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Project Number: | IK2CX001584-01A1 |
| Title: | Bayesian modeling of mood-driven decision biases for predicting clinical outcome |
| Principal Investigator: | Katia Harle |
| Location: | San Diego, CA |
| Congressional District Code: | 52 |
| Research Service: | Clinical Science R&D |
| Project Period: | October 2017 - September 2022 |
| FY 2021 Funding Amount: | $196,296 |
| Total Award Amount (all years): |
$972,826 |
| Abstract: |
View full abstract and other project information on NIH RePORTER Go To NIH RePORTER Excerpt: Depressive symptoms, including negative self-focused emotions (e.g., sadness, guilt), make trauma- exposed Veterans vulnerable to developing depressive pathology and substance use disorders (SUD). Both conditions are in turn linked to persistent executive and functional impairments. A common marker of both depression severity and addictive behavior is anhedonia, i.e., reduced ability to seek and experience pleasure/ healthy rewards, with evidence of reduced neural activity in the reward centers... |