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Abstract
The P300-based brain-computer interface (P300-BCI) is expected to provide a new communication tool for patients with amyotrophic lateral sclerosis (ALS). Currently, there is little evidence about the relationship between the neurophysiological profiles of P300 and the performance of the P300-BCI in patients with ALS. In the present study, we investigate this relationship in detail. Patients were asked to input five characters using a traditional row/column speller which consisted of a 7 × 10 matrix. EEGs were recorded using eight electrodes. The on-line P300-BCI performance was then compared with the neurophysiological profiles of P300. We found that patients who had a robust P300 response over the occipital area showed a higher success rate in the P300-BCI compared with patients who had a large P300 response over the fronto-central area. These results suggest that appropriate evaluation of the neurophysiological aspects of P300 may lead to prediction of and improvement in the P300-BCI performance.
Acknowledgements
This work was supported by a grant for ‘Brain Machine Interface Development’ from the Ministry of Education, Culture, Sports, Science and Technology of Japan; ‘Development of BMI Technologies for Clinical Application’ from the Strategic Research Program for Brain Sciences from the Japan Agency for Medical Research and Development; Health Labour Sciences Research Grant (23100101) from the Ministry of Health, Labour, and Welfare of Japan; KAKENHI (23390347, 26282165) grants funded from the Japan Society for the Promotion of Science (JSPS); and Impulsing Paradigm Change through Disruptive Technologies from the Cabinet Office, Government of Japan.
Conflict of Interest
None of the authors declares any conflicts of interest.