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Causal impact of sleep neural activity on memory consolidation

Research Project

Project/Area Number 20H00521
Research Category

Grant-in-Aid for Scientific Research (A)

Allocation TypeSingle-year Grants
Section一般
Review Section Medium-sized Section 51:Brain sciences and related fields
Research InstitutionKochi University of Technology

Principal Investigator

Takeda Masaki  高知工科大学, 情報学群, 教授 (00418659)

Co-Investigator(Kenkyū-buntansha) 中原 潔  高知工科大学, 情報学群, 教授 (50372363)
長谷川 功  新潟大学, 医歯学系, 教授 (60282620)
地村 弘二  群馬大学, 情報学部, 教授 (80431766)
渡邊 言也  静岡理工科大学, 情報学部, 准教授 (90637133)
Project Period (FY) 2020-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥45,370,000 (Direct Cost: ¥34,900,000、Indirect Cost: ¥10,470,000)
Fiscal Year 2023: ¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2022: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2021: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2020: ¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Keywords記憶 / 睡眠 / fMRI / EEG / tCS
Outline of Research at the Start

記憶想起中に出現する周波数依存的な協調的脳活動が睡眠中にもリプレイされることで記憶固定が促進されるか検証する。本検証を行うために、高い時空間スケールの脳活動計測と脳活動の位相に合わせたclosed-loop電流刺激法を組み合わせる。記憶想起に関連する脳活動パターンの特徴を深層学習デコーディングネットワークにより同定する。睡眠中の脳活動から記憶想起脳活動パターンを検出し、交流電流刺激法による位相を合致させた外部刺激を行うことで、睡眠後の記憶想起パフォーマンスが増大するか検証する。

Outline of Final Research Achievements

We examined brain mechanisms for memory consolidation during sleep by combining highly spatiotemporal resolved functional imaging with closed-loop current stimulation. First, we published a paper regarding deep neural decoding with concurrent fMRI and EEG data for visual category (Watanabe et al, 2023, Neuroimage). Second, we submitted a paper for stress resilience mechanisms based on concurrent fMRI and EEG data. Third, we developed a closed-loop system in which current stimulation is feed-backed to a brain in a real-time manner. Now, we are conducting non-human primate study and rat study regarding this project.

Academic Significance and Societal Importance of the Research Achievements

本研究により、fMRIとEEGの同時計測系により、それぞれ単一の脳機能計測法を用いた場合よりも、より高精度に脳活動のデコーディングを行うことを示すことができた。また、Closed loop刺激法を開発したことで、神経調節法の効果が脳波の位相依存的であることを実験的に確かめることができた。これらの知見は、睡眠時の脳活動を適切に操作することで、起床後の記憶固定を操作可能であることを示している。

Report

(6 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Annual Research Report
  • 2021 Annual Research Report
  • 2020 Comments on the Screening Results   Annual Research Report
  • Research Products

    (22 results)

All 2024 2023 2022 2021 2020

All Journal Article (12 results) (of which Int'l Joint Research: 3 results,  Peer Reviewed: 8 results,  Open Access: 11 results) Presentation (10 results) (of which Int'l Joint Research: 7 results)

  • [Journal Article] Neural signatures of human psychological resilience driven by acute stress2024

    • Author(s)
      Watanabe Noriya、Yoshida Shinichi、Keerativittayayut Ruedeerat、Takeda Masaki
    • Journal Title

      bioRxiv

      Volume: NA

    • DOI

      10.1101/2024.03.24.586503

    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Journal Article] Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans2023

    • Author(s)
      Watanabe, N., Miyoshi, K., Jimura, K., Shimane. D., Keerativittayayut, R., Nakahara, K., & Takeda, M.
    • Journal Title

      NeuroImage

      Volume: - Pages: 120164-120164

    • DOI

      10.1016/j.neuroimage.2023.120164

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] The Stroop effect involves an excitatory?inhibitory fronto-cerebellar loop2023

    • Author(s)
      Okayasu Moe、Inukai Tensei、Tanaka Daiki、Tsumura Kaho、Shintaki Reiko、Takeda Masaki、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      Nature Communications

      Volume: 14 Issue: 1 Pages: 27-27

    • DOI

      10.1038/s41467-022-35397-w

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Neurophysiological dynamics for psychological resilience: A view from the temporal axis2022

    • Author(s)
      Watanabe Noriya、Takeda Masaki
    • Journal Title

      Neuroscience Research

      Volume: 175 Pages: 53-61

    • DOI

      10.1016/j.neures.2021.11.004

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Executive control by fronto-parietal activity explains counterintuitive decision behavior in complex value-based decision-making2022

    • Author(s)
      Matsui Teppei、Hattori Yoshiki、Tsumura Kaho、Aoki Ryuta、Takeda Masaki、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      NeuroImage

      Volume: 249 Pages: 118892-118892

    • DOI

      10.1016/j.neuroimage.2022.118892

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An excitatory-inhibitory fronto-cerebellar loop resolves the Stroop effect2022

    • Author(s)
      Okayasu Moe、Inukai Tensei、Tanaka Daiki、Tsumura Kaho、Hosono Maho、Shintaki Reiko、Takeda Masaki、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      bioRxiv

      Volume: -

    • DOI

      10.1101/2022.01.18.476551

    • Related Report
      2021 Annual Research Report
    • Open Access
  • [Journal Article] Multi-modal deep neural decoding of visual object representation in humans2022

