title: Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex.
abstract: Studies on brain-machine interface techniques have shown that electrocorticography (ECoG) is an effective modality for predicting limb trajectories and muscle activity in humans. Motor control studies have also identified distributions of "extrinsic-like" and "intrinsic-like" neurons in the premotor (PM) and primary motor (M1) cortices. Here, we investigated whether trajectories and muscle activity predicted from ECoG were obtained based on signals derived from extrinsic-like or intrinsic-like neurons. Three participants carried objects of three different masses along the same counterclockwise path on a table. Trajectories of the object and upper arm muscle activity were predicted using a sparse linear regression. Weight matrices for the predictors were then compared to determine if the ECoG channels contributed more information about trajectory or muscle activity. We found that channels over both PM and M1 contributed highly to trajectory prediction, while a channel over M1 was the highest contributor for muscle activity prediction.
authors.affiliation: Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Yasuhiko
authors.initials: Y
authors.lastname: Nakanishi
authors.affiliation: Division of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Osaka, Japan.|Department of Neurosurgery, Osaka University Medical School, Osaka, Japan.|ATR Computational Neuroscience Laboratories, Japan.|Division of Functional Diagnostic Science, Osaka University Graduate School of Medicine, Osaka, Japan.
authors.forename: Takufumi
authors.initials: T
authors.lastname: Yanagisawa
authors.affiliation: Department of Electronics and Mechatronics, Tokyo Polytechnic University, Atsugi, Japan.
authors.forename: Duk
authors.initials: D
authors.lastname: Shin
authors.affiliation: Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Kambara
authors.affiliation: Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Natsue
authors.initials: N
authors.lastname: Yoshimura
authors.affiliation: Department of Neurosurgery, Osaka University Medical School, Osaka, Japan.
authors.forename: Masataka
authors.initials: M
authors.lastname: Tanaka
authors.affiliation: Department of Neurosurgery, Osaka University Medical School, Osaka, Japan.|ATR Computational Neuroscience Laboratories, Japan.
authors.forename: Ryohei
authors.initials: R
authors.lastname: Fukuma
authors.affiliation: Department of Neurosurgery, Osaka University Medical School, Osaka, Japan.
authors.forename: Haruhiko
authors.initials: H
authors.lastname: Kishima
authors.affiliation: Division of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Osaka, Japan.|Department of Neurosurgery, Osaka University Medical School, Osaka, Japan.
authors.forename: Masayuki
authors.initials: M
authors.lastname: Hirata
authors.affiliation: Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Yasuharu
authors.initials: Y
authors.lastname: Koike
mesh_terms: D001132:Arm / Q000502:physiology*; D000069280:Electrocorticography; D004827:Epilepsy / Q000503:physiopathology*; D005260:Female; D006801:Humans; D009044:Motor Cortex / Q000503:physiopathology*; D009068:Movement; D009132:Muscles / Q000502:physiology*