Individualized functional brain mapping machine learning prediction of symptom-change resulting from selective kappa-opioid antagonism in an anhedonic sample from a Fast-Fail trial
Background: Anhedonia remains a difficult-to-treat symptom and has been associated with poor clinical course transdiagnostically. Here, we applied machine learning models to individualized neural patches derived from fMRI data during the Monetary Incentive Delay Task in anhedonic participants (N = 6...
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| Main Authors: | Matthew D. Sacchet, Joseph L. Valenti, Poorvi Keshava, Shane W. Walsh, Moria J. Smoski, Andrew D. Krystal, Diego A. Pizzagalli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Journal of Mood and Anxiety Disorders |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950004425000239 |
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