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

Author:

Sanders Ashley F P1ORCID,Harms Michael P1,Kandala Sridhar1,Marek Scott2,Somerville Leah H3,Bookheimer Susan Y4,Dapretto Mirella4,Thomas Kathleen M5,Van Essen David C6,Yacoub Essa7,Barch Deanna M18

Affiliation:

1. Department of Psychiatry, Washington University School of Medicine , St Louis, MO 63110 , USA

2. Department of Radiology, Washington University School of Medicine , St Louis, MO 63119 , USA

3. Department of Psychology and Center for Brain Science, Harvard University , Cambridge, MA 02138 , USA

4. Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles School of Medicine , Los Angeles, CA 90095 , USA

5. Institute of Child Development, University of Minnesota , Minneapolis, MN 55455 , USA

6. Department of Neuroscience, Washington University School of Medicine , St Louis, MO 63110 , USA

7. Center for Magnetic Resonance Research, University of Minnesota , Minneapolis, MN 55455 , USA

8. Department of Psychological and Brain Sciences, Washington University , St Louis, MO 63130 , USA

Abstract

AbstractThe 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.

Funder

Human Connectome During Typical Development

Connectome Coordination Facility I

Connectome Coordination Facility II

McDonnel Center for Systems Neuroscience at Washington University

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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