Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients
Issued Date
2023-01-01
Resource Type
eISSN
21693536
Scopus ID
2-s2.0-85147267887
Journal Title
IEEE Access
Volume
11
Start Page
4931
End Page
4943
Rights Holder(s)
SCOPUS
Bibliographic Citation
IEEE Access Vol.11 (2023) , 4931-4943
Suggested Citation
Rungsirisilp N., Chaiyawat P., Techataweesub S., Meesrisuk A., Wongsawat Y. Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients. IEEE Access Vol.11 (2023) , 4931-4943. 4943. doi:10.1109/ACCESS.2023.3236182 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/81801
Title
Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients
Author's Affiliation
Other Contributor(s)
Abstract
The study aimed to compare the effects of combined action observation and motor imagery (AOMI) and motor imagery (MI)-based brain-computer interface (BCI) training on upper limb recovery, cortical excitation, and cognitive task performance in chronic stroke patients. 17 chronic stroke patients were recruited and randomly assigned to AOMI-based BCI (n = 9) and MI-based BCI groups (n = 8). The AOMI-based BCI group received AOMI-based BCI training via functional electrical stimulation (FES) feedback, whereas the MI-based BCI group obtained MI-based BCI training via FES feedback. Both groups participated in training for 12 sessions (3 days/week, consecutive four weeks). To evaluate upper limb function recovery, the Fugl-Meyer Assessment for upper extremity (FMA-UE) was employed. Event-related desynchronization (ERD) and online classification accuracy were utilized to measure cortical excitation of the affected sensorimotor hand region and cognitive task performance, respectively. Both AOMI and MI-based BCI training improved upper limb function in chronic stroke patients. However, the AOMI-based BCI group showed significantly greater motor gain than the MI-based BCI group. In addition, the AOMI-based BCI group demonstrated significantly greater cortical excitation of the affected sensorimotor hand region and cognitive task performance. The correlation analysis revealed that higher cognitive task performance during AOMI-based BCI training may promote greater cortical excitation of the affected sensorimotor hand region, which contributes to greater upper limb function improvement compared to MI-based BCI training.