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Cortical Thickness Trajectories across the Lifespan: Data from 17,075 healthy individuals aged 3-90 years

Authors :
Stefan Ehrlich
Danai Dima
Nhat Trung Doan
Simon E. Fisher
Dominik Grotegerd
Nicholas G. Martin
Tiffany M. Chaim-Avancini
Sophie Maingault
Sean N. Hatton
Derrek P. Hibar
Vincent P. Clark
Anders M. Dale
Iris E. C. Sommer
Ben J. Harrison
Annabella Di Giorgio
Benedicto Crespo-Facorro
Ian H. Gotlib
Andrew J. Kalnin
Andreas Reif
Edith Pomarol-Clotet
Thomas Espeseth
Theodore D. Satterthwaite
Pieter J. Hoekstra
René S. Kahn
Margaret J. Wright
Núria Bargalló
Maria J. Portella
Thomas Frodl
Lianne Schmaal
Chaim Huyser
Sophia I. Thomopoulos
Odille A van den Heuvel
Rachel M. Brouwer
Rachel E. Gur
Stefan Borgwardt
Marise W. J. Machielsen
Kathryn I. Alpert
Dick J. Veltman
Sim Kang
Irina V. Lebedeva
Marcus V. Zanetti
Anne Uhlmann
Christopher R.K. Ching
John D. West
Paul Pauli
Susanne Erk
Xavier Caseras
Kun Yang
Randy L. Buckner
Julian N. Trollor
Katharina Wittfeld
Fabrice Crivello
Theo G.M. van Erp
Luisa Lázaro
Jan Egil Nordvik
Sarah Baumeister
Steven G. Potkin
Calhoun Vd
Ian B. Hickie
Giulio Pergola
Henrik Walter
Katie L. McMahon
Theophilus N. Akudjedu
Patricia J. Conrod
Nic J.A. van der Wee
Won Hee Lee
Dennis van 't Ent
Barbara Franke
Knut Schnell
Josiane Bourque
Matthew D. Sacchet
Perminder S. Sachdev
Esther Walton
Raymond Salvador
Colm McDonald
Gunter Schumann
Paul M. Thompson
Georg C. Ziegler
Erin W. Dickie
Christine Lochner
Andreas Meyer-Lindenberg
Eco J. C. de Geus
Ole A. Andreassen
Joshua L. Roffman
Oliver Grimm
Andrew M. McIntosh
Ryota Kanai
Mauricio H. Serpa
Dennis van den Meer
Jessica A. Turner
Simon Cervenka
Alexander Tomyshev
Lara M. Wierenga
Francisco X. Castellanos
Bernd Kramer
Erlend S. Dørum
Alessandro Bertolino
P. G. P. Rosa
Avram J. Holmes
Klaus-Peter Lesch
Norbert Hosten
Hilleke E. Hulshoff Pol
Jean-Paul Fouche
Neda Jahanshad
Daniel Brandeis
José M. Menchón
Jiyang Jiang
Jan K. Buitelaar
Andrew J. Saykin
Genevieve McPhilemy
Efstathios Papachristou
Hans-Jörgen Grabe
Bernd Weber
Beng-Choon Ho
Pablo Najt
Fleur M. Howells
Yannis Paloyelis
Lieuwe de Haan
Lachlan T. Strike
Dag Alnæs
David Mataix-Cols
Henry Völzke
Daniel H. Wolf
Suzanne C. Swagerman
Paola Fuentes-Claramonte
Marieke Klein
Patricia Gruner
Anthony A. James
Ingrid Agartz
Dara M. Cannon
Jim Lagopoulos
Geraldo F. Busatto
Tomohiro Nakao
Dan J. Stein
Gaelle E Doucet
Erick J. Canales-Rodríguez
Cristopher Davey
Tatyana P Klushnik
Jaap Oosterlaan
Ilya M. Veer
Steven Williams
Bernard Mazoyer
Helena Fatouros-Bergman
Yulyia Yoncheva
Ramona Baur-Streubel
Anouk den Braber
Nynke A. Groenewold
Salvador Sarró
Ignacio Martínez-Zalacaín
Sanne Koops
M. Aghajani
Lei Wang
Sarah E. Medland
C.A. Hartman
Aurora Bonvino
Pascual Sánchez-Juan
Andreas Heinz
Tobias Banaschewski
Amirhossein Modabbernia
Jilly Naaijen
Yang Wang
Sophia Frangou
Henry Brodaty
Henk Temmingh
Greig I. de Zubicaray
Nancy C. Andreasen
Carles Soriano-Mas
Neeltje E.M. van Haren
Brenna C. McDonald
Ruben C. Gur
Micael Andersson
Dorret I. Boomsma
Dirk J. Heslenfeld
Erik G. Jönsson
Oliver Gruber
Víctor Ortiz-García de la Foz
Anton Albajes-Eizagirre
David C. Glahn
Alan Breier
Heather C. Whalley
Jordan W. Smoller
Joaquim Radua
Christian K. Tamnes
Eveline A. Crone
Philip Asherson
John A. Joska
Wei Wen
Jonna Kuntsi
Lars Nyberg
Thomas H. Wassink
Diana Tordesillas-Gutiérrez
Martine Hoogman
Lars T. Westlye
Annette Conzelmann
Sarah Hohmann
Laura Koenders
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Delineating age-related cortical trajectories in healthy individuals is critical given the association of cortical thickness with cognition and behaviour. Previous research has shown that deriving robust estimates of age-related brain morphometric changes requires large-scale studies. In response, we conducted a large-scale analysis of cortical thickness in 17,075 individuals aged 3-90 years by pooling data through the Lifespan Working group of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium. We used fractional polynomial (FP) regression to characterize age-related trajectories in cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma (LMS) method. Inter-individual variability was estimated using meta-analysis and one-way analysis of variance. Overall, cortical thickness peaked in childhood and had a steep decrease during the first 2-3 decades of life; thereafter, it showed a gradual monotonic decrease which was steeper in men than in women particularly in middle-life. Notable exceptions to this general pattern were entorhinal, temporopolar and anterior cingulate cortices. Inter-individual 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 reconcile uncertainties about age-related trajectories of cortical thickness; the centile values provide estimates of normative variance in cortical thickness, and may assist in detecting abnormal deviations in cortical thickness, and associated behavioural, cognitive and clinical outcomes.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....948524ee9850777d3bcbd047efc8a582
Full Text :
https://doi.org/10.1101/2020.05.05.077834