Computational Analysis of Multidimensional Behavioral Alterations After Chronic Social Defeat Stress.

ABSTRACT:

Background

The study of depression in humans depends on animal models that attempt to mimic specific features of the human syndrome. Most studies focus on one or a few behavioral domains, with time and practical considerations prohibiting a comprehensive evaluation. Although machine learning has enabled unbiased analysis of behavior in animals, this has not yet been applied to animal models of psychiatric disease.

Methods

We performed chronic social defeat stress (CSDS) in mice and evaluated behavior with PsychoGenics' SmartCube, a high-throughput unbiased automated phenotyping platform that collects >2000 behavioral features based on machine learning. We evaluated group differences at several times post-CSDS and after administration of the antidepressant medication imiprami

SUBMITTER: Lorsch ZS 

PROVIDER: S-EPMC8052271 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature