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

作者：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 · 发表于：Frontiers in Neuroscience · 年份：2023 · DOI：10.3389/fnins.2023.1143239 · 被引用次数：17 · 研究领域：Acupuncture Treatment Research Studies、Functional Brain Connectivity Studies、Stroke Rehabilitation and Recovery

Objective Motor 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 predict the classification of the minimal clinically important differences (MCID) for motor improvement and identify the neuroimaging features, in order to explore brain functional reorganization and acupuncture mechanisms for motor recovery after stroke. Methods In this study, 49 patients with unilateral motor pathway injury (basal ganglia and/or corona radiata) after ischemic stroke were included and evaluated the motor function by Fugl–Meyer Assessment scores (FMA) at baseline and at 2-week follow-up sessions. Patients were divided by the difference between the twice FMA scores into one group showing minimal clinically important difference (MCID group, n = 28) and the other group with no minimal clinically important difference (N-MCID, n = 21). Machine learning was performed by PRoNTo software to predict the classification of the patients and identify the feature brain regions of interest (ROIs). In addition, a matched group of healthy controls (HC, n = 26) was enrolled. Patients and HC underwent magnetic resonance imaging examination in the resting state and in the acupuncture state (acupuncture at the Yanglingquan point on one side) to compare the differences in brain functional...