title: Prediction of hand trajectory from electrocorticography signals in primary motor cortex.
abstract: Due to their potential as a control modality in brain-machine interfaces, electrocorticography (ECoG) has received much focus in recent years. Studies using ECoG have come out with success in such endeavors as classification of arm movements and natural grasp types, regression of arm trajectories in two and three dimensions, estimation of muscle activity time series and so on. However, there still remains considerable work to be done before a high performance ECoG-based neural prosthetic can be realized. In this study, we proposed an algorithm to decode hand trajectory from 15 and 32 channel ECoG signals recorded from primary motor cortex (M1) in two primates. To determine the most effective areas for prediction, we applied two electrode selection methods, one based on position relative to the central sulcus (CS) and another based on the electrodes' individual prediction performance. The best coefficients of determination for decoding hand trajectory in the two monkeys were 0.4815 ± 0.0167 and 0.7780 ± 0.0164. Performance results from individual ECoG electrodes showed that those with higher performance were concentrated at the lateral areas and areas close to the CS. The results of prediction according with different numbers of electrodes based on proposed methods were also shown and discussed. These results also suggest that superior decoding performance can be achieved from a group of effective ECoG signals rather than an entire ECoG array.
authors.affiliation: Department of Information Processing, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Chao
authors.initials: C
authors.lastname: Chen
authors.affiliation: Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Duk
authors.initials: D
authors.lastname: Shin
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan.
authors.forename: Hidenori
authors.initials: H
authors.lastname: Watanabe
authors.affiliation: Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Yasuhiko
authors.initials: Y
authors.lastname: Nakanishi
authors.affiliation: Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Kambara
authors.affiliation: Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Natsue
authors.initials: N
authors.lastname: Yoshimura
authors.affiliation: Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan.
authors.forename: Atsushi
authors.initials: A
authors.lastname: Nambu
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan ; Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan.
authors.forename: Tadashi
authors.initials: T
authors.lastname: Isa
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan ; Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan ; Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Tokyo, Japan.
authors.forename: Yukio
authors.initials: Y
authors.lastname: Nishimura
authors.affiliation: Department of Information Processing, Tokyo Institute of Technology, Yokohama, Japan ; Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan ; CREST, Japan Science and Technology Agency, Kawaguchi, Japan.
authors.forename: Yasuharu
authors.initials: Y
authors.lastname: Koike
mesh_terms: D000818:Animals; D062207:Brain-Computer Interfaces; D004569:Electroencephalography; D005260:Female; D006225:Hand / Q000502:physiology*; D008251:Macaca; D008297:Male; D009044:Motor Cortex / Q000502:physiology*; D011597:Psychomotor Performance