Bridging minds and policies: supporting early career researchers in translating computational psychiatry research
Author:
Funder
NIHR Cambridge Biomedical Research Centre
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41386-024-01834-1.pdf
Reference15 articles.
1. Huys QJM, Maia TV, Frank MJ. Computational psychiatry as a bridge from neuroscience to clinical applications. Nat Neurosci. 2016;19:404–13.
2. Webb CA, Trivedi MH, Cohen ZD, Dillon DG, Fournier JC, Goer F, et al. Personalized prediction of antidepressant v. placebo response: evidence from the EMBARC study. Psychological Med. 2019;49:1118–27.
3. Berwian IM, Wenzel JG, Collins AGE, Seifritz E, Stephan KE, Walter H, et al. Computational Mechanisms of Effort and Reward Decisions in Patients With Depression and Their Association With Relapse After Antidepressant Discontinuation. JAMA Psychiatry. 2020;77:513.
4. Konova AB, Lopez-Guzman S, Urmanche A, Ross S, Louie K, Rotrosen J, et al. Computational Markers of Risky Decision-making for Identification of Temporal Windows of Vulnerability to Opioid Use in a Real-world Clinical Setting. JAMA Psychiatry. 2020;77:368–77.
5. Karvelis P, Paulus MP, Diaconescu AO. Individual differences in computational psychiatry: A review of current challenges. Neurosci Biobehav Rev. 2023;148:105137.
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