Abstract:
:In order to clarify whether neurophysiological profiles affect the performance of brain machine interfaces (BMI), we examined the relationships between amplitudes of movement-related cortical fields (MRCFs) and decoding performances during movement. Neuromagnetic activities were recorded in nine healthy participants during three types of unilateral upper limb movements. The movement types were inferred by a support vector machine. The amplitude of MRCF components, motor field (MF), movement-evoked field I (MEFI), and movement-evoked field II (MEFII) were compared with the decoding accuracies in all participants. Decoding accuracies at the latencies of MF, MEFI, and MEFII surpassed the chance level in all participants. In particular, accuracies at MEFI and MEFII were significantly higher in comparison with that of MF. The amplitudes and decoding accuracies were strongly correlated (MF, r(s)=0.90; MEFI, r(s)=0.90; and MEFII, r(s)=0.87). Our results show that the variation of MRCF components among participants reflects decoding performance. Neurophysiological profiles may serve as a predictor of individual BMI performance and assist in the improvement of general BMI performance.
journal_name
Neuroreportjournal_title
Neuroreportauthors
Sugata H,Goto T,Hirata M,Yanagisawa T,Shayne M,Matsushita K,Yoshimine T,Yorifuji Sdoi
10.1097/WNR.0b013e32834d935asubject
Has Abstractpub_date
2012-01-04 00:00:00pages
16-20issue
1eissn
0959-4965issn
1473-558Xjournal_volume
23pub_type
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