TY - JOUR
T1 - Developmental trajectories of cortical thickness by functional brain network
T2 - The roles of pubertal timing and socioeconomic status
AU - Sanders, Ashley F.P.
AU - Baum, Graham L.
AU - Harms, Michael P.
AU - Kandala, Sridhar
AU - Bookheimer, Susan Y.
AU - Dapretto, Mirella
AU - Somerville, Leah H.
AU - Thomas, Kathleen M.
AU - Van Essen, David C.
AU - Yacoub, Essa
AU - Barch, Deanna M.
N1 - Funding Information:
Research reported in this publication was supported by the National Institutes of Mental Health grants HCP-D: Mapping the Human Connectome During Typical Development ( U01MH109589 ), Connectome Coordination Facility I ( 5R24MH108315-05 ), Connectome Coordination Facility II ( 1R24MH122820-01 ), the McDonnell Center for Systems Neuroscience at Washington, and by the Office of the Provost at Washington University . AFPS was supported by the National Institutes of Health grants T32 MH100019 (PIs: Joan L. Luby and Deanna M. Barch at Washington University in St. Louis).
Publisher Copyright:
© 2022
PY - 2022/10
Y1 - 2022/10
N2 - The human cerebral cortex undergoes considerable changes during development, with cortical maturation patterns reflecting regional heterogeneity that generally progresses in a posterior-to-anterior fashion. However, the organizing principles that govern cortical development remain unclear. In the current study, we characterized age-related differences in cortical thickness (CT) as a function of sex, pubertal timing, and two dissociable indices of socioeconomic status (i.e., income-to-needs and maternal education) in the context of functional brain network organization, using a cross-sectional sample (n = 789) diverse in race, ethnicity, and socioeconomic status from the Lifespan Human Connectome Project in Development (HCP-D). We found that CT generally followed a linear decline from 5 to 21 years of age, except for three functional networks that displayed nonlinear trajectories. We found no main effect of sex or age by sex interaction for any network. Earlier pubertal timing was associated with reduced mean CT and CT in seven networks. We also found a significant age by maternal education interaction for mean CT across cortex and CT in the dorsal attention network, where higher levels of maternal education were associated with steeper age-related decreases in CT. Taken together, our results suggest that these biological and environmental variations may impact the emerging functional connectome.
AB - The human cerebral cortex undergoes considerable changes during development, with cortical maturation patterns reflecting regional heterogeneity that generally progresses in a posterior-to-anterior fashion. However, the organizing principles that govern cortical development remain unclear. In the current study, we characterized age-related differences in cortical thickness (CT) as a function of sex, pubertal timing, and two dissociable indices of socioeconomic status (i.e., income-to-needs and maternal education) in the context of functional brain network organization, using a cross-sectional sample (n = 789) diverse in race, ethnicity, and socioeconomic status from the Lifespan Human Connectome Project in Development (HCP-D). We found that CT generally followed a linear decline from 5 to 21 years of age, except for three functional networks that displayed nonlinear trajectories. We found no main effect of sex or age by sex interaction for any network. Earlier pubertal timing was associated with reduced mean CT and CT in seven networks. We also found a significant age by maternal education interaction for mean CT across cortex and CT in the dorsal attention network, where higher levels of maternal education were associated with steeper age-related decreases in CT. Taken together, our results suggest that these biological and environmental variations may impact the emerging functional connectome.
KW - Brain development
KW - Brain networks
KW - Cortical thickness
KW - HCP
KW - Puberty
KW - Socioeconomic status
UR - http://www.scopus.com/inward/record.url?scp=85135886643&partnerID=8YFLogxK
U2 - 10.1016/j.dcn.2022.101145
DO - 10.1016/j.dcn.2022.101145
M3 - Article
C2 - 35944340
AN - SCOPUS:85135886643
SN - 1878-9293
VL - 57
JO - Developmental Cognitive Neuroscience
JF - Developmental Cognitive Neuroscience
M1 - 101145
ER -