論文

査読有り 筆頭著者
2007年7月

Neural correlates of regional EEG power change

NEUROIMAGE
  • N. Oishi
  • ,
  • T. Mima
  • ,
  • K. Ishii
  • ,
  • K. O. Bushara
  • ,
  • T. Hiraoka
  • ,
  • Y. Uekl
  • ,
  • H. Fukuyama
  • ,
  • M. Hallett

36
4
開始ページ
1301
終了ページ
1312
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neuroimage.2007.04.030
出版者・発行元
ACADEMIC PRESS INC ELSEVIER SCIENCE

To clarify the physiological significance of task-related change of the regional electroencephalogram (EEG) rhythm, we quantitatively evaluated the correlation between regional cerebral blood flow (rCBF) and EEG power. Eight subjects underwent (H2O)-O-15 positron emission tomography scans simultaneously with EEG recording during the following tasks: rest condition with eyes closed and open, self-paced movements of the right and left thumb and right ankle. EEG signals were recorded from the occipital and bilateral sensorimotor areas. Cortical activation associated with EEG rhythm generation was studied by the correlation between rCBF and EEG power. There were significant negative correlations between the sensorimotor EEG rhythm at 10-20 Hz on each side and the ipsilateral sensorimotor rCBF and between the occipital EEG rhythm at 10-20 Hz and the occipital rCBF. The occipital EEG rhythm showed a positive correlation with the bilateral medial prefrontal rCBF, while the right sensorimotor EEG rhythm showed a positive correlation with the left prefrontal rCBF. In conclusion, decrease in the regional EEG rhythm at 10-20 Hz might represent the neuronal activation of the cortex underlying the electrodes, at least for the visual and sensorimotor areas. The neural network including the prefrontal cortex could play an important role to generate the EEG rhythm. (C) 2007 Elsevier Inc. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.neuroimage.2007.04.030
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000248152400024&DestApp=WOS_CPL
ID情報
  • DOI : 10.1016/j.neuroimage.2007.04.030
  • ISSN : 1053-8119
  • Web of Science ID : WOS:000248152400024

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