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Frontoparietal and default mode network connectivity varies with age and intelligence

Authors :
Mariah DeSerisy
Bruce Ramphal
David Pagliaccio
Elizabeth Raffanello
Gregory Tau
Rachel Marsh
Jonathan Posner
Amy E. Margolis
Source :
Developmental Cognitive Neuroscience, Vol 48, Iss , Pp 100928- (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Background: Anticorrelated resting state connectivity between task-positive and task-negative networks in adults supports flexible shifting between externally focused attention and internal thought. Findings suggest that children show positive correlations between task-positive (frontoparietal; FP) and task-negative (default mode; DMN) networks. FP-DMN connectivity also associates with intellectual functioning across the lifespan. We investigated whether FP-DMN connectivity in healthy children varied with age and intelligence quotient (IQ). Methods: We utilized network-based statistics (NBS) to examine resting state functional connectivity between FP and DMN seeds in N = 133 7−25-year-olds (Mage = 15.80). Linear regression evaluated FP-DMN associations with IQ. Results: We detected NBS subnetworks containing both within- and between-network connections that were inversely associated with age. Four FP-DMN connections showed more negative connectivity between FP (inferior frontal gyrus and precentral gyrus) and DMN regions (frontal medial cortex, precuneus, and frontal pole) among older participants. Frontal pole-precentral gyrus connectivity inversely associated with IQ. Conclusions: FP-DMN connectivity was more anticorrelated at older ages, potentially indicating dynamic network segregation of these circuits from childhood to early adulthood. Youth with more mature (i.e., anticorrelated) FP-DMN connectivity demonstrated higher IQ. Our findings add to the growing body of literature examining neural network development and its association with IQ.

Details

Language :
English
ISSN :
18789293
Volume :
48
Issue :
100928-
Database :
Directory of Open Access Journals
Journal :
Developmental Cognitive Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.5de7c8173974bb7b73df47898a3509f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dcn.2021.100928