Functional Network-Based Statistics Reveal Abnormal Resting-State Functional Connectivity in Minimal Hepatic Encephalopathy

Functional Network-Based Statistics Reveal Abnormal Resting-State Functional Connectivity in Minimal Hepatic Encephalopathy

Purpose: Whole-brain functional network analysis is an emerging methodology for exploring the mechanisms underlying hepatic encephalopathy (HE). This study aimed to identify the brain subnetwork that is significantly altered within the functional connectome in minimal HE (MHE), the earliest stage of...

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Bibliographic Details
Main Authors: Chuanyin Zhan, Hua-Jun Chen, Yong-Qing Gao, Tian-Xiu Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Neurology
Subjects:
minimal hepatic encephalopathy
resting-state functional magnetic resonance imaging
brain functional network
cognitive impairment
network based statistic
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.00033/full

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