Towards a machine‐learning assisted diagnosis of psychiatric disorders and their operationalization in preclinical research: Evidence from studies on addiction‐like behaviour in individual rats-Reference-Cited by-同舟云学术

Towards a machine‐learning assisted diagnosis of psychiatric disorders and their operationalization in preclinical research: Evidence from studies on addiction‐like behaviour in individual rats

Published:2022-11 Issue:11 Volume:56 Page:6069-6083
ISSN:0953-816X
Container-title:European Journal of Neuroscience
language:en
Short-container-title:Eur J of Neuroscience

Author:

Jadhav Kshitij S.¹²^ORCID,Boury Jamot Benjamin¹,Deroche‐Gamonet Veronique³,Belin David²^ORCID,Boutrel Benjamin¹⁴^ORCID

Affiliation:

1. Center for Psychiatric Neuroscience, Department of Psychiatry Lausanne University Hospital Lausanne Switzerland

2. Cambridge Laboratory for Research on Impulsive/Compulsive spectrum Disorders (CLIC), Department of Psychology University of Cambridge Cambridge UK

3. Université de Bordeaux, INSERM, Neurocentre Magendie Bordeaux France

4. Division of Adolescent and Child Psychiatry, Department of Psychiatry Lausanne University Hospital Lausanne Switzerland

Funder

Agence Nationale de la Recherche

Institut National de la Santé et de la Recherche Médicale

Medical Research Council Canada

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Université de Bordeaux

Publisher

Wiley

Subject

General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ejn.15839

Reference76 articles.

1. Editorial: Neurobehavioural Mechanisms of Resilience and Vulnerability in Addictive Disorders

2. Atomoxetine Decreases Vulnerability to Develop Compulsivity in High Impulsive Rats

3. Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: Basic findings from the National Comorbidity Survey.

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