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Maturation trajectories of cortical resting-state networks depend on the mediating frequency band.

Accepted version
Peer-reviewed

Type

Article

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Authors

Khan, Sheraz 
Hashmi, Javeria A 
Mamashli, Fahimeh 
Michmizos, Konstantinos 
Kitzbichler, Manfred G 

Abstract

The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to undergo substantial reorganization from childhood to adulthood, but whether distinct cortical rhythms, which are generated by separable neural mechanisms and are often manifested abnormally in psychiatric conditions, mediate maturation differentially, remains unknown. Using magnetoencephalography (MEG) to map frequency band specific maturation of resting state networks from age 7 to 29 in 162 participants (31 independent), we found significant changes with age in networks mediated by the beta (13-30 Hz) and gamma (31-80 Hz) bands. More specifically, gamma band mediated networks followed an expected asymptotic trajectory, but beta band mediated networks followed a linear trajectory. Network integration increased with age in gamma band mediated networks, while local segregation increased with age in beta band mediated networks. Spatially, the hubs that changed in importance with age in the beta band mediated networks had relatively little overlap with those that showed the greatest changes in the gamma band mediated networks. These findings are relevant for our understanding of the neural mechanisms of cortical maturation, in both typical and atypical development.

Description

Keywords

Brain connectivity, Development, Graph theory, Magnetoencephalography, Rhythms, Adolescent, Adult, Aging, Beta Rhythm, Brain Mapping, Cerebral Cortex, Child, Female, Gamma Rhythm, Humans, Machine Learning, Magnetic Resonance Imaging, Magnetoencephalography, Male, Neural Pathways, Young Adult

Journal Title

Neuroimage

Conference Name

Journal ISSN

1053-8119
1095-9572

Volume Title

174

Publisher

Elsevier BV