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 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.

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Publication Details

Journal
Sensors
Published
2024-10-31
DOI
https://doi.org/10.3390/s24217016
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34

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article

Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs

Jun Hong, Pengna Wei, Jiandong Li, Lin Zhang et al.
1 citations
Sensors
EEG and Brain-Computer Interfaces
0.34
article

Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs

Jun Hong, Pengna Wei, Jiandong Li, Lin Zhang, Jinhua Zhang, Tong Chen
article en
1 citations

Abstract

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.

SensorsVol. 24(21)
Air Force Engineering University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Peace, Justice and strong institutions
Openalex Percentile: Top 39%
EEG and Brain-Computer Interfaces
0.34
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Study of the Brain Functional Connectivity Processes During Multi-Movement States of the Lower Limbs — Jun Hong, Pengna Wei, et al. · Sensors (2024) | TGRS Research Map | TGRS