    • Author(s)
      Watanabe Noriya、Miyoshi Kosuke、Jimura Koji、Shimane Daisuke、Keerativittayayut Ruedeerat、Nakahara Kiyoshi、Takeda Masaki
    • Journal Title

      bioRxiv

      Volume: - Pages: 487262-487262

    • DOI

      10.1101/2022.04.06.487262

    • Related Report
      2021 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Reversible Fronto-occipitotemporal Signaling Complements Task Encoding and Switching under Ambiguous Cues2021

    • Author(s)
      Tsumura Kaho、Kosugi Keita、Hattori Yoshiki、Aoki Ryuta、Takeda Masaki、Chikazoe Junichi、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      Cerebral Cortex

      Volume: 32 Issue: 9 Pages: 1911-1931

    • DOI

      10.1093/cercor/bhab324

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Perceptual uncertainty alternates top-down and bottom-up fronto-temporal network signaling during response inhibition2021

    • Author(s)
      Tsumura Kaho、Shintaki Reiko、Takeda Masaki、Chikazoe Junichi、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      bioRxiv

      Volume: -

    • DOI

      10.1101/2021.12.27.474302

    • Related Report
      2021 Annual Research Report
    • Open Access
  • [Journal Article] Cross-Hemispheric Complementary Prefrontal Mechanisms during Task Switching under Perceptual Uncertainty2021

    • Author(s)
      Tsumura Kaho、Aoki Ryuta、Takeda Masaki、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      The Journal of Neuroscience

      Volume: 41 Issue: 10 Pages: 2197-2213

    • DOI

      10.1523/jneurosci.2096-20.2021

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Off-Peak 594-nm Light Surpasses On-Peak 532-nm Light in Silencing Distant ArchT-Expressing Neurons In Vivo2020

    • Author(s)
      Setsuie Rieko、Tamura Keita、Miyamoto Kentaro、Watanabe Takamitsu、Takeda Masaki、Miyashita Yasushi
    • Journal Title

      iScience

      Volume: 23 Issue: 7 Pages: 101276-101276

    • DOI

      10.1016/j.isci.2020.101276

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Self-Controlled Choice Arises from Dynamic Prefrontal Signals That Enable Future Anticipation2020

    • Author(s)
      Tanaka Daiki、Aoki Ryuta、Suzuki Shinsuke、Takeda Masaki、Nakahara Kiyoshi、Jimura Koji
    • Journal Title

      The Journal of Neuroscience

      Volume: 40 Issue: 50 Pages: 9736-9750

    • DOI

      10.1523/jneurosci.1702-20.2020

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Spatiotemporal neural characteristics of human psychological resilience measured by simultaneous fMRI-EEG recordings.2023

    • Author(s)
      Watanabe, N., Yoshida, S., Keerativittayayut, R., Takeda, M.
    • Organizer
      Neuroscience 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Intrinsic neural timescales in frontotemporal regions do not alter in the lighter sleep stages.2023

    • Author(s)
      Takeda, A., Shimane, D., Hu, C., Kadota, H., Takeda, M., Nakahara, K.
    • Organizer
      Neuro2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-pooling 3D convolutional neural network for fMRI classification of visual brain states.2023

    • Author(s)
      Zhang, Z., Takeda, M., Iwata, M.
    • Organizer
      IEEE CAI
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Spatial profile of representation of visual categories revealed by fMRIdeep neural decoding.2022

    • Author(s)
      Watanabe, N., Miyoshi, K., Jimura, K., Keerativittayayut, R., Nakahara, K., & Takeda, M.
    • Organizer
      OHBM2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep neural decoding in fMRI reveals visual categorical representation in humans.2022

    • Author(s)
      Watanabe, N., Miyoshi, K., Jimura, K., Keerativittayayut, R., Nakahara, K., & Takeda, M.
    • Organizer
      Neuro2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Individual differences in psychological resilience are revealed by the dynamics of the resting-state functional network driven by an acute stress experience.2022

    • Author(s)
      Watanabe, N., Keerativittayayut, R., Nakahara, K., & Takeda, M.
    • Organizer
      Neuro2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep neural decoding of concurrent fMRI-EEG reveals visual categorical representation in humans.2022

    • Author(s)
      Takeda, M., Miyoshi, K., Jimura, K., Shimane, D., Keerativittayayut, R., Nakahara, K., & Watanabe, N.
    • Organizer
      JHBI2022
    • Related Report
      2022 Annual Research Report
  • [Presentation] Spatiotemporal profile of representation of visual categories revealed by concurrent fMRI-EEG deep neural decoding in humans.2022

    • Author(s)
      Watanabe, N., Miyoshi, K., Jimura, K., Shimane, D., Keerativittayayut, R., Nakahara, K., & Takeda, M.
    • Organizer
      Neuroscience 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Spatial profile of representation of visual categories revealed by fMRI deep neural decoding2022

    • Author(s)
      Noriya Watanabe, Kosuke Miyoshi, Koji Jimura, Ruedeerat Keerativittayayut, Kiyoshi Nakahara, Masaki Takeda
    • Organizer
      OHBM2022
    • Related Report
      2021 Annual Research Report
  • [Presentation] Deep neural decoding in fMRI reveals visual categorical representation in humans2022

    • Author(s)
      Masaki Takeda, Kosuke Miyoshi, Koji Jimura, Ruedeerat Keerativittayayut, Kiyoshi Nakahara, Noriya Watanabe
    • Organizer
      Neuro2022
    • Related Report
      2021 Annual Research Report

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Published: 2020-04-28   Modified: 2025-01-30  

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