Abstract
Background: Our meta-analysis has shown that Brain-computer interface (BCI) based rehabilitation was effective in improving upper extremity recovery in patients after stroke. BCI involves collecting brain activity (EEG) through mental tasks such as motor imagery or attempt-to-move, decoding specific EEG patterns, and translating them into computerised signals to activate movement commands in the external devices to drive the affected arm in the form of a closed-loop. Often, it is not clear whether the BCI based intervention itself or the assistance from the external device leading to the neural responses and functional gains. This study adopted a closed-loop system involving event-related desynchronisation (ERD) induced by motor imagery (MI) and compared the effects of using the MI only, simultaneous feedback through functional electrical stimulation (FES), with or without the simulation of the participant’s limbs through virtual reality (VR) given.
Objective: To investigate the efficacy of closed-loop BCI training combined with FES and VR on the recovery of the hemiparetic upper extremity of individuals with chronic stroke.
Method: 30 chronic stroke survivors will be recruited in this ongoing study. Participants are randomly allocated into 3 groups: (1) BCI-FES-VR - participants look at an external screen displaying the VR avatar participant’s arms while performing wrist dorsiflexion MI in random order (left or right). The BCI system detects the ERD of the motor area corresponding to correct MI. Then, visual feedback with the VR and motor-tactile feedback with the discharge of the FES is delivered; (2) BCI-FES - same procedure as group 1 but the difference lies in that the participant’s hands replace the VR system; (3) BCI-VR - same procedure as group 1, but the FES is removed. The training consists of 10 sessions in a 3-week interval—each encompassing a series of 240 movements. Motor assessments and imagery questionnaire are being conducted at post-assessment and at a 3-week follow-up. EEG spectral power and ERD are quantified and evaluated by comparing the preparation versus the action interval.
Results: Outcomes of group findings and individual cases will be presented, and effects on using BCI technology in patients with stroke will be discussed.
Objective: To investigate the efficacy of closed-loop BCI training combined with FES and VR on the recovery of the hemiparetic upper extremity of individuals with chronic stroke.
Method: 30 chronic stroke survivors will be recruited in this ongoing study. Participants are randomly allocated into 3 groups: (1) BCI-FES-VR - participants look at an external screen displaying the VR avatar participant’s arms while performing wrist dorsiflexion MI in random order (left or right). The BCI system detects the ERD of the motor area corresponding to correct MI. Then, visual feedback with the VR and motor-tactile feedback with the discharge of the FES is delivered; (2) BCI-FES - same procedure as group 1 but the difference lies in that the participant’s hands replace the VR system; (3) BCI-VR - same procedure as group 1, but the FES is removed. The training consists of 10 sessions in a 3-week interval—each encompassing a series of 240 movements. Motor assessments and imagery questionnaire are being conducted at post-assessment and at a 3-week follow-up. EEG spectral power and ERD are quantified and evaluated by comparing the preparation versus the action interval.
Results: Outcomes of group findings and individual cases will be presented, and effects on using BCI technology in patients with stroke will be discussed.
| Original language | English |
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| Publication status | Published - 14 Dec 2022 |
| Event | The 12th World Congress for Neurorehabilitation - Vienna, Austria Duration: 14 Dec 2022 → 17 Dec 2022 https://wfneurology.org/activities/calendar/WCNR2022 |
Congress
| Congress | The 12th World Congress for Neurorehabilitation |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 14/12/22 → 17/12/22 |
| Internet address |