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Where is stressed processed in brain during sleep? -- A Neuroimaging study into stress-related abnormalities in brain activity during sleep

Research Project

Project/Area Number 19K20141
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 59040:Nutrition science and health science-related
Research InstitutionKyoto University of Advanced Science

Principal Investigator

LIANG ZILU  京都先端科学大学, 工学部, 講師 (10782807)

Project Period (FY) 2019-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2019: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
KeywordsfNIRS / stress / sleep / brain imaging / personal informatics / wearable computing / ubiquitous computing / neuroimaging / fNIR
Outline of Research at the Start

This study aims to identify which brain areas are abnormally activated/suppressed during sleep in response to stress. The outcomes will give hints to the development of new interventions to stress and sleep problems.

Outline of Final Research Achievements

This study explored the associations between bedtime stress and the hemodynamics in the prefrontal cortex (PFC) during the first sleep cycle. Stress biomarkers including salivary cortisol and sIgA were measured. Perceived stress level was rated on a 1-10 Likert scale right after the collection of the salivary samples. The hemodynamics of the pre-frontal cortex (PFC) was measured using a wearable functional near-infrared spectroscopy (fNIRS) device. Stress was found to correlate to the hemodynamics in the mid-DLPFC, the caudal-DLPFC, and the left RLPFC. The relationships between stress and these PFC subregions depends on the stress indicator adopted. Our finding provides supplementary support to the role of the PFC in processing stress.

Academic Significance and Societal Importance of the Research Achievements

This study expands the scope of stress studies by examining how sleep modulates brain’s response to stress during sleep. The findings will inform the development of new interventions for stress-related sleep problems.

Report

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

    (35 results)

All 2021 2020 2019 Other

All Int'l Joint Research (4 results) Journal Article (12 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 12 results,  Open Access: 5 results) Presentation (12 results) (of which Int'l Joint Research: 3 results) Remarks (7 results)

  • [Int'l Joint Research] Queensland University of Technology(オーストラリア)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Universite de Toulouse(フランス)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Queensland University of Technology(オーストラリア)

    • Related Report
      2019 Research-status Report
  • [Int'l Joint Research] Trinity College Dublin(アイルランド)

    • Related Report
      2019 Research-status Report
  • [Journal Article] A Multi-level Classification Approach for Sleep Stage Prediction with Processed Data Derived from Consumer Wearable Activity Trackers2021

    • Author(s)
      Liang Z, Chapa-Martell MA
    • Journal Title

      Frontiers in Digital Health

      Volume: 3 Pages: 665946-665946

    • DOI

      10.3389/fdgth.2021.665946

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An N-of-1 Investigation into Stress Related Hemodynamic Response s in the Prefrontal Cortex During the First Sleep Cycle2021

    • Author(s)
      Liang Z
    • Journal Title

      Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

      Volume: 0

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments2021

    • Author(s)
      Liang Z, Chapa-Martell MA
    • Journal Title

      Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

      Volume: 362 Pages: 339-350

    • DOI

      10.1007/978-3-030-70569-5_22

    • ISBN
      9783030705688, 9783030705695
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] The Role of Continuous Glucose Monitoring in Automatic Detection of Eating Activities2021

    • Author(s)
      Bertrand L, Cleyet-Marrel N, Liang Z
    • Journal Title

      Proceedings of The 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech)

      Volume: 1 Pages: 313-314

    • DOI

      10.1109/lifetech52111.2021.9391849

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Recognizing eating activities in free-living environment using consumer wearable devices2021

    • Author(s)
      Bertrand L, Cleyet-Marrel N, Liang Z
    • Journal Title

      Proceedings of The 8th International Symposium on Sensor Science

      Volume: 1 Pages: 1-5

    • DOI

      10.3390/i3s2021dresden-10141

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] How Does Fitbit Measure Brainwaves2020

    • Author(s)
      Liang Zilu、Ploderer Bernd
    • Journal Title

      Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

      Volume: 4 Issue: 1 Pages: 1-29

    • DOI

      10.1145/3380994

    • Related Report
      2020 Annual Research Report 2019 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Developing mHealth App for Tracking Academic Stress and Physiological Reactions to Stress2020

    • Author(s)
      Liang Z, Oraphan T, Egholm AL
    • Journal Title

      Proceedings of The IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)

      Volume: 0 Pages: 147-150

    • DOI

      10.1109/lifetech48969.2020.1570618580

    • Related Report
      2020 Annual Research Report 2019 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and the Effect of User-Specific Factors2019

    • Author(s)
      Liang Zilu、Chapa-Martell Mario Alberto
    • Journal Title

      JMIR mHealth and uHealth

      Volume: 7 Issue: 6 Pages: e13384-e13384

    • DOI

      10.2196/13384

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Achieving Accurate Ubiquitous Sleep Sensing with Consumer Wearable Activity Wristbands Using Multi-class Imbalanced Classification2019

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Journal Title

      Proceedings of The IEEE International Conference on Pervasive Intelligence and Computing (PICOM)

      Volume: 0 Pages: 768-775

    • DOI

      10.1109/dasc/picom/cbdcom/cyberscitech.2019.00143

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands2019

    • Author(s)
      Liang Zilu、Chapa-Martell Mario Alberto
    • Journal Title

      Proceedings of The IEEE International Conference on Healthcare Informatics (ICHI)

