TY - JOUR
T1 - Cortical thickness across the lifespan
T2 - Data from 17,075 healthy individuals aged 3–90 years
AU - Karolinska Schizophrenia Project (KaSP)
AU - Frangou, Sophia
AU - Modabbernia, Amirhossein
AU - Williams, Steven C.R.
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 - Dale, Anders M.
AU - Dannlowski, Udo
AU - Davey, Christopher
AU - de Geus, Eco J.C.
AU - de Haan, Lieuwe
AU - de Zubicaray, Greig I.
AU - den Braber, Anouk
AU - Dickie, Erin W.
AU - Di Giorgio, Annabella
AU - Doan, Nhat Trung
AU - Dørum, Erlend S.
AU - Ehrlich, Stefan
AU - Erk, Susanne
AU - Espeseth, Thomas
AU - Fatouros-Bergman, Helena
AU - Fisher, Simon E.
AU - Fouche, Jean Paul
AU - Franke, Barbara
AU - Frodl, Thomas
AU - Fuentes-Claramonte, Paola
AU - Glahn, David C.
AU - Gotlib, Ian H.
AU - Grabe, Hans Jörgen
AU - Grimm, Oliver
AU - Groenewold, Nynke A.
AU - Grotegerd, Dominik
AU - Gruber, Oliver
AU - Gruner, Patricia
AU - Gur, Rachel E.
AU - Gur, Ruben C.
AU - Hahn, Tim
AU - Harrison, Ben J.
AU - Hartman, Catharine A.
AU - Hatton, Sean N.
AU - Heinz, Andreas
AU - Heslenfeld, Dirk J.
AU - Hibar, Derrek P.
AU - Hickie, Ian B.
AU - Ho, Beng Choon
AU - Hoekstra, Pieter J.
AU - Hohmann, Sarah
AU - Holmes, Avram J.
AU - Hoogman, Martine
AU - Hosten, Norbert
AU - Howells, Fleur M.
AU - Hulshoff Pol, Hilleke E.
AU - Huyser, Chaim
AU - Jahanshad, Neda
AU - James, Anthony
AU - Jernigan, Terry L.
AU - Jiang, Jiyang
AU - Jönsson, Erik G.
AU - Joska, John A.
AU - McDonald, Colm
N1 - Publisher Copyright:
© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2022/1
Y1 - 2022/1
N2 - Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
AB - Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
KW - aging
KW - cortical thickness
KW - development
KW - trajectories
UR - https://www.scopus.com/pages/publications/85101007703
U2 - 10.1002/hbm.25364
DO - 10.1002/hbm.25364
M3 - Article
C2 - 33595143
AN - SCOPUS:85101007703
SN - 1065-9471
VL - 43
SP - 431
EP - 451
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
ER -