Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band

02/13/2018
by   Sheraz Khan, et al.
0

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 (13-30Hz) and gamma (31-80Hz) 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.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 6

page 25

page 26

page 27

page 28

page 29

02/04/2020

Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals

Declarative memory has been studied for its relationship with rememberin...
07/01/2020

Employing WiFi Direct to Build a Wireless Network over both 2.4 GHz and 5.8 GHz bands

Almost all the WiFi networks today provide single band (either 2.4 GHz o...
06/20/2019

A Flexible Pipeline for Prediction of Tropical Cyclone Paths

Hurricanes and, more generally, tropical cyclones (TCs) are rare, comple...
12/27/2021

An EEG-based approach for Parkinson's disease diagnosis using Capsule network

As the second most common neurodegenerative disease, Parkinson's disease...
05/27/2010

Improving GPS/INS Integration through Neural Networks

The Global Positioning Systems (GPS) and Inertial Navigation System (INS...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.