Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs
Studies using source localization results have shown that cortical involvement increased in treadmill walking with brain–computer interface (BCI) control. However, the reorganization of cortical functional connectivity in treadmill walking with BCI control is largely unknown. To investigate this, a...
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MDPI AG
2024-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/21/7016 |
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| author | Pengna Wei Tong Chen Jinhua Zhang Jiandong Li Jun Hong Lin Zhang |
| author_facet | Pengna Wei Tong Chen Jinhua Zhang Jiandong Li Jun Hong Lin Zhang |
| author_sort | Pengna Wei |
| collection | DOAJ |
| description | Studies using source localization results have shown that cortical involvement increased in treadmill walking with brain–computer interface (BCI) control. However, the reorganization of cortical functional connectivity in treadmill walking with BCI control is largely unknown. To investigate this, a public dataset, a mobile brain–body imaging dataset recorded during treadmill walking with a brain–computer interface, was used. The electroencephalography (EEG)-coupling strength of the between-region and within-region during the continuous self-determinant movements of lower limbs were analyzed. The time–frequency cross-mutual information (TFCMI) method was used to calculate the coupling strength. The results showed the frontal–occipital connection increased in the gamma and delta bands (the threshold of the edge was >0.05) during walking with BCI, which may be related to the effective communication when subjects adjust their gaits to control the avatar. In walking with BCI control, the results showed theta oscillation within the left-frontal, which may be related to error processing and decision making. We also found that between-region connectivity was suppressed in walking with and without BCI control compared with in standing states. These findings suggest that walking with BCI may accelerate the rehabilitation process for lower limb stroke. |
| format | Article |
| id | doaj-art-0151b92a83a04c55a8f18cc00774a273 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-0151b92a83a04c55a8f18cc00774a2732024-11-08T14:41:52ZengMDPI AGSensors1424-82202024-10-012421701610.3390/s24217016Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower LimbsPengna Wei0Tong Chen1Jinhua Zhang2Jiandong Li3Jun Hong4Lin Zhang5Academy of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, ChinaAcademy of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, ChinaThe Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaAcademy of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, ChinaThe Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, ChinaAcademy of Air and Missile Defense, Air Force Engineering University, Xi’an 710051, ChinaStudies using source localization results have shown that cortical involvement increased in treadmill walking with brain–computer interface (BCI) control. However, the reorganization of cortical functional connectivity in treadmill walking with BCI control is largely unknown. To investigate this, a public dataset, a mobile brain–body imaging dataset recorded during treadmill walking with a brain–computer interface, was used. The electroencephalography (EEG)-coupling strength of the between-region and within-region during the continuous self-determinant movements of lower limbs were analyzed. The time–frequency cross-mutual information (TFCMI) method was used to calculate the coupling strength. The results showed the frontal–occipital connection increased in the gamma and delta bands (the threshold of the edge was >0.05) during walking with BCI, which may be related to the effective communication when subjects adjust their gaits to control the avatar. In walking with BCI control, the results showed theta oscillation within the left-frontal, which may be related to error processing and decision making. We also found that between-region connectivity was suppressed in walking with and without BCI control compared with in standing states. These findings suggest that walking with BCI may accelerate the rehabilitation process for lower limb stroke.https://www.mdpi.com/1424-8220/24/21/7016functional connectivitytime–frequency cross-mutual information (TFCMI)electroencephalography (EEG)lower-limb movement |
| spellingShingle | Pengna Wei Tong Chen Jinhua Zhang Jiandong Li Jun Hong Lin Zhang Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs Sensors functional connectivity time–frequency cross-mutual information (TFCMI) electroencephalography (EEG) lower-limb movement |
| title | Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs |
| title_full | Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs |
| title_fullStr | Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs |
| title_full_unstemmed | Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs |
| title_short | Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs |
| title_sort | study of the brain functional connectivity processes during multi movement states of the lower limbs |
| topic | functional connectivity time–frequency cross-mutual information (TFCMI) electroencephalography (EEG) lower-limb movement |
| url | https://www.mdpi.com/1424-8220/24/21/7016 |
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