| Project/Area Number |
20K16627
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 52030:Psychiatry-related
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| Research Institution | Hiroshima University |
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Principal Investigator |
CHAN HUILING 広島大学, 脳・こころ・感性科学研究センター, 特任助教 (80867979)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Project Status |
Discontinued (Fiscal Year 2023)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2020: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | Somatic symptom / Heart rate variability / Depression / Multiscale entropy / Biomarker / Functional connectivity / Somatic symptoms / Cardiac activity / Major depression / Interoception / Autonomic regulation / Photoplethysmogram (PPG) / major depression / photoplethysmogram (PPG) / fMRI / interoception / biomarker |
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| Outline of Research at the Start |
We will investigate whether brain activity, pulse, and respiratory signals can be used as biomarkers of somatic depressive symptoms, such as fatigue and insomnia, in healthy participants and major depressive patients. It may support early identification of people at risk of developing depression.
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| Outline of Annual Research Achievements |
This study has identified neurophysiological markers for depressive somatic symptoms. These markers include reduced low-frequency heart rate variability in photoplethysmography (PPG) signals and altered connectivity between the insula and anterior cingulate cortex in brain imaging data. In our final year, we delved into the potential of multiscale entropy in PPG signals as somatic symptom biomarkers. Our results highlight that multiscale increment entropy of spline-interpolated interbeat intervals also holds promise as a biomarker. In sum, our findings suggest that neurophysiological activity changes with somatic symptoms. Consequently, using multi-modal neurophysiological biomarkers may offer a more comprehensive way for assessing somatic symptoms compared to single-modal indicators.
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