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000155647 0247_ $$2doi$$a10.1002/hbm.25320
000155647 0247_ $$2pmid$$apmid:33570244
000155647 0247_ $$2ISSN$$a1065-9471
000155647 0247_ $$2ISSN$$a1097-0193
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000155647 037__ $$aDZNE-2021-00815
000155647 041__ $$aEnglish
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000155647 1001_ $$00000-0002-2598-0952$$aDima, Danai$$b0
000155647 245__ $$aSubcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.
000155647 260__ $$aNew York, NY$$bWiley-Liss$$c2022
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000155647 520__ $$aAge 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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000155647 650_7 $$2Other$$aENIGMA
000155647 650_7 $$2Other$$abrain morphometry
000155647 650_7 $$2Other$$alongitudinal trajectories
000155647 650_7 $$2Other$$amultisite
000155647 650_2 $$2MeSH$$aAdolescent
000155647 650_2 $$2MeSH$$aAdult
000155647 650_2 $$2MeSH$$aAged
000155647 650_2 $$2MeSH$$aAged, 80 and over
000155647 650_2 $$2MeSH$$aAmygdala: anatomy & histology
000155647 650_2 $$2MeSH$$aAmygdala: diagnostic imaging
000155647 650_2 $$2MeSH$$aChild
000155647 650_2 $$2MeSH$$aChild, Preschool
000155647 650_2 $$2MeSH$$aCorpus Striatum: anatomy & histology
000155647 650_2 $$2MeSH$$aCorpus Striatum: diagnostic imaging
000155647 650_2 $$2MeSH$$aFemale
000155647 650_2 $$2MeSH$$aHippocampus: anatomy & histology
000155647 650_2 $$2MeSH$$aHippocampus: diagnostic imaging
000155647 650_2 $$2MeSH$$aHuman Development: physiology
000155647 650_2 $$2MeSH$$aHumans
000155647 650_2 $$2MeSH$$aMale
000155647 650_2 $$2MeSH$$aMiddle Aged
000155647 650_2 $$2MeSH$$aNeuroimaging
000155647 650_2 $$2MeSH$$aThalamus: anatomy & histology
000155647 650_2 $$2MeSH$$aThalamus: diagnostic imaging
000155647 650_2 $$2MeSH$$aYoung Adult
000155647 7001_ $$aModabbernia, Amirhossein$$b1
000155647 7001_ $$aPapachristou, Efstathios$$b2
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