Movement-related neuromagnetic fields and performances of single trial classifications

被引:5
作者
Sugata, Hisato [2 ]
Goto, Tetsu [1 ,2 ]
Hirata, Masayuki [1 ,2 ]
Yanagisawa, Takufumi [1 ,3 ]
Shayne, Morris [1 ]
Matsushita, Kojiro [1 ]
Yoshimine, Toshiki [1 ]
Yorifuji, Shiro [2 ]
机构
[1] Osaka Univ, Sch Med, Dept Neurosurg, Suita, Osaka 5650871, Japan
[2] Osaka Univ, Grad Sch Med, Div Funct Diagnost Sci, Suita, Osaka 5650871, Japan
[3] ATR Computat Neurosci Labs, Kyoto, Japan
关键词
brain machine interface; magnetoencephalography; movement-related cortical fields; neural decoding; BRAIN-COMPUTER INTERFACE; CORTICAL ACTIVITY; VOLUNTARY MOVEMENTS; FINGER MOVEMENTS;
D O I
10.1097/WNR.0b013e32834d935a
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. NeuroReport 23:16-20 (C) 2011 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.
引用
收藏
页码:16 / 20
页数:5
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