Frontiers in Human Neuroscience (Mar 2024)
Influencing factors of corticomuscular coherence in stroke patients
- Zhixian Gao,
- Zhixian Gao,
- Zhixian Gao,
- Shiyang Lv,
- Shiyang Lv,
- Shiyang Lv,
- Xiangying Ran,
- Xiangying Ran,
- Xiangying Ran,
- Yuxi Wang,
- Yuxi Wang,
- Yuxi Wang,
- Mengsheng Xia,
- Mengsheng Xia,
- Mengsheng Xia,
- Junming Wang,
- Junming Wang,
- Junming Wang,
- Mengyue Qiu,
- Mengyue Qiu,
- Mengyue Qiu,
- Yinping Wei,
- Yinping Wei,
- Yinping Wei,
- Zhenpeng Shao,
- Zhenpeng Shao,
- Zhenpeng Shao,
- Zongya Zhao,
- Zongya Zhao,
- Zongya Zhao,
- Yehong Zhang,
- Yehong Zhang,
- Yehong Zhang,
- Xuezhi Zhou,
- Xuezhi Zhou,
- Yi Yu,
- Yi Yu,
- Yi Yu
Affiliations
- Zhixian Gao
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Zhixian Gao
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Zhixian Gao
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Shiyang Lv
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Shiyang Lv
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Shiyang Lv
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Xiangying Ran
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Xiangying Ran
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Xiangying Ran
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Yuxi Wang
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Yuxi Wang
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Yuxi Wang
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Mengsheng Xia
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Mengsheng Xia
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Mengsheng Xia
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Junming Wang
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Junming Wang
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Junming Wang
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Mengyue Qiu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Mengyue Qiu
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Mengyue Qiu
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Yinping Wei
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Yinping Wei
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Yinping Wei
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Zhenpeng Shao
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Zhenpeng Shao
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Zhenpeng Shao
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Zongya Zhao
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Zongya Zhao
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Zongya Zhao
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Yehong Zhang
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Yehong Zhang
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Yehong Zhang
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- Xuezhi Zhou
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Xuezhi Zhou
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Yi Yu
- School of Medical Engineering, Xinxiang Medical University, Xinxiang, China
- Yi Yu
- Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China
- Yi Yu
- Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China
- DOI
- https://doi.org/10.3389/fnhum.2024.1354332
- Journal volume & issue
-
Vol. 18
Abstract
Stroke, also known as cerebrovascular accident, is an acute cerebrovascular disease with a high incidence, disability rate, and mortality. It can disrupt the interaction between the cerebral cortex and external muscles. Corticomuscular coherence (CMC) is a common and useful method for studying how the cerebral cortex controls muscle activity. CMC can expose functional connections between the cortex and muscle, reflecting the information flow in the motor system. Afferent feedback related to CMC can reveal these functional connections. This paper aims to investigate the factors influencing CMC in stroke patients and provide a comprehensive summary and analysis of the current research in this area. This paper begins by discussing the impact of stroke and the significance of CMC in stroke patients. It then proceeds to elaborate on the mechanism of CMC and its defining formula. Next, the impacts of various factors on CMC in stroke patients were discussed individually. Lastly, this paper addresses current challenges and future prospects for CMC.
Keywords
