TY - JOUR
T1 - Subcortical volumes across the lifespan
T2 - Data from 18,605 healthy individuals aged 3–90 years
AU - Karolinska Schizophrenia Project (KaSP)
AU - Dima, Danai
AU - Modabbernia, Amirhossein
AU - Papachristou, Efstathios
AU - Doucet, Gaelle E.
AU - Agartz, Ingrid
AU - Aghajani, Moji
AU - Akudjedu, Theophilus N.
AU - Albajes-Eizagirre, Anton
AU - Alnæs, Dag
AU - Alpert, Kathryn I.
AU - Andersson, Micael
AU - Andreasen, Nancy C.
AU - Andreassen, Ole A.
AU - Asherson, Philip
AU - Banaschewski, Tobias
AU - Bargallo, Nuria
AU - Baumeister, Sarah
AU - Baur-Streubel, Ramona
AU - Bertolino, Alessandro
AU - Bonvino, Aurora
AU - Boomsma, Dorret I.
AU - Borgwardt, Stefan
AU - Bourque, Josiane
AU - Brandeis, Daniel
AU - Breier, Alan
AU - Brodaty, Henry
AU - Brouwer, Rachel M.
AU - Buitelaar, Jan K.
AU - Busatto, Geraldo F.
AU - Buckner, Randy L.
AU - Calhoun, Vincent
AU - Canales-Rodríguez, Erick J.
AU - Cannon, Dara M.
AU - Caseras, Xavier
AU - Castellanos, Francisco X.
AU - Cervenka, Simon
AU - Chaim-Avancini, Tiffany M.
AU - Ching, Christopher R.K.
AU - Chubar, Victoria
AU - Clark, Vincent P.
AU - Conrod, Patricia
AU - Conzelmann, Annette
AU - Crespo-Facorro, Benedicto
AU - Crivello, Fabrice
AU - Crone, Eveline A.
AU - Dannlowski, Udo
AU - Dale, Anders M.
AU - Davey, Christopher
AU - de Geus, Eco J.C.
AU - de Haan, Lieuwe
N1 - Publisher Copyright:
© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85100861722
U2 - 10.1002/hbm.25320
DO - 10.1002/hbm.25320
M3 - Journal articles
C2 - 33570244
AN - SCOPUS:85100861722
SN - 1065-9471
VL - 43
SP - 452
EP - 469
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
ER -
