論文

査読有り
2017年2月

Neural pattern similarity between contra- and ipsilateral movements in high-frequency band of human electrocorticograms

NEUROIMAGE
  • Yusuke Fujiwara
  • Riki Matsumoto
  • Takuro Nakae
  • Kiyohide Usami
  • Masao Matsuhashi
  • Takayuki Kikuchi
  • Kazumichi Yoshida
  • Takeharu Kunieda
  • Susumu Miyamoto
  • Tatsuya Mima
  • Akio Ikeda
  • Rieko Osu
  • 全て表示

147
開始ページ
302
終了ページ
313
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neuroimage.2016.11.058
出版者・発行元
ACADEMIC PRESS INC ELSEVIER SCIENCE

The cortical motor areas are activated not only during contralateral limb movements but also during ipsilateral limb movements. Although these ipsilateral activities have been observed in several brain imaging studies, their functional role is poorly understood. Due to its high temporal resolution and low susceptibility to artifacts from body movements, the electrocorticogram (ECoG) is an advantageous measurement method for assessing the human brain function of motor behaviors. Here, we demonstrate that contra- and ipsilateral movements share a similarity in the high-frequency band of human ECoG signals. The ECoG signals were measured from the unilateral sensorimotor cortex while patients conducted self-paced movements of different body parts, contra or ipsilateral to the measurement side. The movement categories (wrist, shoulder, or ankle) of ipsilateral movements were decoded as accurately as those of contralateral movements from spatial patterns of the high frequency band of the precentral motor area (the primary motor and premotor areas). The decoder, trained in the high-frequency band of ipsilateral movements generalized to contralateral movements, and vice versa, confirmed that the activity patterns related to ipsilateral limb movements were similar to contralateral ones in the precentral motor area. Our results suggest that the high-frequency band activity patterns of ipsilateral and contralateral movements might be functionally coupled to control limbs, even during unilateral movements.

リンク情報
DOI
https://doi.org/10.1016/j.neuroimage.2016.11.058
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27890491
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000394560600029&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.neuroimage.2016.11.058
  • ISSN : 1053-8119
  • eISSN : 1095-9572
  • PubMed ID : 27890491
  • Web of Science ID : WOS:000394560600029

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