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

D. Dima; A. Modabbernia; E. Papachristou; G.E. Doucet; I. Agartz; M. Aghajani; T.N. Akudjedu; A. Albajes-Eizagirre; D. Alnaes; K.I. Alpert; M. Andersson; N.C. Andreasen; O.A. Andreassen; P. Asherson; T. Banaschewski; N. Bargallo; S. Baumeister; R. Baur-Streubel; A. Bertolino; A. Bonvino; D.I. Boomsma; S. Borgwardt; J. Bourque; D. Brandeis; A. Breier; H. Brodaty; R.M. Brouwer; J.K. Buitelaar; G.F. Busatto; R.L. Buckner; V. Calhoun; E.J. Canales-Rodriguez; D.M. Cannon; X. Caseras; F.X. Castellanos; S. Cervenka; T.M. Chaim-Avancini; C.R.K. Ching; V. Chubar; V.P. Clark; P. Conrod; A. Conzelmann; B. Crespo-Facorro; F. Crivello; E.A. Crone; A.M. Dale; C. Davey; E.J.C. de Geus; L. de Haan; G.I. de Zubicaray; Dennis van der Meer; Sophia Frangou; Karolinska Schizophrenia Project KaSP

doi:10.1002/hbm.25320

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

D. Dima^*, A. Modabbernia, E. Papachristou, G.E. Doucet, I. Agartz, M. Aghajani, T.N. Akudjedu, A. Albajes-Eizagirre, D. Alnaes, K.I. Alpert, M. Andersson, N.C. Andreasen, O.A. Andreassen, P. Asherson, T. Banaschewski, N. Bargallo, S. Baumeister, R. Baur-Streubel, A. Bertolino, A. BonvinoD.I. Boomsma, S. Borgwardt, J. Bourque, D. Brandeis, A. Breier, H. Brodaty, R.M. Brouwer, J.K. Buitelaar, G.F. Busatto, R.L. Buckner, V. Calhoun, E.J. Canales-Rodriguez, D.M. Cannon, X. Caseras, F.X. Castellanos, S. Cervenka, T.M. Chaim-Avancini, C.R.K. Ching, V. Chubar, V.P. Clark, P. Conrod, A. Conzelmann, B. Crespo-Facorro, F. Crivello, E.A. Crone, A.M. Dale, C. Davey, E.J.C. de Geus, L. de Haan, G.I. de Zubicaray, Dennis van der Meer, Sophia Frangou^*, Karolinska Schizophrenia Project KaSP

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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.

Original language	English
Pages (from-to)	452-469
Number of pages	18
Journal	Human Brain Mapping
Volume	43
Issue number	1
Early online date	11 Feb 2021
DOIs	https://doi.org/10.1002/hbm.25320
Publication status	Published - Jan 2022

Keywords

brain morphometry
enigma
longitudinal trajectories
multisite
ENIGMA

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Dima, D., Modabbernia, A., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. N., Albajes-Eizagirre, A., Alnaes, D., Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., ... Karolinska Schizophrenia Project KaSP (2022). Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years. Human Brain Mapping, 43(1), 452-469. https://doi.org/10.1002/hbm.25320

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

abstract = "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.",

keywords = "brain morphometry, enigma, longitudinal trajectories, multisite, ENIGMA",

author = "D. Dima and A. Modabbernia and E. Papachristou and G.E. Doucet and I. Agartz and M. Aghajani and T.N. Akudjedu and A. Albajes-Eizagirre and D. Alnaes and K.I. Alpert and M. Andersson and N.C. Andreasen and O.A. Andreassen and P. Asherson and T. Banaschewski and N. Bargallo and S. Baumeister and R. Baur-Streubel and A. Bertolino and A. Bonvino and D.I. Boomsma and S. Borgwardt and J. Bourque and D. Brandeis and A. Breier and H. Brodaty and R.M. Brouwer and J.K. Buitelaar and G.F. Busatto and R.L. Buckner and V. Calhoun and E.J. Canales-Rodriguez and D.M. Cannon and X. Caseras and F.X. Castellanos and S. Cervenka and T.M. Chaim-Avancini and C.R.K. Ching and V. Chubar and V.P. Clark and P. Conrod and A. Conzelmann and B. Crespo-Facorro and F. Crivello and E.A. Crone and A.M. Dale and C. Davey and {de Geus}, E.J.C. and {de Haan}, L. and {de Zubicaray}, G.I. and {van der Meer}, Dennis and Sophia Frangou and {Karolinska Schizophrenia Project KaSP}",

