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Nonlinear Dynamics of Neurotransmitters and Mathematical Structure of Brain Disease Onset

Research Project

Project/Area Number 21K12105
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 62010:Life, health and medical informatics-related
Research InstitutionThe University of Tokyo

Principal Investigator

Fujiwara Kantaro  東京大学, ニューロインテリジェンス国際研究機構, 特任准教授 (00557704)

Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2023: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2022: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords神経伝達物質 / 数理モデル
Outline of Research at the Start

脳情報の伝達過程で欠かせない神経伝達物質は、シナプスで放出され、標的となる細胞に興奮または抑制の応答反応を伝える低分子の化学物質である。神経伝達物質の均衡が保たれないことにより様々な疾患を呈することが知られている。本研究では、数理モデルも用いて神経伝達物質の非均衡がどのようなメカニズムで最終的に疾患を呈するに至るのかを明らかにする。

Outline of Final Research Achievements

In this research project, I have developed mathematical models of neurotransmitters and their effects on neural networks. In particular, I constructed 1) a mathematical model that takes into account changes in the structure and function of the brain and neural system during development, and 2) a mathematical model that takes into account synaptic pruning. As a result, the influence of neurotransmitters on brain rhythms was clarified. The study of brain rhythms in patients with psychiatric disorders showed that neurotransmitters are linked to psychiatric disorders via the brain wave. In addition to neurotransmitters, brain vascular dynamics also have a significant impact on brain dynamics. The interaction between the neuronal network and the vascular system is responsible for the emergence of various brain phenomena.

Academic Significance and Societal Importance of the Research Achievements

私たちの脳の中には情報伝達の際、神経伝達物質とよばれる様々な種類の化学物質が用いられ、それぞれが各々の均衡を保ち適切に役割を果たしている。その均衡が崩れると、様々な疾患を呈する。しかし、神経伝達物質の均衡の破綻がどのようなメカニズムで疾患を呈するに至るのかは、詳しくわかっていない。そこで本研究では、数理的アプローチによりそのプロセスとメカニズムを理解した。その結果、脳の疾患へと至る神経のメカニズムが数理的に説明でき、その治療にあたりどのようなアプローチを行えばいいのかについても数理的に示すことができた。

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (27 results)

All 2024 2023 2022 2021

All Journal Article (9 results) (of which Peer Reviewed: 9 results,  Open Access: 6 results) Presentation (18 results) (of which Int'l Joint Research: 6 results,  Invited: 2 results)

  • [Journal Article] 特集 未病の科学 Ⅲ.未病研究の将来に向けて 未病データベースの基礎設計2023

    • Author(s)
      藤原寛太郎
    • Journal Title

      生体の科学

      Volume: 74 Issue: 2 Pages: 158-162

    • DOI

      10.11477/mf.2425201663

    • ISSN
      0370-9531, 1883-5503
    • Year and Date
      2023-04-15
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Functional improvement in <i>β</i> cell models of type 2 diabetes using on-demand feedback control2023

    • Author(s)
      Koyama K.、Ando H.、Fujiwara K.
    • Journal Title

      AIP Advances

      Volume: 13 Issue: 4 Pages: 045317-045317

    • DOI

      10.1063/5.0124625

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data2023

    • Author(s)
      L. Ziqiang,K. Fujiwara and G. Tanaka
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 14257 Pages: 13-25

    • DOI

      10.1007/978-3-031-44216-2_2

    • ISBN
      9783031442155, 9783031442162
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification2023

    • Author(s)
      L. Ziqiang,K. Fujiwara and G. Tanaka
    • Journal Title

      Communications in Computer and Information Science

      Volume: 1964 Pages: 523-534

    • DOI

      10.1007/978-981-99-8141-0_39

    • ISBN
      9789819981403, 9789819981410
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Functional improvement in β cell models of type 2 diabetes using on-demand feedback control2023

    • Author(s)
      Keita Koyama; Hiroyasu Ando; Kantaro Fujiwara
    • Journal Title

      AIP Advances

      Volume: -

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Superposed recurrence plots for reconstructing a common input applied to neurons2022

    • Author(s)
      Nomura Ryota、Fujiwara Kantaro、Ikeguchi Tohru
    • Journal Title

      Physical Review E

      Volume: 106 Issue: 3 Pages: 034205-034205

    • DOI

      10.1103/physreve.106.034205

    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Multiple transition of synchronization by interaction of external and internal forces in bursting oscillator networks2021

    • Author(s)
      Keita Koyama; Hiroyasu Ando; Kantaro Fujiwara
    • Journal Title

      Nonlinear Theory and Its Applications, IEICE

      Volume: 12 Issue: 3 Pages: 545-553

    • DOI

      10.1587/nolta.12.545

    • NAID

      130008060802

    • ISSN
      2185-4106
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Analysis on the mechanism of enhancing insulin secretion by TRPM2 channel in a pancreatic <i>β</i>-cell2021

    • Author(s)
      Kotaro Kasahara,Yutaka Shimada,Kantaro Fujiwara,Tohru Ikeguchi
    • Journal Title

      Nonlinear Theory and Its Applications, IEICE

      Volume: 12 Issue: 3 Pages: 500-511

    • DOI

      10.1587/nolta.12.500

    • NAID

      130008060793

    • ISSN
      2185-4106
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Performance evaluation of chaotic random numbers generated from responses of integer logistic maps2021

