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Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression

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Year: 2019
Type: article
Source: Biological Psychiatry Cognitive Neuroscience and Neuroimaging
DOI: 10.1016/j.bpsc.2019.10.002
Authors: Yuelu Liu, Roee Admon, Monika S. Mellem, Emily L. Belleau, Roselinde H. Kaiser, Rachel Clegg, Miranda Beltzer, Franziska Goer, Gordana Vitaliano, Parvez Ahammad, Diego A. Pizzagalli
Institutions: University of Haifa, Harvard University, McLean Hospital, University of Colorado Boulder
Language: English

Topic: Treatment of Major Depression
Subfield: Pharmacology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green

Funders: Department of Human Services, National Institutes of Health, National Institute of Mental Health, National Institute on Drug Abuse
Awards: G1081620114, G1152285837, Neuroimaging Studies of Reward Processing in Depression, Nanoengineered Neuroprobes for MRI of Dopamine Transporters in Drug Addiction, G691092655, G8470582720, G9000115818, G9000288551
OpenAlex ID: W2981399013
FWCI: 1.959
Cites: 49
Cited by: 32
Related to: 10
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