior brain volume and prior cognitive performance have on this association. We investigated the associations between structural brain imaging biomarkers, including an estimate of maximal brain volume, and detailed measures of cognitive ability at age 73 years in a large (N = 620), generally healthy, community-dwelling population. Cognitive ability data were available from age 11 years. We found positive associations (r) between general cognitive ability and estimated brain volume in youth (male, 0.28; females, 0.12), and in measured brain volume in later life (males, 0.27; females, 0.26). Our findings show that cognitive ability in youth is a strong predictor of estimated prior and measured current brain volume in old age but that these effects were the same for both white and gray matter. As 1 of the largest studies of associations between brain volume and cognitive ability with normal aging, this work contributes to the wider understanding of how some early-life factors influence cognitive aging.
Keywords
Aging; structural brain imaging biomarkers; brain volume; life course cognitive ability; IQ;
Journal
Neurobiology of Aging: Volume 34, Issue 12
Status | Published |
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Funders | Biotechnology and Biological Sciences Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council and Medical Research Council |
Publication date | 31/12/2013 |
Publication date online | 11/07/2013 |
Date accepted by journal | 16/05/2013 |
URL | http://hdl.handle.net/1893/27532 |
Publisher | Elsevier BV |
ISSN | 0197-4580 |