TY - JOUR
T1 - Greater male than female variability in regional brain structure across the lifespan
AU - Karolinska Schizophrenia Project (KaSP) Consortium
AU - Wierenga, Lara M
AU - Doucet, Gaelle E
AU - Dima, Danai
AU - Agartz, Ingrid
AU - Aghajani, Moji
AU - Akudjedu, Theophilus N
AU - Albajes-Eizagirre, Anton
AU - Alnaes, Dag
AU - Alpert, Kathryn I
AU - Andreassen, Ole A
AU - Anticevic, Alan
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 - den Braber, Anouk
AU - Brandeis, Daniel
AU - Breier, Alan
AU - Brodaty, Henry
AU - Brouwer, Rachel M
AU - Buitelaar, Jan K
AU - Busatto, Geraldo F
AU - Calhoun, Vince D
AU - Canales-Rodríguez, Erick J
AU - Cannon, Dara M
AU - Caseras, Xavier
AU - Castellanos, Francisco X
AU - Chaim-Avancini, Tiffany M
AU - Ching, Christopher Rk
AU - Clark, Vincent P
AU - Conrod, Patricia J
AU - Conzelmann, Annette
AU - Crivello, Fabrice
AU - Davey, Christopher G
AU - Dickie, Erin W
AU - Ehrlich, Stefan
AU - Van't Ent, Dennis
AU - Fisher, Simon E
AU - Fouche, Jean-Paul
AU - Kuntsi, Jonna
AU - Paloyelis, Yannis
AU - Radua, Joaquim
AU - Simmons, Andrew
AU - Williams, Steven Cr
AU - Serpa, Mauricio
N1 - © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2020/10/12
Y1 - 2020/10/12
N2 - For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
AB - For many traits, males show greater variability than females, with possible implications for understanding sex differences in health and disease. Here, the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Consortium presents the largest-ever mega-analysis of sex differences in variability of brain structure, based on international data spanning nine decades of life. Subcortical volumes, cortical surface area and cortical thickness were assessed in MRI data of 16,683 healthy individuals 1-90 years old (47% females). We observed significant patterns of greater male than female between-subject variance for all subcortical volumetric measures, all cortical surface area measures, and 60% of cortical thickness measures. This pattern was stable across the lifespan for 50% of the subcortical structures, 70% of the regional area measures, and nearly all regions for thickness. Our findings that these sex differences are present in childhood implicate early life genetic or gene-environment interaction mechanisms. The findings highlight the importance of individual differences within the sexes, that may underpin sex-specific vulnerability to disorders.
UR - http://www.scopus.com/inward/record.url?scp=85092397145&partnerID=8YFLogxK
U2 - 10.1002/hbm.25204
DO - 10.1002/hbm.25204
M3 - Article
C2 - 33044802
SN - 1065-9471
JO - Human Brain Mapping
JF - Human Brain Mapping
ER -