Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach

Imbalance of Functional Connectivity and Temporal Entropy in Resting-State Networks in Autism Spectrum Disorder: A Machine Learning Approach

Background: Two approaches to understanding the etiology of neurodevelopmental disorders such as Autism Spectrum Disorder (ASD) involve network level functional connectivity (FC) and the dynamics of neuronal signaling. The former approach has revealed both increased and decreased FC in individuals w...

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Bibliographic Details
Main Authors: Robert X. Smith, Kay Jann, Mirella Dapretto, Danny J. J. Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-11-01
Series:Frontiers in Neuroscience
Subjects:
complexity
resting-state
fMRI
connectivity
dynamics
Autism Spectrum Disorders
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00869/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00869/full

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