Statistical Method for Detecting State Transition of the Brain from Single Trial EEG data

2014 Fiscal Year Final Research Report

• Project/Area Number: 24700422
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Fusional brain recording science
• Research Institution: National Institute of Information and Communications Technology
• 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)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 脳波 / α波 / 位相シフト / 状態遷移

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.

Free Research Field

脳機能計測