Age-related differences in resting-state functional connectivity from childhood to adolescence

Ashley F.P. Sanders, Michael P. Harms, Sridhar Kandala, Scott Marek, Leah H. Somerville, Susan Y. Bookheimer, Mirella Dapretto, Kathleen M. Thomas, David C. Van Essen, Essa Yacoub, Deanna M. Barch

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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.

Original languageEnglish
Pages (from-to)6928-6942
Number of pages15
JournalCerebral Cortex
Issue number11
StatePublished - Jun 1 2023


  • brain development
  • generalised additive models
  • participation coefficient
  • resting-state functional connectivity
  • sex differences


Dive into the research topics of 'Age-related differences in resting-state functional connectivity from childhood to adolescence'. Together they form a unique fingerprint.

Cite this