• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Improve accuracy of BCI by detecting intention-related brain activity from EEG and MEG data

Research Project

Project/Area Number 23700499
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Fusional brain recording science
Research InstitutionAdvanced Telecommunications Research Institute International

Principal Investigator

TAKEDA Yusuke  株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 専任研究員 (60505981)

Project Period (FY) 2011-04-28 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2014: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Keywordsブレイン-コンピュータ・インタフェース(BCI) / 脳波 / 脳磁図 / 運動想像 / 運動意図 / 自発脳活動 / レスティングステート / fMRI / 意図 / 想像 / BCI
Outline of Final Research Achievements

The purpose of this study is to improve the accuracy of brain-computer interface (BCI) by detecting intention-related brain activities from EEG and MEG data. To this end, from EEG during motor imagery, we revealed waveforms that occur with unknown delays after stimulus onset (unlocked waveform). We proposed a procedure to examine the roles of unlocked waveforms. Furthermore, we proposed a method to estimate repetitive spatiotemporal patterns from resting-state brain activity data.

Report

(5 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • 2012 Research-status Report
  • 2011 Research-status Report
  • Research Products

    (8 results)

All 2014 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (7 results)

  • [Journal Article] Revealing time-unlocked brain activity from MEG measurements by Common Waveform Estimation2014

    • Author(s)
      Yusuke Takeda, Kentaro Yamanaka, Noriko Yamagishi, Masa-aki Sato
    • Journal Title

      PLOS ONE

      Volume: 未定

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] Extracting spatiotemporal patterns from spontaneous human brain activities.2014

    • Author(s)
      Yusuke Takeda, Masa-aki Sato
    • Organizer
      第37回日本神経科学大会 (Neuroscience 2014)
    • Place of Presentation
      パシフィコ横浜(神奈川県)
    • Year and Date
      2014-09-13
    • Related Report
      2014 Annual Research Report
  • [Presentation] Extracting spatiotemporal patterns from spontaneous MEG data2014

    • Author(s)
      Yusuke Takeda, Masa-aki Sato
    • Organizer
      20th International Conference on Biomagnetism (BIOMAG2014)
    • Place of Presentation
      Halifax (Canada)
    • Year and Date
      2014-08-27
    • Related Report
      2014 Annual Research Report
  • [Presentation] Extracting spatiotemporal patterns from spontaneous MEG data

    • Author(s)
      Yusuke Takeda, Masa-aki Sato
    • Organizer
      Society for Neuroscience 43rd Annual Meeting (Neuroscience 2013)
    • Place of Presentation
      San Diego (USA)
    • Related Report
      2013 Research-status Report
  • [Presentation] Revealing covert brain activity from MEG data

    • Author(s)
      Yusuke TAKEDA
    • Organizer
      第35回日本神経科学大会(Neuroscience 2012)
    • Place of Presentation
      名古屋国際会議場(愛知県)
    • Related Report
      2012 Research-status Report
  • [Presentation] MEGデータからのセンサ間で同期したα振動の抽出

    • Author(s)
      武田祐輔
    • Organizer
      神経オシレーションカンファレンス
    • Place of Presentation
      自然科学研究機構岡崎コンファレンスセンター(愛知県)
    • Related Report
      2012 Research-status Report
  • [Presentation] Revealing covert brain activity from MEG measurements

    • Author(s)
      Yusuke TAKEDA
    • Organizer
      18th International Conference on Biomagnetism (BIOMAG2012)
    • Place of Presentation
      Paris (France)
    • Related Report
      2012 Research-status Report
  • [Presentation] EEG/MEGからの試行間で共通した波形の推定

    • Author(s)
      武田祐輔、山中健太郎、山岸典子、佐藤雅昭
    • Organizer
      医用診断のための応用統計数理の新展開III
    • Place of Presentation
      統計数理研究所(東京都)
    • Related Report
      2011 Research-status Report

URL: 

Published: 2011-08-05   Modified: 2019-07-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi