Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study
Motor control is a complex process of coordination and information interaction among neural, motor, and sensory functions. Investigating the correlation between motor-physiological information helps to understand the human motor control mechanisms and is important for the assessment of motor functio...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10359145/ |
| _version_ | 1797354573632897024 |
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| author | Ping Xie Ying Wang Jian Yu Yan Lv Shengcui Cheng Yingying Hao Xiaoling Chen Tengyu Zhang Jie Chen |
| author_facet | Ping Xie Ying Wang Jian Yu Yan Lv Shengcui Cheng Yingying Hao Xiaoling Chen Tengyu Zhang Jie Chen |
| author_sort | Ping Xie |
| collection | DOAJ |
| description | Motor control is a complex process of coordination and information interaction among neural, motor, and sensory functions. Investigating the correlation between motor-physiological information helps to understand the human motor control mechanisms and is important for the assessment of motor function status. In this manuscript, we investigated the differences in the neuromotor coupling analysis between healthy controls and stroke patients in different movements. We applied the corticokinematic coherence (CKC) function between the electroencephalogram (EEG) and acceleration (ACC) data. First, we collected the EEG and ACC data from 10 healthy controls and 10 stroke patients under the task of movement execution (ear touch and knee touch) and movement maintenance (ear touch and knee touch). After the preprocessing of raw data, we used frequency domain coherence method to analyze the full-frequency EEG and ACC data, which could be concluded that the CKC intensity in the movement execution was higher than that in the movement maintenance. However, there was no significant difference between healthy subjects and stroke patients. Secondly, the coherence results in local frequency bands showed that low-frequency bands could better reflect the difference between movement execution and maintenance. The intensity of coherence in healthy subjects was significantly higher than that in other bands, but not in stroke patients. Further comparison of coherence results in local frequency bands showed that the intensity of theta band in healthy controls was significantly higher than other rhythms, especially in the knee touch phase. Therefore, we infer that neurodynamic coupling analysis based on EEG and ACC data can show the differences between healthy subjects and stroke patients. Such researches could add to the understanding of neuro-motor control mechanisms and provide new quantitative indicators on the motor function assessment. |
| first_indexed | 2024-03-08T13:52:23Z |
| format | Article |
| id | doaj.art-8a0cc0fff0ec4e4ebef84af467871f18 |
| institution | Directory Open Access Journal |
| issn | 1558-0210 |
| language | English |
| last_indexed | 2024-03-08T13:52:23Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-8a0cc0fff0ec4e4ebef84af467871f182024-01-16T00:00:13ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1558-02102024-01-013223324010.1109/TNSRE.2023.334217910359145Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration StudyPing Xie0https://orcid.org/0000-0001-5878-087XYing Wang1Jian Yu2Yan Lv3Shengcui Cheng4Yingying Hao5Xiaoling Chen6https://orcid.org/0000-0003-3677-3753Tengyu Zhang7Jie Chen8Key Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Measurement Technology and Instrumentation of Hebei Province, Yanshan University, Qinhuangdao, ChinaKey Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, ChinaSchool of Physical Education, Yanshan University, Qinhuangdao, ChinaMotor control is a complex process of coordination and information interaction among neural, motor, and sensory functions. Investigating the correlation between motor-physiological information helps to understand the human motor control mechanisms and is important for the assessment of motor function status. In this manuscript, we investigated the differences in the neuromotor coupling analysis between healthy controls and stroke patients in different movements. We applied the corticokinematic coherence (CKC) function between the electroencephalogram (EEG) and acceleration (ACC) data. First, we collected the EEG and ACC data from 10 healthy controls and 10 stroke patients under the task of movement execution (ear touch and knee touch) and movement maintenance (ear touch and knee touch). After the preprocessing of raw data, we used frequency domain coherence method to analyze the full-frequency EEG and ACC data, which could be concluded that the CKC intensity in the movement execution was higher than that in the movement maintenance. However, there was no significant difference between healthy subjects and stroke patients. Secondly, the coherence results in local frequency bands showed that low-frequency bands could better reflect the difference between movement execution and maintenance. The intensity of coherence in healthy subjects was significantly higher than that in other bands, but not in stroke patients. Further comparison of coherence results in local frequency bands showed that the intensity of theta band in healthy controls was significantly higher than other rhythms, especially in the knee touch phase. Therefore, we infer that neurodynamic coupling analysis based on EEG and ACC data can show the differences between healthy subjects and stroke patients. Such researches could add to the understanding of neuro-motor control mechanisms and provide new quantitative indicators on the motor function assessment.https://ieeexplore.ieee.org/document/10359145/Motor function evaluationcorticokine-matic coherenceEEGACC signalstroke |
| spellingShingle | Ping Xie Ying Wang Jian Yu Yan Lv Shengcui Cheng Yingying Hao Xiaoling Chen Tengyu Zhang Jie Chen Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study IEEE Transactions on Neural Systems and Rehabilitation Engineering Motor function evaluation corticokine-matic coherence EEG ACC signal stroke |
| title | Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study |
| title_full | Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study |
| title_fullStr | Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study |
| title_full_unstemmed | Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study |
| title_short | Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study |
| title_sort | abnormal low frequency corticokinematic coherence in stroke an electroencephalography and acceleration study |
| topic | Motor function evaluation corticokine-matic coherence EEG ACC signal stroke |
| url | https://ieeexplore.ieee.org/document/10359145/ |
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