Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients
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...
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th-mahidol.818012023-05-19T14:39:55Z Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients Rungsirisilp N. Mahidol University Computer Science 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. 2023-05-19T07:39:55Z 2023-05-19T07:39:55Z 2023-01-01 Article IEEE Access Vol.11 (2023) , 4931-4943 10.1109/ACCESS.2023.3236182 21693536 2-s2.0-85147267887 https://repository.li.mahidol.ac.th/handle/123456789/81801 SCOPUS |
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Computer Science Rungsirisilp N. Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
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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. |
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title |
Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
title_short |
Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
title_full |
Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
title_fullStr |
Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
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Applying Action Observation During a Brain-Computer Interface on Upper Limb Recovery in Chronic Stroke Patients |
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applying action observation during a brain-computer interface on upper limb recovery in chronic stroke patients |
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2023 |
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https://repository.li.mahidol.ac.th/handle/123456789/81801 |
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