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Development of a method for predicting and improving pathological progression using brain information feedback control

Research Project

Project/Area Number 19K12768
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 90110:Biomedical engineering-related
Research InstitutionDoshisha University

Principal Investigator

IDE KAORU  同志社大学, 研究開発推進機構, 助教 (90806671)

Co-Investigator(Kenkyū-buntansha) 高橋 晋  同志社大学, 脳科学研究科, 教授 (20510960)
Project Period (FY) 2019-04-01 – 2024-03-31
Project Status Discontinued (Fiscal Year 2023)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2023: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2022: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords脳神経回路 / オプトジェネティクス / 神経細胞活動 / マルチニューロン
Outline of Research at the Start

脳神経回路網は動的に恒常性を維持・変容させる機構を備えているが、脳神経細胞が重度に変性・脱落した場合、恒常性変容機構が病的に作用し、神経変性疾患が発症すると考えられる。しかし、従来の脳深部刺激法は動的恒常性の乱れが考慮されておらず、刺激手順の体系的な最適化は成されていない。
本研究では、パーキンソン病に着目し、情報工学と最先端の電気生理学的手法を用い、脳神経回路の活動動態をリアルタイムに計測・解読し、解読した脳状態に応じた神経刺激を加え、脳機能ネットワーク活動をフィードバック制御する。更に、最適な解読情報、刺激パターン・タイミング等を探り出し、病態進行の予測・改善へ導く手法の開発を目指す。

Outline of Final Research Achievements

Our collaborative research efforts have enabled the detection of Parkinson's disease (PD) symptoms and the identification of animal behavior characteristics. We have also made it possible to implement feedback control tailored to the inhibition of multi-animal interactions and characteristic behaviors caused by PD. By introducing a reconfigurable maze that we developed, it has become feasible to evaluate symptom improvement through animal behavioral studies and to precisely feedback brain information. Additionally, we confirmed that ventral tegmental area dopamine cells have an effect on reward location tasks and are involved in the persistence and adaptation of spatial memory.involved in the persistence and adaptation of spatial memory.

Academic Significance and Societal Importance of the Research Achievements

我々が参画した共同研究の成果により、PD動物の行動特徴の自動検出やPDを起因とした動物の行動の同定が可能になったことにより、PDの病態進行予測に大きく貢献していると考えられる。また、光遺伝学にもとづいた神経刺激により、ターゲットの神経細胞活動をリアルタイムで変容させることが可能になった。これらの成果は、PDの治療効果の向上と患者の生活の質の改善に寄与し、医療分野における革新的な進展を示すと考えられる。

Report

(5 results)
  • 2023 Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (23 results)

All 2023 2022 2021 2020 2019

All Journal Article (7 results) (of which Peer Reviewed: 7 results,  Open Access: 7 results) Presentation (16 results) (of which Int'l Joint Research: 3 results)

  • [Journal Article] The neural representation of time distributed across multiple brain regions differs between implicit and explicit time demands2023

    • Author(s)
      Sawatani Fumiya、Ide Kaoru、Takahashi Susumu
    • Journal Title

      Neurobiology of Learning and Memory

      Volume: 199 Pages: 107731-107731

    • DOI

      10.1016/j.nlm.2023.107731

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Review of Neurologgers for Extracellular Recording of Neuronal Activity in the Brain of Freely Behaving Wild Animals2022

    • Author(s)
      Kaoru Ide, Susumu Takahashi
    • Journal Title

      micromachines

      Volume: 13(9) Issue: 9 Pages: 1529-1529

    • DOI

      10.3390/mi13091529

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents2022

    • Author(s)
      Fumiya Sawatani, Yuta Tamatsu, Kaoru Ide, Hirotsugu Azechi, Susumu Takahashi
    • Journal Title

      Journal of Visualized Experiments

      Volume: 190 Issue: 190

    • DOI

      10.3791/64754

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Cross-species behavior analysis with attention-based domain-adversarial deep neural networks2021

    • Author(s)
      Maekawa Takuya、Higashide Daiki、Hara Takahiro、Matsumura Kentarou、Ide Kaoru、Miyatake Takahisa、Kimura Koutarou D.、Takahashi Susumu
    • Journal Title

      Nature Communications

      Volume: 12 Issue: 1 Pages: 5519-5519

    • DOI

      10.1038/s41467-021-25636-x

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Wireless logging of extracellular neuronal activity in the telencephalon of free-swimming salmonids2021

    • Author(s)
      Susumu Takahashi, Takumi Hombe, Riku Takahashi, Kaoru Ide, Shinichiro Okamoto, Ken Yoda, Takashi Kitagawa and Yuya Makiguchi
    • Journal Title

      Animal Biotelemetry

      Volume: 9 Issue: 1 Pages: 9-9

    • DOI

      10.1186/s40317-021-00232-4

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Deep learning-assisted comparative analysis of animal trajectories with DeepHL2020

    • Author(s)
      Takuya Maekawa, Kazuya Ohara, Yizhe Zhang, Matasaburo Fukutomi, Sakiko Matsumoto, Kentarou Matsumura, Hisashi Shidara, Shuhei J. Yamazaki, Ryusuke Fujisawa, Kaoru Ide, Naohisa Nagaya, Koji Yamazaki, Shinsuke Koike, Takahisa Miyatake, Koutarou D. Kimura, Hiroto Ogawa, Susumu Takahashi, and Ken Yoda
    • Journal Title

