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Yin J, Xu G, Xie H, Liu Y, Dou Z, Shao B, Li Z. Effects of different frequencies music on cortical responses and functional connectivity in patients with minimal conscious state. JOURNAL OF BIOPHOTONICS 2024; 17:e202300427. [PMID: 38303080 DOI: 10.1002/jbio.202300427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/04/2023] [Accepted: 12/19/2023] [Indexed: 02/03/2024]
Abstract
The objective of this study was to investigate brain activation and functional network patterns during musical interventions in different frequency bands using functional near-infrared spectroscopy, and to provide a basis for more effective music therapy strategy selection for patients in minimally conscious state (MCS). Twenty six MCS patients and 20 healthy people were given music intervention with low frequency (31-180 Hz), medium frequency (180-4k Hz), and high frequency (4k-22k Hz) audio. In MCS patients, low frequency music intervention induced activation of left prefrontal cortex and left primary sensory cortex (S1), also a left-hemisphere lateralization effect of dorsolateral prefrontal cortex (DLPFC). And the functional connectivity of right DLPFC-right S1 was significantly improved by high frequency music intervention. The low frequency and high frequency music may contribute more than medium frequency music to the recovery of consciousness. This study also validated the effectiveness of fNIRS in studies of brain function in MCS patients.
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Affiliation(s)
- Jiahui Yin
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Gongcheng Xu
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hui Xie
- Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ying Liu
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
- Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
| | - Zulin Dou
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Bin Shao
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Zengyong Li
- Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China
- Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing, China
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Dai CQ, Gao M, Lin XD, Xue BJ, Liang Y, Xu ML, Wu XB, Cheng GQ, Hu X, Zhao CG, Yuan H, Sun XL. Primary motor hand area corticospinal excitability indicates overall functional recovery after spinal cord injury. Front Neurol 2023; 14:1175078. [PMID: 37333013 PMCID: PMC10273270 DOI: 10.3389/fneur.2023.1175078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/16/2023] [Indexed: 06/20/2023] Open
Abstract
Background After spinal cord injury (SCI), the excitability of the primary motor cortex (M1) lower extremity area decreases or disappears. A recent study reported that the M1 hand area of the SCI patient encodes the activity information of both the upper and lower extremities. However, the characteristics of the M1 hand area corticospinal excitability (CSE) changes after SCI and its correlation with extremities motor function are still unknown. Methods A retrospective study was conducted on the data of 347 SCI patients and 80 healthy controls on motor evoked potentials (MEP, reflection of CSE), extremity motor function, and activities of daily living (ADL) ability. Correlation analysis and multiple linear regression analysis were conducted to analyze the relationship between the degree of MEP hemispheric conversion and extremity motor function/ADL ability. Results The CSE of the dominant hemisphere M1 hand area decreased in SCI patients. In 0-6 m, AIS A grade, or non-cervical injury SCI patients, the degree of M1 hand area MEP hemispheric conversion was positively correlated with total motor score, lower extremity motor score (LEMS), and ADL ability. Multiple linear regression analysis further confirmed the contribution of MEP hemispheric conversion degree in ADL changes as an independent factor. Conclusion The closer the degree of M1 hand area MEP hemispheric conversion is to that of healthy controls, the better the extremity motor function/ADL ability patients achieve. Based on the law of this phenomenon, targeted intervention to regulate the excitability of bilateral M1 hand areas might be a novel strategy for SCI overall functional recovery.
