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Disturbed hippocampal intra-network in major depressive disorder

Research Project

Project/Area Number 19K17214
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 52040:Radiological sciences-related
Research InstitutionKyoto University (2020-2021)
University of Occupational and Environmental Health, Japan (2019)

Principal Investigator

Watanabe Keita  京都大学, オープンイノベーション機構, 特定准教授 (70565663)

Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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大うつ病 / 海馬 / ネットワーク / VBM / MRI / Connectome / voxel based morphometry / brain network / hippocampus / depression
Outline of Research at the Start

本研究では大うつ病患者と健常被験者を対象に高分解能の脳MRI検査を行い、大うつ病における海馬および辺縁系内のnetworkの異常部位を特定する。次に、特定されたnetworkの定量値と大うつ病の重症度や抑うつ気分、自殺企図などの臨床症状、ストレス尺度、認知機能との関係を調査することで、大うつ病の発症および症状の原因となる海馬および辺縁系内のnetworkの異常を究明する。

Outline of Final Research Achievements

Evaluating intra-networks in the hippocampus using magnetic resonance imaging (MRI) is challenging.
Here we employed a high spatial resolution of conventional structural imaging and incident component analysis (ICA) to investigate structural covariance intra-networks in the hippocampus. We extracted intra-networks based on the intrinsic connectivity of each 0.9 mm isotropic voxel to every other voxel using a data-driven approach. Further, we investigated the abnormality of the intra-networks in major depressive disorders (MDD).
The ICA extracted seven intra-networks from hippocampal structural images, which were divided into four bilateral networks and three networks along the longitudinal axis. A significant difference was observed in the bilateral hippocampal tail network between patients with MDD and HS. In logistic analysis, all four bilateral networks were significant predictors of MDD, with an accuracy of 78.1%.

Academic Significance and Societal Importance of the Research Achievements

今回の研究では、脳構造画像の高い空間分解能を利用して、海馬内のネットワークを描出および定量化する手法を開発した。脳内のネットワーク解析は脳機能画像や拡散テンソル画像が主流であるが、フラッグシップモデルのMRIを使用する必要がある。今回開発した手法では、一般的なMRIでも評価が可能な上により詳細なネットワーク解析が行えると考えている。この手法は日常診療で行われるMRI検査を含めて、幅広く応用が可能である。
また、本手法で計測する海馬内ネットワークの指標は、大うつ病の診断や重症度の評価において客観的なバイオマーカーとなり得る可能性が示唆された。

Report

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

    (6 results)

All 2021 2020 2019

All Journal Article (3 results) (of which Peer Reviewed: 2 results,  Open Access: 2 results) Presentation (3 results) (of which Invited: 1 results)

  • [Journal Article] Hippocampal Network Abnormality in Major Depressive Disorder [Presidential Award Proceedings]2020

    • Author(s)
      渡邉啓太、掛田伸吾、杉本康一郎、香月あすか、吉村玲児、興梠征典
    • Journal Title

      Japanese Journal of Magnetic Resonance in Medicine

      Volume: 40 Issue: 1 Pages: 33-35

    • DOI

      10.2463/jjmrm.2019-1699

    • NAID

      130007808340

    • ISSN
      0914-9457, 2434-0499
    • Year and Date
      2020-02-15
    • Related Report
      2020 Research-status Report 2019 Research-status Report
    • Open Access
  • [Journal Article] An independent component analysis reveals brain structural networks related to TNF-α in drug-na?ve, first-episode major depressive disorder: a source-based morphometric study2020

    • Author(s)
      Kakeda Shingo、Watanabe Keita、Nguyen Hoa、Katsuki Asuka、Sugimoto Koichiro、Igata Natsuki、Abe Osamu、Yoshimura Reiji、Korogi Yukunori
    • Journal Title

      Translational Psychiatry

      Volume: 10 Issue: 1 Pages: 1-5

    • DOI

      10.1038/s41398-020-00873-8

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Whole-brain structural covariance network abnormality in first-episode and drug-naïve major depressive disorder2020

    • Author(s)
      Watanabe K, Kakeda S, Katsuki A, Ueda I, Ikenouchi A, Yoshimura R, Korogi Y
    • Journal Title

      Psychiatry research: neuroimaging

      Volume: 300 Pages: 111083-111083

    • DOI

      10.1016/j.pscychresns.2020.111083

    • Related Report
      2020 Research-status Report 2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 脳画像処理2021

    • Author(s)
      渡邉啓太
    • Organizer
      磁気共鳴医学会
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Structural imaging analysis2020

    • Author(s)
      渡邉 啓太
    • Organizer
      第24回MR実践・先端講座
    • Related Report
      2020 Research-status Report
  • [Presentation] Hippocampal network abnormality in Major Depressive Disorder2019

    • Author(s)
      渡邉啓太、掛田伸吾、杉本康一郎、香月あすか、吉村玲児、興梠征典
    • Organizer
      第47回日本磁気共鳴医学会大会
    • Related Report
      2019 Research-status Report

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

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