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

Quantifying mindfulness: Characterization of meditative brain states using an evolutionary optimization

Research Project

Project/Area Number 19K12145
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61040:Soft computing-related
Research InstitutionDoshisha University

Principal Investigator

Hiwa Satoru  同志社大学, 生命医科学部, 准教授 (00771247)

Co-Investigator(Kenkyū-buntansha) 廣安 知之  同志社大学, 生命医科学部, 教授 (20298144)
Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2019: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Keywordsマインドフルネス / 瞑想 / MRI / 脳機能ネットワーク / NIRS / マインドワンダリング / 機能的結合 / 漫然運転 / 脳機能 / 集中瞑想 / 内受容感覚 / fMRI / 機能的結合度 / 観想神経科学 / Tucker3 Clustering / 低周波振動振幅強度 / 進化計算 / fNIRS
Outline of Research at the Start

瞑想がウェルビーイング向上の手段として注目されている。瞑想実践初期では、熟練の実践者の指導の下、適切な実践法を理解することが重要であるが、瞑想の熟達度を客観的かつ科学的に評価する仕組みが無く、不適切な実践による有害事象の発生が危惧されている。本研究では、適切な瞑想実践を支援することを目的として、fMRI/fNIRSを用いた脳活動の計測により瞑想実践者の脳状態の変化をモニタリングし、脳の機能的結合度により瞑想状態への到達度を数値化する技術を開発する。本研究は、瞑想実践の曖昧さ・難しさの問題を解決し、適切な瞑想実践支援によるウェルビーイングの促進が期待できる。

Outline of Final Research Achievements

Mindfulness is widely used to become aware of wandering thoughts through meditation and efficiently direct attention in the appropriate direction. In this study, to construct a scientific practice support method based on information on brain functions, we investigated a technique to "visualize" the changes and trajectories of practitioners accompanying meditation and provide feedback to them by measuring brain activity using our original analysis technique. The experiments and analysis using MRI have shown that it can visualize the dynamic changes in brain states associated with focused meditation and help quantify mindfulness. We also adopted this technology to detect driver's distractions in an actual car environment. We showed that it is possible to predict the degree of distracted driving based on the driver's brain activity.

Academic Significance and Societal Importance of the Research Achievements

多くの瞑想の実践プロトコルは、仏教やヨーガにおける実践者の体験をベースに構築されているが、その定義は非常に抽象的かつ主観的である。このため、適切に実践できているかの客観的な判断が難しく、熟練の瞑想者との対話を通じて、自らの体験を共有し、適切な指導を受けながら体験的にその方法論を獲得する必要がある。つまり、よき「師」に出会い適切な指導を受けることもまた重要である。一方で指導者の質を担保する仕組みは未だ整備されておらず、不適切な指導を受け、有害事象につながる可能性もある。本研究の成果は、瞑想実践と指導に脳活動に基づいた科学的な基準を提供し得るものであり、前述の課題を解決に導くものである。

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (11 results)

All 2022 2021 2020 2019

All Journal Article (3 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 2 results,  Open Access: 3 results) Presentation (6 results) (of which Int'l Joint Research: 4 results) Book (2 results)

  • [Journal Article] Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm2022

    • Author(s)
      Tanioka Kensuke、Furotani Yuki、Hiwa Satoru
    • Journal Title

      Entropy

      Volume: 24 Issue: 5 Pages: 579-579

    • DOI

      10.3390/e24050579

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Low rank approximation of difference between correlation matrices by using inner product2021

    • Author(s)
      Kensuke Tanioka, Satoru Hiwa
    • Journal Title

      biorxiv

      Volume: -

    • DOI

      10.1101/2021.02.23.432533

    • Related Report
      2020 Research-status Report
    • Open Access
  • [Journal Article] Revealing Changes in Brain Functional Networks Caused by Focused-Attention Meditation Using Tucker3 Clustering2020

    • Author(s)
      Miyoshi Takuma、Tanioka Kensuke、Yamamoto Shoko、Yadohisa Hiroshi、Hiroyasu Tomoyuki、Hiwa Satoru
    • Journal Title

      Frontiers in Human Neuroscience

      Volume: 13 Pages: 1-11

    • DOI

      10.3389/fnhum.2019.00473

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Estimating the degree of a driver's distraction based on functional connectivity analysis: An fNIRS study2021

    • Author(s)
      Takahiko Ogihara, Tomoyuki Hiroyasu, Satoru Hiwa
    • Organizer
      Neuroscience 2021 (Society for Neuroscience)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Is interoceptive attention during breath-counting meditation reflected in functional connectivity?2020

    • Author(s)
      S. Yamamoto, T. Hiroyasu and S. Hiwa
    • Organizer
      The 26th Annual Meeting of the Organization for Human Brain Mapping
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Manifold learning on time-varying functional connectivity matrices: A case study on meditation data2019

    • Author(s)
      Satoru Hiwa and Tomoyuki Hiroyasu
    • Organizer
      The 25th Annual Meeting of the Organization for Human Brain Mapping
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] An fMRI study on the attentional state induced by breath-counting meditation2019

    • Author(s)
      Shoko Yamamoto, Satoru Hiwa and Tomoyuki Hiroyasu
    • Organizer
      The 25th Annual Meeting of the Organization for Human Brain Mapping
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] 集中瞑想における「脳地図」の作成 (第二報:個人毎の脳地図作成による個人差の検討)2019

    • Author(s)
      古家知樹, 日和悟, 廣安知之
    • Organizer
      日本マインドフルネス学会第6回大会
    • Related Report
      2019 Research-status Report
  • [Presentation] 集中瞑想中の脳機能ネットワークにおける個人内変動の検討 (第2報:高変動な脳領域の特定)2019

    • Author(s)
      大塚友樹, 日和悟, 廣安知之
    • Organizer
      日本マインドフルネス学会第6回大会
    • Related Report
      2019 Research-status Report
  • [Book] 人工知能を用いた五感・認知機能の可視化とメカニズム解明2021

    • Author(s)
      執筆者:64名、技術情報協会
    • Total Pages
      533
    • Publisher
      技術情報協会
    • ISBN
      9784861048494
    • Related Report
      2021 Annual Research Report
  • [Book] AI事典第3版2019

    • Author(s)
      中島秀之、浅田稔、松原仁、橋田浩一、山川宏、栗原聡、松尾豊(13.12 マインドフルネス(pp.365-368)を担当:廣安知之, 日和悟)
    • Total Pages
      400
    • Publisher
      近代科学社
    • ISBN
      9784764906044
    • Related Report
      2019 Research-status Report

URL: 

Published: 2019-04-18   Modified: 2023-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi