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

Learning to control brain activity pattern using real-time functional MRI: A feasibility study

Research Project

Project/Area Number 26350993
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Brain biometrics
Research InstitutionNagoya University

Principal Investigator

Bagarinao Epifanio  名古屋大学, 脳とこころの研究センター, 特任准教授 (00443218)

Co-Investigator(Renkei-kenkyūsha) ISODA Haruo  名古屋大学, 脳とこころの研究センター, 教授 (40223060)
Project Period (FY) 2014-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2014: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywordsreal-time functional MRI / neurofeedback / support vector machine / brain machine interface / machine learning
Outline of Final Research Achievements

In this study, a real-time fMRI-based brain state decoder system to identify different brain states, viewed as brain activity pattern, was developed and used to investigate whether participants can control their brain activity pattern to match a pre-determined target pattern using neurofeedback. The system attained an overall processing time that was faster than the image acquisition time set at 2s. Using support vector machines, brain states associated with three tasks (imagined tapping, word generation, and serial subtraction tasks) were successfully reproduced as evidenced by the consistently high mean classification accuracy of greater than 80% during feedback scans.

Report

(4 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (13 results)

All 2017 2016 2015 2014

All Presentation (13 results) (of which Int'l Joint Research: 4 results,  Invited: 1 results)

  • [Presentation] Development of a Brain Machine Interface Using a Neurofeedback fMRI System - A Small Humanoid Represents Imagery Movements -2017

    • Author(s)
      Akihiro Yoshida, Epifanio Bagarinao, Mika Ueno, Haruo Isoda, Kazunori Terabe, Shohei Kato, Toshiharu Nakai
    • Organizer
      1st Annual Scientific Meeting of the ISMRM Japanese Chapter
    • Place of Presentation
      Osaka, Japan
    • Year and Date
      2017-02-23
    • Related Report
      2016 Annual Research Report
  • [Presentation] Building an Activation Map Driven Operation System for a Small Humanoid Using Real-time fMRI - An Initial Report -2016

    • Author(s)
      Akihiro Yoshida, Epifanio Bagarinao, Mika Ueno, Kazunori Terabe, Shohei Kato, Haruo Isoda, Toshiharu Nakai
    • Organizer
      BrainConnects 2016
    • Place of Presentation
      Taichung, Taiwan
    • Year and Date
      2016-09-22
    • Related Report
      2016 Annual Research Report
  • [Presentation] EEG-fMRI同時計測による意味記憶課題中のサブセカンドレベルでの連続的な脳活動の検出2016

    • Author(s)
      Kengo Mizuno, Epifanio Bagarinao, Satoshi Maesawa, Saea Tohira, Hirohisa Watanabe, Toshiharu Nakai, and Haruo Isoda
    • Organizer
      44th Annual Meeting of the Japanese Society for Magnetic Resonance in Medicine
    • Place of Presentation
      Saitama, Japan
    • Year and Date
      2016-09-09
    • Related Report
      2016 Annual Research Report
  • [Presentation] Sub-second activation dynamics of the oddball task: A simultaneous EEG-fMRI study2016

    • Author(s)
      E. Bagarinao, K. Mizuno, S. Maesawa, H. Watanabe, S. Tohira, T. Nakai, and H. Isoda
    • Organizer
      39th Annual Meeting of the Japan Neuroscience Society
    • Place of Presentation
      Yokohama, Japan
    • Year and Date
      2016-07-20
    • Related Report
      2016 Annual Research Report
  • [Presentation] Detecting subsecond activation changes during interictal epileptic spike using simultaneous EEG-fMRI2016

    • Author(s)
      Epifanio Bagarinao, Satoshi Maesawa, Yuji Ito, Hirohisa Watanabe, and Haruo Isoda
    • Organizer
      22nd Annual Meeting of the Organization for Human Brain Mapping
    • Place of Presentation
      Geneva, Switzerland
    • Year and Date
      2016-06-26
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Sequential activation in sub-second range during working memory task: A simultaneous EEG-fMRI study2016

    • Author(s)
      Kengo Mizuno, Epifanio Bagarinao, Satoshi Maesawa, Saea Tohira, Hirohisa Watanabe, Toshiharu Nakai, and Haruo Isoda
    • Organizer
      22nd Annual Meeting of the Organization for Human Brain Mapping
    • Place of Presentation
      Geneva, Switzerland
    • Year and Date
      2016-06-26
    • Related Report
      2016 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Real-time fMRI を使用した小型ヒューマノイド Neurofeedback システムの構築2016

    • Author(s)
      吉田旭宏, エピファニオ バガリナオ, 上野美果, 寺部和紀, 加藤昇平, 礒田治夫, 中井敏晴
    • Organizer
      平成28年度日本生体医工学会東海支部学術集会
    • Place of Presentation
      名古屋市、愛知県
    • Related Report
      2016 Annual Research Report
  • [Presentation] Real-time functional MRI2016

    • Author(s)
      Epifanio Bagarinao
    • Organizer
      Lecture presented at Tri-Service General Hospital
    • Place of Presentation
      Taipei, Taiwan
    • Related Report
      2016 Annual Research Report
    • Invited
  • [Presentation] Detecting activation patterns from functional MRI datasets with undetermined event onsets using support vector machines2015

    • Author(s)
      E. Bagarinao, S. Maesawa, H. Watanabe, H. Isoda
    • Organizer
      45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015)
    • Place of Presentation
      Chicago, IL, USA
    • Year and Date
      2015-10-17
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Applications of support vector machines in neuroimaging studies: Identifying imaging biomarkers and real-time brain state decoding2015

    • Author(s)
      E. Bagarinao
    • Organizer
      BrainConnects 2015
    • Place of Presentation
      Nagoya, Aichi, Japan
    • Year and Date
      2015-07-31
    • Related Report
      2015 Research-status Report
    • Int'l Joint Research
  • [Presentation] Real-time classification of brain activation patterns using support vector machine and its potential application as a tool for cognitive training2015

    • Author(s)
      E. Bagarinao, S. Maesawa, H. Watanabe, D. Mori, T. Nakai, H. Isoda, and G. Sobue
    • Organizer
      38th Annual Meeting of the Japan Neuroscience Society
    • Place of Presentation
      Kobe, Japan
    • Year and Date
      2015-07-28
    • Related Report
      2015 Research-status Report
  • [Presentation] Implementation of a real-time functional-MRI-based brain state decoder system and its potential application as a brain machine interface2015

    • Author(s)
      E. Bagarinao, S. Maesawa, H. Watanabe, D. Mori, T. Nakai, H. Isoda and G. Sobue
    • Organizer
      The 54th Annual Conference of the Japanese Society for Medical and Biological Engineering
    • Place of Presentation
      Nagoya City, Aichi
    • Year and Date
      2015-05-07 – 2015-05-09
    • Related Report
      2014 Research-status Report
  • [Presentation] Building prediction models for resting state networks using support vector machines for regression2014

    • Author(s)
      E. Bagarinao, S. Maesawa, M. Fujii, D. Mori, H. Watanabe, T. Wakabayashi, H. Isoda, G. Sobue
    • Organizer
      44th Annual Meeting of the Society for Neuroscience
    • Place of Presentation
      Washington, DC, USA
    • Year and Date
      2014-11-15 – 2014-11-19
    • Related Report
      2014 Research-status Report

URL: 

Published: 2014-04-04   Modified: 2018-03-22  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi