Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI
Functional brain networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been widely used for Autism Spectrum Disorder (ASD) diagnosis. Typically, these networks are constructed by calculating functional connectivity (FC) between any pair of brain regions of interest...
Main Authors: | Feng Zhao, Han Zhang, Islem Rekik, Zhiyong An, Dinggang Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-05-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fnhum.2018.00184/full |
Similar Items
-
Test-Retest Reliability of “High-Order” Functional Connectivity in Young Healthy Adults
by: Han Zhang, et al.
Published: (2017-08-01) -
Sex Differences in Resting-State Functional Connectivity of the Cerebellum in Autism Spectrum Disorder
by: Rachel E. W. Smith, et al.
Published: (2019-04-01) -
Corrigendum: Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review
by: Jocelyn V. Hull, et al.
Published: (2018-06-01) -
Age related changes in striatal resting state functional connectivity in autism
by: Aarthi ePadmanabhan, et al.
Published: (2013-11-01) -
Cortico-cerebellar connectivity in Autism Spectrum Disorder: what do we know so far?
by: Alessandro eCrippa, et al.
Published: (2016-02-01)