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Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
Department of Psychology, School of Arts and Social Sciences, City University of London, London, United Kingdom; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, New York, United States.
Psychology and Human Development, Institute of Education, University College London, London, United Kingdom.
Boys Town National Research Hospital, NE, Omaha, United States.
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2022 (English)In: Human Brain Mapping, ISSN 1065-9471, E-ISSN 1097-0193, Vol. 43, no 1, p. 452-469Article in journal (Refereed) Published
Abstract [en]

Age has a major effect on brain volume. However, the normative studies available are constrained by small sample sizes, restricted age coverage and significant methodological variability. These limitations introduce inconsistencies and may obscure or distort the lifespan trajectories of brain morphometry. In response, we capitalized on the resources of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to examine age-related trajectories inferred from cross-sectional measures of the ventricles, the basal ganglia (caudate, putamen, pallidum, and nucleus accumbens), the thalamus, hippocampus and amygdala using magnetic resonance imaging data obtained from 18,605 individuals aged 3–90 years. All subcortical structure volumes were at their maximum value early in life. The volume of the basal ganglia showed a monotonic negative association with age thereafter; there was no significant association between age and the volumes of the thalamus, amygdala and the hippocampus (with some degree of decline in thalamus) until the sixth decade of life after which they also showed a steep negative association with age. The lateral ventricles showed continuous enlargement throughout the lifespan. Age was positively associated with inter-individual variability in the hippocampus and amygdala and the lateral ventricles. These results were robust to potential confounders and could be used to examine the functional significance of deviations from typical age-related morphometric patterns.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022. Vol. 43, no 1, p. 452-469
Keywords [en]
brain morphometry, ENIGMA, longitudinal trajectories, multisite
National Category
Neurosciences
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URN: urn:nbn:se:umu:diva-186205DOI: 10.1002/hbm.25320ISI: 000616912000001PubMedID: 33570244Scopus ID: 2-s2.0-85100861722OAI: oai:DiVA.org:umu-186205DiVA, id: diva2:1581108
Funder
EU, Horizon 2020NIH (National Institute of Health)EU, FP7, Seventh Framework Programme, 602450Knut and Alice Wallenberg FoundationStockholm County CouncilSwedish Research CouncilThe Research Council of Norway, 223273Available from: 2021-07-19 Created: 2021-07-19 Last updated: 2022-10-31Bibliographically approved

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Andersson, MicaelNyberg, Lars

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