Machine Learning Identifies Large-Scale Reward-Related Activity Modulated by Dopaminergic Enhancement in Major Depression
Journal Article
Overview
publication date
- February 1, 2020
has subject area
- Acids, Carbocyclic - Amisulpride
- Adult
- Amides - Amisulpride
- Amines - Dopamine
- Antidepressive Agents, Second-Generation
- Benzene Derivatives - Amisulpride
- Biogenic Monoamines - Dopamine
- Catechols - Dopamine
- Computing Methodologies - Machine Learning
- Depression
- Depressive Disorder, Major
- Environment and Public Health - Double-Blind Method
- Female
- Health Care Evaluation Mechanisms - Double-Blind Method
- Humans
- Investigative Techniques - Double-Blind Method
- Male
- Mathematical Concepts - Machine Learning
- Methods - Double-Blind Method
- Reward
- Young Adult
has restriction
- green
Date in CU Experts
- December 3, 2019 6:47 AM
Full Author List
- Liu Y; Admon R; Mellem MS; Belleau EL; Kaiser RH; Clegg R; Beltzer M; Goer F; Vitaliano G; Ahammad P
author count
- 11
citation count
- 14
published in
Other Profiles
International Standard Serial Number (ISSN)
- 2451-9022
Electronic International Standard Serial Number (EISSN)
- 2451-9030
Digital Object Identifier (DOI)
Additional Document Info
start page
- 163
end page
- 172
volume
- 5
issue
- 2