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

• Project/Area Number: 23700499
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Fusional brain recording science
• Research Institution: Advanced 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: ¥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.

Research Products

• [Journal Article] Revealing time-unlocked brain activity from MEG measurements by Common Waveform Estimation (2014)
  • Author(s): Yusuke Takeda, Kentaro Yamanaka, Noriko Yamagishi, Masa-aki Sato
  • Journal Title: PLOS ONE Volume: 未定
  • 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
• [Presentation] Extracting spatiotemporal patterns from spontaneous MEG data (2014)
  • 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
• [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)
• [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）
• [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）
• [Presentation] Revealing covert brain activity from MEG measurements
  • Author(s): Yusuke TAKEDA
  • Organizer: 18th International Conference on Biomagnetism (BIOMAG2012)
  • Place of Presentation: Paris (France)
• [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）