TY - JOUR
T1 - Age-related differences in resting-state functional connectivity from childhood to adolescence
AU - Sanders, Ashley F.P.
AU - Harms, Michael P.
AU - Kandala, Sridhar
AU - Marek, Scott
AU - Somerville, Leah H.
AU - Bookheimer, Susan Y.
AU - Dapretto, Mirella
AU - Thomas, Kathleen M.
AU - Van Essen, David C.
AU - Yacoub, Essa
AU - Barch, Deanna M.
N1 - Publisher Copyright:
© The Author(s) 2023. Published by Oxford University Press. All rights reserved.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - The human brain is active at rest, and spontaneous fluctuations in functional MRI BOLD signals reveal an intrinsic functional architecture. During childhood and adolescence, functional networks undergo varying patterns of maturation, and measures of functional connectivity within and between networks differ as a function of age. However, many aspects of these developmental patterns (e.g. trajectory shape and directionality) remain unresolved. In the present study, we characterised age-related differences in within- and between-network resting-state functional connectivity (rsFC) and integration (i.e. participation coefficient, PC) in a large cross-sectional sample of children and adolescents (n = 628) aged 8–21 years from the Lifespan Human Connectome Project in Development. We found evidence for both linear and non-linear differences in cortical, subcortical, and cerebellar rsFC, as well as integration, that varied by age. Additionally, we found that sex moderated the relationship between age and putamen integration where males displayed significant age-related increases in putamen PC compared with females. Taken together, these results provide evidence for complex, non-linear differences in some brain systems during development.
AB - The human brain is active at rest, and spontaneous fluctuations in functional MRI BOLD signals reveal an intrinsic functional architecture. During childhood and adolescence, functional networks undergo varying patterns of maturation, and measures of functional connectivity within and between networks differ as a function of age. However, many aspects of these developmental patterns (e.g. trajectory shape and directionality) remain unresolved. In the present study, we characterised age-related differences in within- and between-network resting-state functional connectivity (rsFC) and integration (i.e. participation coefficient, PC) in a large cross-sectional sample of children and adolescents (n = 628) aged 8–21 years from the Lifespan Human Connectome Project in Development. We found evidence for both linear and non-linear differences in cortical, subcortical, and cerebellar rsFC, as well as integration, that varied by age. Additionally, we found that sex moderated the relationship between age and putamen integration where males displayed significant age-related increases in putamen PC compared with females. Taken together, these results provide evidence for complex, non-linear differences in some brain systems during development.
KW - brain development
KW - generalised additive models
KW - participation coefficient
KW - resting-state functional connectivity
KW - sex differences
UR - http://www.scopus.com/inward/record.url?scp=85160966719&partnerID=8YFLogxK
U2 - 10.1093/cercor/bhad011
DO - 10.1093/cercor/bhad011
M3 - Article
C2 - 36724055
AN - SCOPUS:85160966719
SN - 1047-3211
VL - 33
SP - 6928
EP - 6942
JO - Cerebral Cortex
JF - Cerebral Cortex
IS - 11
ER -