Identifying Depressed Essential Tremor Using Resting-State Voxel-Wise Global Brain Connectivity: A Multivariate Pattern Analysis

Identifying Depressed Essential Tremor Using Resting-State Voxel-Wise Global Brain Connectivity: A Multivariate Pattern Analysis

Background and Objective: Although depression is one of the most common non-motor symptoms in essential tremor (ET), its pathogenesis and diagnosis biomarker are still unknown. Recently, machine learning multivariate pattern analysis (MVPA) combined with connectivity mapping of resting-state fMRI ha...

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Bibliographic Details
Main Authors: Yufen Li, Li Tao, Huiyue Chen, Hansheng Wang, Xiaoyu Zhang, Xueyan Zhang, Xiyue Duan, Zhou Fang, Qin Li, Wanlin He, Fajin Lv, Jin Luo, Zheng Xiao, Jun Cao, Weidong Fang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Human Neuroscience
Subjects:
essential tremor
depression
multivariate pattern analysis
global brain connectivity
resting-state functional magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.736155/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2021.736155/full

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