| 研究課題/領域番号 |
20K16627
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分52030:精神神経科学関連
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| 研究機関 | 広島大学 |
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研究代表者 |
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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| 研究期間 (年度) |
2020-04-01 – 2024-03-31
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| 研究課題ステータス |
中途終了 (2023年度)
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| 配分額 *注記 |
3,250千円 (直接経費: 2,500千円、間接経費: 750千円)
2021年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2020年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
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| キーワード | 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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| 研究開始時の研究の概要 |
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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| 研究実績の概要 |
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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