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Affiliation(s)
- Chun-Qiu Dai
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
- Lintong Rehabilitation and Convalescent Centre, Xi'an, China
| | - Ming Gao
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Xiao-Dong Lin
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Bai-Jie Xue
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Ying Liang
- Department of Health Statistics, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Mu-Lan Xu
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Xiang-Bo Wu
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Gui-Qing Cheng
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Xu Hu
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Chen-Guang Zhao
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Hua Yuan
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
| | - Xiao-Long Sun
- Department of Rehabilitation Medicine, Xi-Jing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, China
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Monfredini CFP, Coelho DB, Marcori AJ, Teixeira LA. Control of interjoint coordination in the performance of manual circular movements can explain lateral specialization. Hum Mov Sci 2023; 90:103102. [PMID: 37236120 DOI: 10.1016/j.humov.2023.103102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/19/2023] [Accepted: 05/20/2023] [Indexed: 05/28/2023]
Abstract
Between-arm performance asymmetry can be seen in different arm movements requiring specific interjoint coordination to generate the desired hand trajectory. In the current investigation, we assessed between-arm asymmetry of shoulder-elbow coordination and its stability in the performance of circular movements. Participants were 16 healthy right-handed university students. The task consisted of performing cyclic circular movements with either the dominant right arm or the nondominant left arm at movement frequencies ranging from 40% of maximum to maximum frequency in steps of 15%. Kinematic analysis of shoulder and elbow motions was performed through an optoelectronic system in the three-dimensional space. Results showed that as movement frequency increased circularity of left arm movements diminished, taking an elliptical shape, becoming significantly different from the right arm at higher movement frequencies. Shoulder-elbow coordination was found to be asymmetric between the two arms across movement frequencies, with lower shoulder-elbow angle coefficients and higher relative phase for the left compared to the right arm. Results also revealed greater variability of left arm movements in all variables assessed, an outcome observed from low to high movement frequencies. From these findings, we propose that specialization of the left cerebral hemisphere for motor control resides in its higher capacity to generate appropriate and stable interjoint coordination leading to the planned hand trajectory.
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Affiliation(s)
| | - Daniel Boari Coelho
- University of São Paulo, Human Motor Systems Laboratory, São Paulo, Brazil; Biomedical Engineering, Federal University of ABC, São Paulo, Brazil.
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Wang X, Luo Z, Zhang M, Zhao W, Xie S, Wong SF, Hu H, Li L. The interaction between changes of muscle activation and cortical network dynamics during isometric elbow contraction: a sEMG and fNIRS study. Front Bioeng Biotechnol 2023; 11:1176054. [PMID: 37180038 PMCID: PMC10167054 DOI: 10.3389/fbioe.2023.1176054] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/14/2023] [Indexed: 05/15/2023] Open
Abstract
Objective: The relationship between muscle activation during motor tasks and cerebral cortical activity remains poorly understood. The aim of this study was to investigate the correlation between brain network connectivity and the non-linear characteristics of muscle activation changes during different levels of isometric contractions. Methods: Twenty-one healthy subjects were recruited and were asked to perform isometric elbow contractions in both dominant and non-dominant sides. Blood oxygen concentrations in brain from functional Near-infrared Spectroscopy (fNIRS) and surface electromyography (sEMG) signals in the biceps brachii (BIC) and triceps brachii (TRI) muscles were recorded simultaneously and compared during 80% and 20% of maximum voluntary contraction (MVC). Functional connectivity, effective connectivity, and graph theory indicators were used to measure information interaction in brain activity during motor tasks. The non-linear characteristics of sEMG signals, fuzzy approximate entropy (fApEn), were used to evaluate the signal complexity changes in motor tasks. Pearson correlation analysis was used to examine the correlation between brain network characteristic values and sEMG parameters under different task conditions. Results: The effective connectivity between brain regions in motor tasks in dominant side was significantly higher than that in non-dominant side under different contractions (p < 0.05). The results of graph theory analysis showed that the clustering coefficient and node-local efficiency of the contralateral motor cortex were significantly varied under different contractions (p < 0.01). fApEn and co-contraction index (CCI) of sEMG under 80% MVC condition were significantly higher than that under 20% MVC condition (p < 0.05). There was a significant positive correlation between the fApEn and the blood oxygen value in the contralateral brain regions in both dominant or non-dominant sides (p < 0.001). The node-local efficiency of the contralateral motor cortex in the dominant side was positively correlated with the fApEn of the EMG signals (p < 0.05). Conclusion: In this study, the mapping relationship between brain network related indicators and non-linear characteristic of sEMG in different motor tasks was verified. These findings provide evidence for further exploration of the interaction between the brain activity and the execution of motor tasks, and the parameters might be useful in evaluation of rehabilitation intervention.
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Affiliation(s)
- Xiaohan Wang
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Zichong Luo
- Faculty of Science and Technology, University of Macau, Taipa, China
| | - Mingxia Zhang
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Weihua Zhao
- Hospital of Northwestern Polytechnical University, Xi’an, China
| | - Songyun Xie
- School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
| | - Seng Fat Wong
- Faculty of Science and Technology, University of Macau, Taipa, China
| | - Huijing Hu
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
| | - Le Li
- Institute of Medical Research, Northwestern Polytechnical University, Xi’an, China
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