| 研究課題/領域番号 |
19K12199
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| 研究機関 | 筑波大学 |
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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)
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| 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)
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| 研究期間 (年度) |
2019-04-01 – 2022-03-31
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| キーワード | Sleep physiology / Sleep mutants / Envelope analysis / EEG / LFP / random walk / time-domain-analysis / Computer simulations |
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| 研究実績の概要 |
three parts:
1) Developing an ontological model of EEG. The model identifies features from EEG that can be directly associated with neuronal activity whereas the lower extreme of the EEG spectrum corresponds to an epiphenomenon emerging from a random-walk process.
2) Analysis of the electroencephalographic phenotype of the Sleepy mutant (in collaboration with Yanagisawa-Funato lab at IIIS). The consequences of the theoretical analysis (1) have interesting implications for the characterization of EEG from Sleepy mutant. A remarkable implication being that delta waves cannot be considered a specific marker of sleep homeostasis. Novel markers derived from theory (a result of this study) can provide a better insight into the Sleepy phenotype.
3) Application of envelope analysis on human sleep studies (in collaboration with Human Sleep lab at IIIS). Currently, the manuscript entitled "Exercise Improves the Quality of Slow Wave Sleep by Increasing Slow Wave Stability" (by Insung Park, Javier Diaz, Sumire Matsumoto, Kaito Iwayama, Yoshiharu Nabekura, Hitomi Ogata, Momoko Kayaba, Katsuhiko Yajima, Makoto Satoh, Kumpei Tokuyama and Kaspar E. Vogt) is ready for submission. Envelope analysis made an important contribution to this study indicating an increased sleep depth in subjects after exercise compared to control.
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| 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
An unexpected result during the development of the project corresponds to "an ontological model of EEG". The idea started by trying to solve an old controversy in neuroscience, about the predominantly rhythmic or arrhythmic nature of EEG. The model considers EEG emerging from the superposition of randomly distributed transients generated at the neuronal level. From the mathematical point of view, this problem can be identified as a particular case of random-walk, with very interesting implications. On the one hand, the model by itself potentially constitutes an important scientific contribution, answering fundamental open questions about EEG origin. On the other hand, the model goes to the hand of novel signal analysis techniques, allowing practical applications of the underlying concepts. Preliminary applications of those techniques to animal and human EEG looks very promising. For example, an index related to sleep homeostasis that can be evaluated during wakefulness is at this moment in the development stage.
In other branches of the project, the application of envelope analysis to human sleep has provided valuable results. At this moment, a manuscript in its final stage, ready for submission. A couple of other applications of CVE in human studies will follow.
As a summary, the project looks promising in terms of productivity.
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| 今後の研究の推進方策 |
Envelope analysis and the new signal analysis techniques, derived from the theoretical model, will be applied to mice EEG (in collaboration with Yanagisawa-Funato group at IIIS), to mice EEG and LFP (in collaboration with Honjoh group at IIIS) and to Human EEG (in collaboration with the Human Sleep group at IIIS).
The characterization of sleep mutants (Sleepy and Dreamless) will take much of the effort for the rest of the present year.
Research about the possibility to extract information related to sleep homeostasis from EEG or LFP during wake is also an important goal for the present year.
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| 次年度使用額が生じた理由 |
Although in former plans experimental work was scheduled for FY2019, the research was focused on the development of some theoretical aspects of the project, data analysis (performed on historical data of wt and mutant mice from IIIS databases), and implementation of new signal analysis procedures based on the new theoretical developments. Strategically, the experimental work was postponed some months while the computational procedures that will be applied over the new data sets were under design and refinement. In FY2020, we will perform experimental procedures requiring consumables, electronic parts, and a solution for massive digital data storage.
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