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Funded Project Details - FY2021

Project Number:

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):
Abstract: View full abstract and other project information on NIH RePORTER


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...

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