B-11. Application of EEG-based brain computer interface to movement and sensory disorders

Publication date: May 2018
Source:Clinical Neurophysiology, Volume 129, Issue 5
Author(s): Tetsuo Ota
ObjectiveTo examine the effect of the EEG-based brain computer interface (BCI) training for patients with stroke, writer's cramp and neuropathic pain. Method: Using the EEG recorded with Ag/AgCl electrodes placed at C3 and C4, as designated according to the International 10/20 system, we gave real time visual feedback to the patients with PC monitor which is placed in front of them. Participants were required to imagine the affected wrist extending in stroke and neuropathic pain patients. Patients with writer's cramp were requested to relax their wrist flexor while extending their wrist. If these tasks were able to have an effect to the affected sensory motor cortex, we can see the change of patient's sensory motor rhythm, for example what is called event-related desynchronization (ERD). While practicing this biofeedback system, patients made an effort to control their affected side EEG activity representing the ERD in stroke and neuropathic pain patients, and diminishing the event-related synchronization (ERS) in writer's cramp patients. Results: After several months BCI training, some patients with stroke and neuropathic pain were able to change their EEG activity easily to have the ERD and after the 6 months training one writer's cramp patient was able to diminish the ERS resulted in good performance. Moreover we could also confirm this change in stroke patients representing the sensory motor cortex activity by recording the functional MRI. Implications/Impact on Rehabilitation: The results suggest that this type of EEG-based brain computer interface training is useful method to improve some kinds of movement and sensory disorders.



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