      Volume: 0 Pages: 1-3

    • DOI

      10.1109/ichi.2019.8904753

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] Combining Numerical and Visual Approaches in Validating Sleep Data Quality of Consumer Wearable Wristbands2019

    • Author(s)
      Liang Zilu、Martell Mario Alberto Chapa
    • Journal Title

      Proceedings of 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

      Volume: 0 Pages: 777-782

    • DOI

      10.1109/percomw.2019.8730805

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Quantified-Self Framework for Exploring and Enhancing Personal Productivity2019

    • Author(s)
      White Gary、Liang Zilu、Clarke Siobhan
    • Journal Title

      Proceedings of The IEEE International Conference on Content-Based Multimedia Indexing (CBMI)

      Volume: 0 Pages: 1-6

    • DOI

      10.1109/cbmi.2019.8877475

    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] Self-rated sleep quality is associated with hemodynamics in prefrontal cortex in the first sleep cycle2021

    • Author(s)
      Liang Z
    • Organizer
      The 3rd Congress of Asian Society of Sleep Medicine (ASSM)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Association between bedtime stress level and hemodynamics in prefrontal cortex during sleep2021

    • Author(s)
      Liang Z
    • Organizer
      日本睡眠学会第46回定期学術集会
    • Related Report
      2020 Annual Research Report
  • [Presentation] A two-stage imbalanced learning method to sleep stage classification using consumer activity trackers2020

    • Author(s)
      Liang Z, Chapa-Martell MA
    • Organizer
      The 13th International Conference on Health Informatics
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Towards automatic analysis of relationship between perceived stress and physical activity with self-tracking technologies2020

    • Author(s)
      Liang Z, Egholm AL, Oraphan T
    • Organizer
      IEICE General Conference
    • Related Report
      2020 Annual Research Report
  • [Presentation] Leveraging consumer activity trackers for sleep stage prediction2020

    • Author(s)
      Liang Z, Chapa-Martell MA
    • Organizer
      The 82th National Convention of the Information Processing Society of Japan
    • Related Report
      2020 Annual Research Report
  • [Presentation] A two-stage imbalanced learning method to sleep stage classification using consumer activity trackers2020

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Organizer
      The 13th International Conference on Health Informatics
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Towards automatic analysis of relationship between perceived stress and physical activity with self-tracking technologies2020

    • Author(s)
      Liang Zilu、Andersen Lys Egholm、Tatha Oraphan
    • Organizer
      IEICE General Conference 2020
    • Related Report
      2019 Research-status Report
  • [Presentation] Leveraging consumer activity trackers for sleep stage prediction2020

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Organizer
      The 82th National Convention of the Information Processing Society of Japan
    • Related Report
      2019 Research-status Report
  • [Presentation] Moving beyond statistical analysis: applying association rule mining to discovering correlations between daily behavioral rhythm and sleep quality2019

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Organizer
      The 26th Annual Meeting of the Japanese Society for Chronobiology
    • Related Report
      2019 Research-status Report
  • [Presentation] Measurement accuracy of consumer sleep tracking wristbands is associated to user-specific factors2019

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Organizer
      The 74th Annual Meeting of the Japanese Society of Physical Fitness and Sports Medicine
    • Related Report
      2019 Research-status Report
  • [Presentation] Mining association rules in quantified self data for better sleep and productivity2019

    • Author(s)
      Liang Zilu、White Grey、Clarke Siobhan、Chapa Martell Mario Alberto
    • Organizer
      IEICE Society Conference
    • Related Report
      2019 Research-status Report
  • [Presentation] Predicting medical-grade sleep/wake classification from Fitbit data using tree-based machine learning2019

    • Author(s)
      Liang Zilu、Chapa Martell Mario Alberto
    • Organizer
      IPSJ SIG Technical Report
    • Related Report
      2019 Research-status Report
  • [Remarks] Personal Website

    • Related Report
      2020 Annual Research Report
  • [Remarks] Personal profile on Google Scholar

    • URL

      https://scholar.google.co.jp/citations?user=UlMDCkQAAAAJ&hl=ja

    • Related Report
      2020 Annual Research Report
  • [Remarks] Personal profile on ResearchGate

    • URL

      https://www.researchgate.net/profile/Zilu-Liang

    • Related Report
      2020 Annual Research Report
  • [Remarks] Personal Website

    • URL

      https://www.zilu-liang.net/research-projects

    • Related Report
      2019 Research-status Report
  • [Remarks] ResearchGate Profile

    • URL

      https://www.researchgate.net/profile/Zilu_Liang

    • Related Report
      2019 Research-status Report
  • [Remarks] Google Scholar Profile

    • URL

      https://scholar.google.co.jp/citations?user=UlMDCkQAAAAJ&hl=ja

    • Related Report
      2019 Research-status Report
  • [Remarks] DBLP Profile

    • URL

      https://dblp.org/pers/l/Liang:Zilu.html

    • Related Report
      2019 Research-status Report

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Published: 2019-04-18   Modified: 2022-01-27  

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