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2020 年度 実施状況報告書

過渡的事象に注目した新規解析手法による睡眠脳波の解析

研究課題

研究課題/領域番号 19K12199
研究機関筑波大学

研究代表者

Diaz Javier  筑波大学, 国際統合睡眠医科学研究機構, 研究員 (10835911)

研究分担者 佐藤 誠  筑波大学, 国際統合睡眠医科学研究機構, 教授 (50242409)
研究期間 (年度) 2019-04-01 – 2022-03-31
キーワードSleep physiology / Sleep mutants / Envelope analysis / EEG / Human Polysomnograpjy / random walk / time-domain-analysis / Computer simulations
研究実績の概要

Using envelope analysis in a human sleep study, it was possible to prove that people doing exercise sleep better in the next night (assessing the stability of EEG delta waves), compared with the sedentary condition (paired data). This study was recently published (doi: 10.1038/s41598-021-83817-6). The study shows the advantages of envelope analysis, enabling the extraction of EEG features which are inaccessible for classic spectral analysis.
The second branch of the project has also interesting results. From computational models assuming that EEG is originated by a superposition of pulses, we discovered a new technique to infer the theoretical pulses from the randomness of EEG. The technique is based on novel mathematical relationships (conjectures), stablished by us, and we are doing efforts to obtain their proofs in collaboration with a mathematician expert in stochastic processes. From a theoretical perspective, these findings are very valuable providing important evidence in favor of the arrhythmic nature of EEG. From a practical perspective, the technique can be used to classify bahavioral states (wakefulness and sleep states) without requiring electromiohraphy. Another pertinent example is the ability of the technique to confidently distinguish EEG from normal mice and SIK3 mutant mice (a mutant with an altered sleep phenotype). Remarkably, the technique is also significantly less sensitive to movement artifacts than classic spectral analysis.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

The main objectives of the project have reached an advanced state of development and concrete scientific results. One branch of the project (human EEG applications) has already a published results (doi: 10.1038/s41598-021-83817-6). The other branches of the project (ontology of EEG and application of envelope analysis to sleep studies in animal models) have produced already a volume of results suitable to generate at least two publications.

今後の研究の推進方策

The plans for the present year include: 1) to write the manuscripts mantioned above. 2) Test the applicability of our novel EEG analysys (transients analysis) in human EEG. 3) To apply envelope analysis to other human datasets (sleep studies). 4) To further explore stochastic EEG models with both theoretical and practical goals.

次年度使用額が生じた理由

In the present fiscal year, the grant will be used mainly in animal experimentation costs, animal facilities fees, and publication costs.

  • 研究成果

    (1件)

すべて 2021

すべて 雑誌論文 (1件) (うち国際共著 1件、 査読あり 1件、 オープンアクセス 1件)

  • [雑誌論文] Exercise improves the quality of slow-wave sleep by increasing slow-wave stability2021

    • 著者名/発表者名
      Insung Park*, Javier Diaz*, Sumire Matsumoto, Kaito Iwayama, Yoshiharu Nabekura, Hitomi Ogata, Momoko Kayaba, Atsushi Aoyagi, Katsuhiko Yajima, Makoto Satoh, Kumpei Tokuyama, Kaspar E Vogt
    • 雑誌名

      Scientific Reports

      巻: 11 ページ: 4410

    • DOI

      10.1038/s41598-021-83817-6

    • 査読あり / オープンアクセス / 国際共著

URL: 

公開日: 2021-12-27  

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