Home > Publications Database > Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. > print

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024 7 _ |a pmc:PMC8675429
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024 7 _ |a 10.1002/hbm.25320
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024 7 _ |a pmid:33570244
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024 7 _ |a 1065-9471
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024 7 _ |a 1097-0193
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037 _ _ |a DZNE-2021-00815
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Dima, Danai
|0 0000-0002-2598-0952
|b 0
245 _ _ |a Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years.
260 _ _ |a New York, NY
|c 2022
|b Wiley-Liss
336 7 _ |a article
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336 7 _ |a Output Types/Journal article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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336 7 _ |a Journal Article
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520 _ _ |a 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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650 _ 7 |a ENIGMA
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650 _ 7 |a brain morphometry
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650 _ 7 |a longitudinal trajectories
|2 Other
650 _ 7 |a multisite
|2 Other
650 _ 2 |a Adolescent
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
650 _ 2 |a Amygdala: anatomy & histology
|2 MeSH
650 _ 2 |a Amygdala: diagnostic imaging
|2 MeSH
650 _ 2 |a Child
|2 MeSH
650 _ 2 |a Child, Preschool
|2 MeSH
650 _ 2 |a Corpus Striatum: anatomy & histology
|2 MeSH
650 _ 2 |a Corpus Striatum: diagnostic imaging
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Hippocampus: anatomy & histology
|2 MeSH
650 _ 2 |a Hippocampus: diagnostic imaging
|2 MeSH
650 _ 2 |a Human Development: physiology
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Neuroimaging
|2 MeSH
650 _ 2 |a Thalamus: anatomy & histology
|2 MeSH
650 _ 2 |a Thalamus: diagnostic imaging
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
700 1 _ |a Modabbernia, Amirhossein
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