Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27532
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Estimated maximal and current brain volume predict cognitive ability in old age
Author(s): Royle, Natalie A
Booth, Tom
Valdés Hernández, Maria C
Penke, Lars
Murray, Catherine
Gow, Alan J
Maniega, Susana Muñoz
Starr, John
Bastin, Mark E
Deary, Ian J
Wardlaw, Joanna M
Keywords: Aging
structural brain imaging biomarkers
brain volume
life course cognitive ability
IQ
Issue Date: 31-Dec-2013
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.
DOI Link: 10.1016/j.neurobiolaging.2013.05.015
Rights: This article is available under the terms of the Creative Commons Attribution License (CC BY). (https://creativecommons.org/licenses/by/3.0/) You may distribute and copy the article, create extracts, abstracts, and other revised versions, adaptations or derivative works of or from an article (such as a translation), to include in a collective work (such as an anthology), to text or data mine the article, including for commercial purposes without permission from Elsevier. The original work must always be appropriately credited.

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