    • Author(s)
      Shiki Kanamaru,Yutaka Shimada,Kantaro Fujiwara,Tohru Ikeguchi
    • Journal Title

      Nonlinear Theory and Its Applications, IEICE

      Volume: 12 Issue: 3 Pages: 489-499

    • DOI

      10.1587/nolta.12.489

    • NAID

      130008060794

    • ISSN
      2185-4106
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Neural Architecture Search for multi-reservoir system: An application study of emotion recognition2024

    • Author(s)
      Anubhav、Kantaro Fujiwara
    • Organizer
      脳と心のメカニズム冬のワークショップ2023
    • Related Report
      2023 Annual Research Report
  • [Presentation] 一人称視点動画の特性に着目した効率的な活動分類モデルの設計2024

    • Author(s)
      馬場浩平、藤原寛太郎、田中剛平
    • Organizer
      電子情報通信学会 非線形問題研究会
    • Related Report
      2023 Annual Research Report
  • [Presentation] パーシステントホモロジー次元を用いた時系列の非線形性検定2024

    • Author(s)
      山田泰輝、藤原寛太郎
    • Organizer
      応用数理学会 研究部会連合発表会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Evolving multi-reservoir network for understanding emotions2024

    • Author(s)
      Anubhav、Kantaro Fujiwara
    • Organizer
      International Symposium on Nonlinear Science and Medicine (ISNSM2024)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Temporal information processing using Mahalanobis distance of reservoir states2024

    • Author(s)
      Hiroto Tamura、Kantaro Fujiwara、Gouhei Tanaka、Kazuyuki Aihara
    • Organizer
      International Symposium on Nonlinear Science and Medicine (ISNSM2024)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Topological Inference of State Space as Effective Goal of Dynamics Learning2023

    • Author(s)
      Taiki Yamada、Kantaro Fujiwara
    • Organizer
      International Symposium on Nonlinear Theory and its Applications (NOLTA2023)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data2023

    • Author(s)
      Ziqiang Li、Kantaro Fujiwara、Gouhei Tanaka
    • Organizer
      International Conference on Artificial Neural Networks (ICANN2023)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification2023

    • Author(s)
      Ziqiang Li、Kantaro Fujiwara、Gouhei Tanaka
    • Organizer
      International Conference on Neural Information Processing (ICONIP2023)
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] リザバー状態のマハラノビス距離を用いた高効率時系列分類2023

    • Author(s)
      田村浩人、藤原寛太郎、合原一幸、田中剛平
    • Organizer
      日本神経回路学会第33回全国大会(JNNS2023)
    • Related Report
      2023 Annual Research Report
  • [Presentation] Identity Recognition with Bidirectional Echo State Networks from Continuous Blood Pressure Data2023

    • Author(s)
      Ziqiang Li、Kantaro Fujiwara、Gouhei Tanaka
    • Organizer
      日本神経回路学会第33回全国大会(JNNS2023)
    • Related Report
      2023 Annual Research Report
  • [Presentation] Reservoir Splitting method for EEG-based Emotion Recognition2023

    • Author(s)
      Anubhav; Kantaro Fujiwara
    • Organizer
      脳と心のメカニズム冬のワークショップ2023
    • Related Report
      2022 Research-status Report
  • [Presentation] Reservoir Splitting method for EEG-based Emotion Recognition2023

    • Author(s)
      Anubhav; Kantaro Fujiwara
    • Organizer
      The 11th IEEE International Winter Conference on Brain-Computer Interface
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] 未病データベース構築に向けた研究データ基盤の管理・利活用2022

    • Author(s)
      藤原寛太郎
    • Organizer
      Japan Open Science Summit 2022
    • Related Report
      2022 Research-status Report
    • Invited
  • [Presentation] Memory Saving Time Series Anomaly Detection Using Mahalanobis Distance of Reservoir States2022

    • Author(s)
      Hiroto Tamura; Gouhei Tanaka; Kantaro Fujiwara
    • Organizer
      Neuro2022
    • Related Report
      2022 Research-status Report
  • [Presentation] カオス応答を示すIzhikevichニューロンの発火率を用いた共通入力の再構成2022

    • Author(s)
      野村亮太; 藤原寛太郎; 池口徹
    • Organizer
      電子情報通信学会 非線形問題研究会(NLP)
    • Related Report
      2022 Research-status Report
  • [Presentation] 教師なしパターン認識のためのスパイキングニューラルネットワークにおけるスパース結合の影響2022

    • Author(s)
      品川大樹,藤原寛太郎,田中剛平
    • Organizer
      非線形問題研究会(NLP)
    • Related Report
      2021 Research-status Report
  • [Presentation] 膵β細胞の数理モデルにおけるバーストの効率的な律動化2021

    • Author(s)
      小山慧太,安東弘泰,藤原寛太郎
    • Organizer
      複雑コミュニケーションサイエンス研究会(CCS)
    • Related Report
      2021 Research-status Report
  • [Presentation] 神経修飾物質と発達を組み込んだ神経系の数理モデル2021

    • Author(s)
      藤原寛太郎
    • Organizer
      ネットワーク科学研究会
    • Related Report
      2021 Research-status Report
    • Invited

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Published: 2021-04-28   Modified: 2025-01-30  

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