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Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years
Journal article   Open access   Peer reviewed

Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

Danai Dima, Amirhossein Modabbernia, Efstathios Papachristou, Gaelle E Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn I Alpert, …
Human Brain Mapping, Vol.43(1), pp.452-469
2022
PMCID: PMC8675429
PMID: 33570244
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Subcortical volumes across the lifespan - Data from 18,605 healthy individuals aged 3–90 years - VoR2.23 MBDownloadView
Published Version Open Access CC BY V4.0
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https://doi.org/10.1002/hbm.25320View
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Abstract

ENIGMA longitudinal trajectories brain morphometry multisite Other Collaborations Thompson Institute Special Collection
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.

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Neuroimaging
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Radiology, Nuclear Medicine & Medical Imaging

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