title: Prediction of three-dimensional arm trajectories based on ECoG signals recorded from human sensorimotor cortex.
abstract: Brain-machine interface techniques have been applied in a number of studies to control neuromotor prostheses and for neurorehabilitation in the hopes of providing a means to restore lost motor function. Electrocorticography (ECoG) has seen recent use in this regard because it offers a higher spatiotemporal resolution than non-invasive EEG and is less invasive than intracortical microelectrodes. Although several studies have already succeeded in the inference of computer cursor trajectories and finger flexions using human ECoG signals, precise three-dimensional (3D) trajectory reconstruction for a human limb from ECoG has not yet been achieved. In this study, we predicted 3D arm trajectories in time series from ECoG signals in humans using a novel preprocessing method and a sparse linear regression. Average Pearson's correlation coefficients and normalized root-mean-square errors between predicted and actual trajectories were 0.44~0.73 and 0.18~0.42, respectively, confirming the feasibility of predicting 3D arm trajectories from ECoG. We foresee this method contributing to future advancements in neuroprosthesis and neurorehabilitation technology.
authors.affiliation: Precision and Intelligence Laboratory, Tokyo Institute of Technology, Yokohama, Japan.
authors.forename: Yasuhiko
authors.initials: Y
authors.lastname: Nakanishi
authors.forename: Takufumi
authors.initials: T
authors.lastname: Yanagisawa
authors.forename: Duk
authors.initials: D
authors.lastname: Shin
authors.forename: Ryohei
authors.initials: R
authors.lastname: Fukuma
authors.forename: Chao
authors.initials: C
authors.lastname: Chen
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Kambara
authors.forename: Natsue
authors.initials: N
authors.lastname: Yoshimura
authors.forename: Masayuki
authors.initials: M
authors.lastname: Hirata
authors.forename: Toshiki
authors.initials: T
authors.lastname: Yoshimine
authors.forename: Yasuharu
authors.initials: Y
authors.lastname: Koike
mesh_terms: D000293:Adolescent; D000368:Aged; D000465:Algorithms; D001132:Arm / Q000503:physiopathology*; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000503:physiopathology*; D004550:Elbow / Q000503:physiopathology; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D006987:Hypesthesia / Q000503:physiopathology; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009038:Motion; D009044:Motor Cortex / Q000503:physiopathology*; D009068:Movement / Q000502:physiology; D009128:Muscle Spasticity / Q000503:physiopathology; D012782:Shoulder / Q000503:physiopathology; D014955:Wrist Joint / Q000503:physiopathology