Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis.
Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis.
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DOI：
10.1371/journal.pone.0278415
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
Li, Kuangshi
中科院分区：
文献类型：
--
作者：
Wu, Kang;Li, Yuanyuan;Zou, Yihuai;Ren, Yi;Wang, Yahui;Hu, Xiaojie;Wang, Yue;Chen, Chen;Lu, Mengxin;Xu, Lingling;Wu, Linlu;Li, Kuangshi
最新的慢性疲劳综合征（CFS）指南推荐运动疗法。据报道，太极是一种传统中医的锻炼方法，对CFS有帮助。然而，其机制仍不清楚。本纵向研究旨在检测太极拳对CFS功能性脑连接的影响。该研究招募了20名CFS患者和20名健康对照者，在一个月内接受了8次太极锻炼。在太极拳运动之前，通过线性支持向量模型产生用于识别CFS的异常功能性脑连接。用排列检验下的随机森林分类验证了该结构的预测能力。以疲劳量表-14、匹兹堡睡眠质量指数（PSQI）和36项简明健康调查问卷（SF-36）的变化作为临床疗效评价，分析太极拳运动后大规模脑网络中该结构的功能连接（FC）。在中国临床试验注册中心的注册号为ChiCTR 2000032577。1)CFS患者疲劳量表14评分显著降低，PSQI和SF-36评分与健康对照组相比均有显著性差异。2)60个FC被认为对区分CFS有意义（P = 0.000，最佳准确度90%），平均准确度为80.5% ± 9%。3)CFS患者太极拳运动后与左额顶网络（FPN）和默认模式网络（DMN）相关的FC显著增加（P = 0.0032和P = 0.001）。4)左FPN和DMN的FC变化呈正相关（r = 0.40，P = 0.012）。这些结果表明，我们使用机器学习发现的60个FC可以作为区分CFS患者和健康对照的神经生物标志物。太极拳运动可能通过加强这些FC下的左侧FPN和DMN的功能连接来改善CFS患者的疲劳综合征，睡眠质量和身体健康状况。研究结果促进了我们对太极拳运动在治疗CFS中的价值的理解。
The latest guidance on chronic fatigue syndrome (CFS) recommends exercise therapy. Tai Chi, an exercise method in traditional Chinese medicine, is reportedly helpful for CFS. However, the mechanism remains unclear. The present longitudinal study aimed to detect the influence of Tai Chi on functional brain connectivity in CFS. The study recruited 20 CFS patients and 20 healthy controls to receive eight sessions of Tai Chi exercise over a period of one month. Before the Tai Chi exercise, an abnormal functional brain connectivity for recognizing CFS was generated by a linear support vector model. The prediction ability of the structure was validated with a random forest classification under a permutation test. Then, the functional connections (FCs) of the structure were analyzed in the large-scale brain network after Tai Chi exercise while taking the changes in the Fatigue Scale-14, Pittsburgh Sleep Quality Index (PSQI), and the 36-item short-form health survey (SF-36) as clinical effectiveness evaluation. The registration number is ChiCTR2000032577 in the Chinese Clinical Trial Registry. 1) The score of the Fatigue Scale-14 decreased significantly in the CFS patients, and the scores of the PSQI and SF-36 changed significantly both in CFS patients and healthy controls. 2) Sixty FCs were considered significant to discriminate CFS (P = 0.000, best accuracy 90%), with 80.5% ± 9% average accuracy. 3) The FCs that were majorly related to the left frontoparietal network (FPN) and default mode network (DMN) significantly increased (P = 0.0032 and P = 0.001) in CFS patients after Tai Chi exercise. 4) The change of FCs in the left FPN and DMN were positively correlated (r = 0.40, P = 0.012). These results demonstrated that the 60 FCs we found using machine learning could be neural biomarkers to discriminate between CFS patients and healthy controls. Tai Chi exercise may improve CFS patients’ fatigue syndrome, sleep quality, and body health statement by strengthening the functional connectivity of the left FPN and DMN under these FCs. The findings promote our understanding of Tai Chi exercise’s value in treating CFS.
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