year = "2022",

month = jan,

doi = "10.1002/hbm.25320",

language = "English",

volume = "43",

pages = "452--469",

journal = "Human Brain Mapping",

issn = "1065-9471",

publisher = "Wiley",

number = "1",

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Dima, D, Modabbernia, A, Papachristou, E, Doucet, GE, Agartz, I, Aghajani, M, Akudjedu, TN, Albajes-Eizagirre, A, Alnaes, D, Alpert, KI, Andersson, M, Andreasen, NC, Andreassen, OA, Asherson, P, Banaschewski, T, Bargallo, N, Baumeister, S, Baur-Streubel, R, Bertolino, A, Bonvino, A, Boomsma, DI, Borgwardt, S, Bourque, J, Brandeis, D, Breier, A, Brodaty, H, Brouwer, RM, Buitelaar, JK, Busatto, GF, Buckner, RL, Calhoun, V, Canales-Rodriguez, EJ, Cannon, DM, Caseras, X, Castellanos, FX, Cervenka, S, Chaim-Avancini, TM, Ching, CRK, Chubar, V, Clark, VP, Conrod, P, Conzelmann, A, Crespo-Facorro, B, Crivello, F, Crone, EA, Dale, AM, Davey, C, de Geus, EJC, de Haan, L, de Zubicaray, GI, van der Meer, D, Frangou, S & Karolinska Schizophrenia Project KaSP 2022, 'Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years', Human Brain Mapping, vol. 43, no. 1, pp. 452-469. https://doi.org/10.1002/hbm.25320

TY - JOUR

T1 - Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

AU - Dima, D.

AU - Modabbernia, A.

AU - Papachristou, E.

AU - Doucet, G.E.

AU - Agartz, I.

AU - Aghajani, M.

AU - Akudjedu, T.N.

AU - Albajes-Eizagirre, A.

AU - Alnaes, D.

AU - Alpert, K.I.

AU - Andersson, M.

AU - Andreasen, N.C.

AU - Andreassen, O.A.

AU - Asherson, P.

AU - Banaschewski, T.

AU - Bargallo, N.

AU - Baumeister, S.

AU - Baur-Streubel, R.

AU - Bertolino, A.

AU - Bonvino, A.

AU - Boomsma, D.I.

AU - Borgwardt, S.

AU - Bourque, J.

AU - Brandeis, D.

AU - Breier, A.

AU - Brodaty, H.

AU - Brouwer, R.M.

AU - Buitelaar, J.K.

AU - Busatto, G.F.

AU - Buckner, R.L.

AU - Calhoun, V.

AU - Canales-Rodriguez, E.J.

AU - Cannon, D.M.

AU - Caseras, X.

AU - Castellanos, F.X.

AU - Cervenka, S.

AU - Chaim-Avancini, T.M.

AU - Ching, C.R.K.

AU - Chubar, V.

AU - Clark, V.P.

AU - Conrod, P.

AU - Conzelmann, A.

AU - Crespo-Facorro, B.

AU - Crivello, F.

AU - Crone, E.A.

AU - Dale, A.M.

AU - Davey, C.

AU - de Geus, E.J.C.

AU - de Haan, L.

AU - de Zubicaray, G.I.

AU - van der Meer, Dennis

AU - Frangou, Sophia

AU - Karolinska Schizophrenia Project KaSP

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.

KW - brain morphometry

KW - enigma

KW - longitudinal trajectories

KW - multisite

KW - ENIGMA

U2 - 10.1002/hbm.25320

DO - 10.1002/hbm.25320

M3 - Article

C2 - 33570244

SN - 1065-9471

VL - 43

SP - 452

EP - 469

JO - Human Brain Mapping

JF - Human Brain Mapping

IS - 1

ER -

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

Abstract

Keywords

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