2017年3月
Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex
SCIENTIFIC REPORTS
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- 巻
- 7
- 号
- 開始ページ
- 45486
- 終了ページ
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1038/srep45486
- 出版者・発行元
- NATURE PUBLISHING GROUP
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.
- リンク情報
- ID情報
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- DOI : 10.1038/srep45486
- ISSN : 2045-2322
- PubMed ID : 28361947
- Web of Science ID : WOS:000397967900001