학술논문

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years
Document Type
article
Author
Frangou, SophiaModabbernia, AmirhosseinWilliams, Steven CRPapachristou, EfstathiosDoucet, Gaelle EAgartz, IngridAghajani, MojiAkudjedu, Theophilus NAlbajes‐Eizagirre, AntonAlnæs, DagAlpert, Kathryn IAndersson, MicaelAndreasen, Nancy CAndreassen, Ole AAsherson, PhilipBanaschewski, TobiasBargallo, NuriaBaumeister, SarahBaur‐Streubel, RamonaBertolino, AlessandroBonvino, AuroraBoomsma, Dorret IBorgwardt, StefanBourque, JosianeBrandeis, DanielBreier, AlanBrodaty, HenryBrouwer, Rachel MBuitelaar, Jan KBusatto, Geraldo FBuckner, Randy LCalhoun, VincentCanales‐Rodríguez, Erick JCannon, Dara MCaseras, XavierCastellanos, Francisco XCervenka, SimonChaim‐Avancini, Tiffany MChing, Christopher RKChubar, VictoriaClark, Vincent PConrod, PatriciaConzelmann, AnnetteCrespo‐Facorro, BenedictoCrivello, FabriceCrone, Eveline ADale, Anders MDannlowski, UdoDavey, ChristopherGeus, Eco JCHaan, LieuweZubicaray, Greig IBraber, AnoukDickie, Erin WDi Giorgio, AnnabellaDoan, Nhat TrungDørum, Erlend SEhrlich, StefanErk, SusanneEspeseth, ThomasFatouros‐Bergman, HelenaFisher, Simon EFouche, Jean‐PaulFranke, BarbaraFrodl, ThomasFuentes‐Claramonte, PaolaGlahn, David CGotlib, Ian HGrabe, Hans‐JörgenGrimm, OliverGroenewold, Nynke AGrotegerd, DominikGruber, OliverGruner, PatriciaGur, Rachel EGur, Ruben CHahn, TimHarrison, Ben JHartman, Catharine AHatton, Sean NHeinz, AndreasHeslenfeld, Dirk JHibar, Derrek PHickie, Ian BHo, Beng‐ChoonHoekstra, Pieter JHohmann, SarahHolmes, Avram JHoogman, MartineHosten, NorbertHowells, Fleur MPol, Hilleke E HulshoffHuyser, ChaimJahanshad, NedaJames, AnthonyJernigan, Terry LJiang, JiyangJönsson, Erik GJoska, John AKahn, Rene
Source
Human Brain Mapping. 43(1)
Subject
Behavioral and Social Science
Neurosciences
Aging
Adolescent
Adult
Aged
Aged
80 and over
Cerebral Cortex
Child
Child
Preschool
Cross-Sectional Studies
Female
Human Development
Humans
Male
Middle Aged
Neuroimaging
Young Adult
aging
cortical thickness
development
trajectories
Karolinska Schizophrenia Project
Cognitive Sciences
Experimental Psychology
Language
Abstract
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.