2021 Fiscal Year Research-status Report
Automatic assessment of somatic depressive symptoms from physiological signals
| Project/Area Number |
20K16627
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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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| Keywords | Depression / Heart rate variability / Functional connectivity / Somatic symptoms / Biomarker / Cardiac activity |
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| Outline of Annual Research Achievements |
This two-year project aims to develop biomarkers for assessment of somatic symptoms and investigate the underlying neural mechanisms. In the first year, we identified the functional connectivity alternated with somatic depressive symptoms. In this year, the goal was to examine whether the interoceptive accuracy can be used to improve assessment accuracy. However, the data was unable to be completely acquired because of pandemic situation. Instead, we identified alternated cardiac activity from participants with high depression scores in the emotion experiment. The results suggest that the high depression risk group shows reduced cardiac response during anticipation and increased cardiac response during perception of emotional pictures.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
The goal of this research includes four items: (1) develop PPG-based biomarker for assessment of somatic depressive symptoms; (2) examine whether interoceptive accuracy can improve the assessment accuracy of somatic depressive symptoms; (3) identify abnormality of neural activity associated with somatic depressive symptoms; (4) investigate whether somatic symptoms related PPG parameters are regulated through the interoceptive system.
The (3) and (4) items were completed in the first year. In this year, the research items (1) and (2) were not accomplished because the pandemic situation delayed the collection of experimental data. The resting-state PPG data and interoceptive accuracy were collected from around 30 participants. We will continue collecting data and then conduct data analysis.
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| Strategy for Future Research Activity |
The plan for the third year is listed below:
(1) Developing PPG-based biomarker for assessment of somatic depressive symptoms using machine learning methods;
(2) Examining whether interoceptive performance can improve the assessment accuracy of somatic depressive symptoms; and then
(3) Identifying the relationship among changes of interoceptive performance, autonomic regulation, and brain functions in MDD.
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| Causes of Carryover |
The budget includes English editing, publication fee, travel expanse for conference. Because of the lockdown under COVID-19 situation, most conferences were cancelled or hold in a virtual way. The journal manuscript was submitted but not accepted. Thus, the incurring amount will be used in the process of publishing the results, data analysis, and attending conference next year.
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