      Nature Communications

      Volume: 11 Issue: 1 Pages: 5316-5316

    • DOI

      10.1038/s41467-020-19105-0

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] The Reconfigurable Maze Provides Flexible, Scalable, Reproducible, and Repeatable Tests2020

    • Author(s)
      Hoshino Satoshi、Takahashi Riku、Mieno Kana、Tamatsu Yuta、Azechi Hirotsugu、Ide Kaoru、Takahashi Susumu
    • Journal Title

      iScience

      Volume: 23 Issue: 1 Pages: 100787-100787

    • DOI

      10.1016/j.isci.2019.100787

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Coding of elapsed time in the hippocampal CA1 of rats during a timeestimation task performance2023

    • Author(s)
      澤谷 郁哉、井出 薫、畦地 裕統、髙橋 晋
    • Organizer
      日本生理学会第100回記念大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Representation of space and time in the avian hippocampus2023

    • Author(s)
      髙橋 晋
    • Organizer
      日本生理学会第100回記念大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 渡り鳥の幼鳥の内側外套にある頭方位細胞は北方位を好む2022

    • Author(s)
      髙橋 晋 、本部 拓未 、松本 祥子 、井出 薫 、依田 憲
    • Organizer
      NEURO2022(第45回日本神経科学大会)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 海馬における経路初期化表現2022

    • Author(s)
      三重野 華菜 、井出 薫 、髙橋 晋
    • Organizer
      NEURO2022(第45回日本神経科学大会)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 海馬における自発的な計時行動の神経相関2022

    • Author(s)
      澤谷 郁哉、畦地 裕統、井出 薫、髙橋 晋
    • Organizer
      NEURO2022(第45回日本神経科学大会)
    • Related Report
      2022 Annual Research Report
  • [Presentation] VTAからのドーパミンがマウスのナビゲーション行動時の学習に与える影響2022

    • Author(s)
      玉津 裕太、高橋 陸、畦地 裕統、井出 薫、髙橋 晋
    • Organizer
      NEURO2022(第45回日本神経科学大会)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Role of VTA dopaminergic input to the hippocampus for novel learning during spatial navigation2022

    • Author(s)
      Y. TAMATSU, R. TAKAHASHI, H. AZECHI, K. IDE, S. TAKAHASHI
    • Organizer
      Society for Neuroscience 51st Annual Meetings(SfN2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Representation of active time perception in the hippocampal CA1 neurons2022

    • Author(s)
      F. SAWATANI, H. AZECHI, K. IDE, S. TAKAHASHI
    • Organizer
      Society for Neuroscience 51st Annual Meetings(SfN2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 生物集団の軌跡から相互作用の規則を学習するための拡張行動モデル2021

    • Author(s)
      藤井 慶輔、武石 直也、筒井 和詩、藤岡 慧明、西海 望、田中 良弥、福代 三華、井出 薫、河野 裕美、依田 憲、高橋 晋、飛龍 志津子、河原 吉伸
    • Organizer
      第24回情報論的学習理論ワークショップ (IBIS2021)
    • Related Report
      2021 Research-status Report
  • [Presentation] Learning interaction rules from multi-animal trajectories via augmented behavioral models2021

    • Author(s)
      Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
    • Organizer
      Advances in Neural Information Processing Systems (NeurIPS'21)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] 時間細胞と場所細胞の類似性について2021

    • Author(s)
      三重野 華菜、星野 諭、井出 薫、髙橋 晋
    • Organizer
      第43回日本神経科学大会(web開催)
    • Related Report
      2021 Research-status Report
  • [Presentation] 時間細胞と場所細胞の類似性について2020

    • Author(s)
      三重野 華菜, 星野 諭, 井出 薫, 髙橋 晋
    • Organizer
      第43回日本神経科学大会
    • Related Report
      2020 Research-status Report
  • [Presentation] 同一実験室内における様々な迷路上での場所細胞の神経活動2020

    • Author(s)
      三重野華菜, 星野諭, 井出薫, 髙橋晋
    • Organizer
      第97回 日本生理学会大会
    • Related Report
      2019 Research-status Report
  • [Presentation] 歩行する海鳥および遊泳するサケ科魚類の脳における空間ナビゲーションの神経相関2019

    • Author(s)
      井出薫, 本部拓未, 岡本慎一郎, 松本祥子, 依田憲, 牧口祐也, 髙橋晋
    • Organizer
      第42回日本神経科学大会
    • Related Report
      2019 Research-status Report
  • [Presentation] 再構成可能な迷路は記憶学習研究のための繰り返し精度の高い再現性を有するテストを提供する2019

    • Author(s)
      髙橋晋, 星野諭, 井出薫
    • Organizer
      第42回日本神経科学大会
    • Related Report
      2019 Research-status Report
  • [Presentation] マウス用に開発された再構成可能な迷路における移動軌跡の解析2019

    • Author(s)
      高橋陸, 玉津裕太, 井出薫, 髙橋晋
    • Organizer
      第42回日本神経科学大会
    • Related Report
      2019 Research-status Report

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Published: 2019-04-18   Modified: 2025-01-30  

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