Combined Intrinsic Local Functional Connectivity With Multivariate Pattern Analysis to Identify Depressed Essential Tremor

Combined Intrinsic Local Functional Connectivity With Multivariate Pattern Analysis to Identify Depressed Essential Tremor

BackgroundAlthough depression is one of the most common neuropsychiatric symptoms in essential tremor (ET), the diagnosis biomarker and intrinsic brain activity remain unclear. We aimed to combine multivariate pattern analysis (MVPA) with local brain functional connectivity to identify depressed ET....

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Bibliographic Details
Main Authors: Xueyan Zhang, Li Tao, Huiyue Chen, Xiaoyu Zhang, Hansheng Wang, Wanlin He, Qin Li, Fajin Lv, Tianyou Luo, Jin Luo, Yun Man, Zheng Xiao, Jun Cao, Weidong Fang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
essential tremor
depression
regional homogeneity
resting-state functional magnetic resonance imaging
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.847650/full

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https://www.frontiersin.org/articles/10.3389/fneur.2022.847650/full

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