A social defeat model to identify neural markers of human depression vulnerability
| Project/Area Number |
20K07723
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 51020:Cognitive and brain science-related
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| Research Institution | Hiroshima University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2020: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | interoception / social cognition / social personality / biomarkers / depression / anxiety / mental health / brain structure / trust / disease prediction / social behavior / vulnerability / insula / active inference / neuroscience |
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| Outline of Research at the Start |
This research combines economic incentives, social interaction, which are factors linked to the development of MDD, and the measurement of psychophysical behavior. Machine learning, neuroimaging and tDCS will be used to predict depression, interoceptive disturbances and validate the HSD game.
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| Outline of Final Research Achievements |
Due to the COVID pandemic and restrictions to conduct experiments with human participants we were unable to conduct part of the proposed project the experiment that would investigate the neural basis of our social defeat task. However, the other part of the project analyzed social databases and identified four social personality traits that significantly predict depressive and social anxiety symptoms: social mindfulness, self-esteem, social responsiveness and trust (published as Fermin et al, 2022, Scientific Reports). We found, for instance that reduced social trust can predict depressive symptoms one year in advance and is linked with abnormalities in brain structures.
Finally, we published on theoretical paper (Fermin, Friston & Yamawaki, 2022, Royal Society Open Science) to propose how visceral and physiological information represented in the brain insular cortex interacts other brain regions involved in social cognition to contribute to mental health.
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| Academic Significance and Societal Importance of the Research Achievements |
Our analyzes of social databases and neuroimaging data revealed that social personality traits can be used as social markers to predict the development of mental health problems at least one year in advance. This finding can be used for the development of social policies to prevent health problems.
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Report
(4 results)
Research Products
(2 results)
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[Journal Article] The neuroanatomy of social trust predicts depression vulnerability2022
Author(s)
Fermin Alan S. R.、Kiyonari Toko、Matsumoto Yoshie、Takagishi Haruto、Li Yang、Kanai Ryota、Sakagami Masamichi、Akaishi Rei、Ichikawa Naho、Takamura Masahiro、Yokoyama Satoshi、Machizawa Maro G.、Chan Hui-Ling、Matani Ayumu、Yamawaki Shigeto、Okada Go、Okamoto Yasumasa、Yamagishi Toshio
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Journal Title
Scientific Reports
Volume: 12
Issue: 1
Pages: 16724-16724
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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