Neuroimaging mechanisms of acupuncture on functional reorganization for post-stroke motor improvement: a machine learning-based functional magnetic resonance imaging study

Neuroimaging mechanisms of acupuncture on functional reorganization for post-stroke motor improvement: a machine learning-based functional magnetic resonance imaging study

ObjectiveMotor recovery is crucial in stroke rehabilitation, and acupuncture can influence recovery. Neuroimaging and machine learning approaches provide new research directions to explore the brain functional reorganization and acupuncture mechanisms after stroke. We applied machine learning to pre...

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Bibliographic Details
Main Authors: Mengxin Lu, Zhongming Du, Jiping Zhao, Lan Jiang, Ruoyi Liu, Muzhao Zhang, Tianjiao Xu, Jingpei Wei, Wei Wang, Lingling Xu, Haijiao Guo, Chen Chen, Xin Yu, Zhongjian Tan, Jiliang Fang, Yihuai Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Neuroscience
Subjects:
stroke
motor recovery
minimal clinically important difference (MCID)
acupuncture
machine learning
fMRI
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1143239/full

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