Artikel ; Online: A Novel Automated Approach for Improving Standardization of the Marble Burying Test Enables Quantification of Burying Bouts and Activity Characteristics.
2022 Band 9, Heft 2
Abstract: The marble burying test is a commonly used paradigm to describe phenotypes in mouse models of neurodevelopmental and psychiatric disorders. The current methodological approach relies predominantly on reporting the number of buried marbles at the end of ... ...
Abstract | The marble burying test is a commonly used paradigm to describe phenotypes in mouse models of neurodevelopmental and psychiatric disorders. The current methodological approach relies predominantly on reporting the number of buried marbles at the end of the test. By measuring the proxy of the behavior (buried marbles), many important characteristics regarding the temporal aspect of this assay are lost. Here, we introduce a novel, automated method to quantify mouse behavior during the marble burying test with the focus on the burying bouts and movement dynamics. Using open-source software packages, we trained a supervised machine learning algorithm (the "classifier") to distinguish burying behavior in freely moving mice. In order to confirm the classifier's accuracy and characterize burying events in high detail, we performed the marble burying test in three mouse models: |
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Mesh-Begriff(e) | Animals ; Behavior, Animal ; Calcium Carbonate ; Disease Models, Animal ; Humans ; Mice ; Nerve Tissue Proteins ; Obsessive-Compulsive Disorder ; Reference Standards |
Chemische Substanzen | Nerve Tissue Proteins ; Sapap3 protein, mouse ; Shank2 protein, mouse ; Calcium Carbonate (H0G9379FGK) |
Sprache | Englisch |
Erscheinungsdatum | 2022-04-01 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2800598-3 |
ISSN | 2373-2822 ; 2373-2822 |
ISSN (online) | 2373-2822 |
ISSN | 2373-2822 |
DOI | 10.1523/ENEURO.0446-21.2022 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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