Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects

Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects

With the increasing use of functional brain network properties as markers of brain disorders, efficient visualization and evaluation methods have become essential. Eigenvector centrality mapping (ECM) of functional MRI (fMRI) data enables the representation of per-node graph theoretical measures as...

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Bibliographic Details
Main Author: Alle Meije Wink
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neuroscience
Subjects:
graph theory – graph algorithms
trees
functional MRI (fMRI) methods
imaging studies
age-related
gender-related
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00648/full

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https://www.frontiersin.org/article/10.3389/fnins.2019.00648/full

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