Movement-related neuromagnetic fields and performances of single trial classifications.

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

Neuroreport

journal_title

Neuroreport

authors

Sugata H,Goto T,Hirata M,Yanagisawa T,Shayne M,Matsushita K,Yoshimine T,Yorifuji S

doi

10.1097/WNR.0b013e32834d935a

subject

Has Abstract

pub_date

2012-01-04 00:00:00

pages

16-20

issue

1

eissn

0959-4965

issn

1473-558X

journal_volume

23

pub_type

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