Statistical Method for Detecting State Transition of the Brain from Single Trial EEG data
| Project/Area Number |
24700422
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Fusional brain recording science
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| Research Institution | National Institute of Information and Communications Technology |
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Principal Investigator |
NARUSE Yasushi 独立行政法人情報通信研究機構, 脳情報通信融合研究センター脳機能計測研究室, 副室長 (00455453)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 脳波 / α波 / 位相シフト / 状態遷移 / 統計解析 / 位相 / 反応時間 / μ波 / 位相同期 / 視覚運動 / 脳波解析 / 機械学習 / ラインプロセス |
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| Outline of Final Research Achievements |
The aim of this study was to develop a novel statistical method for detecting state transitions of the brain from a single EEG trial. First, we developed the statistical method that can detect phase shift of the alpha rhythm from a single EEG trial. Then, we showed the reaction times in the trials in which phase shifts were detected before the button press were significantly longer than in those in which phase shifts were not so detected. This result indicates that the alpha phase shift relates to the state transition of the brain.
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Report
(4 results)
Research Products
(13 results)
