A Novel Automated Approach for Improving Standardization of the Marble Burying Test Enables Quantification of Burying Bouts and Activity Characteristics

L. Wahl, A. M. Punt, T. Arbab, I. Willuhn, Y. Elgersma, A. Badura*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
11 Downloads (Pure)

Abstract

The marble burying test is a commonly used paradigm to describe phenotypes in mouse models of neurodevelop-mental 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 dy-namics. 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: Ube3a m-/p+ [Angelman syndrome (AS) model], Shank2 / (autism model), and Sapap3 / [obsessive-compulsive disorder (OCD) model] mice. The classifier scored burying behavior accurately and consistent with the previously reported phenotype of the Ube3a m-/p+ mice, which showed decreased levels of burying compared with controls. Shank2 / mice showed a similar pattern of decreased burying behavior, which was not found in Sapap3 / mice. Tracking mouse behavior throughout the test revealed hypoactivity in Ube3a m-/p+ and hyperactivity in the Shank2 / mice, indicating that mouse activity is unrelated to burying behavior. Reducing activity with midazolam in Shank2 / mice did not alter the burying behavior. Together, we demonstrate that our classifier is an accurate method for the analysis of the marble burying test, providing more information than currently used methods.

Original languageEnglish
Article numberENEURO.0446-21.2022
JournaleNeuro
Volume9
Issue number2
DOIs
Publication statusPublished - 1 Mar 2022

Bibliographical note

Funding Information:
This work was supported by Netherlands Organization for Scientific Research (NWO) Grants VIDI/917.18.380,2018/ZonMw (to A.B.) and VIDI 864.14.010,2015/ 06367/ALW (to I.W.), the NWO Gravitation Program BRAINSCAPES 024.004.012 (to I.W.), the Foundation for OCD Research (I.W.), and the Amsterdam Brain and Cognition (ABC) Project Grant 2021 (to T.A. and I.W.).

Publisher Copyright:
© 2022 Wahl et al.

Fingerprint

Dive into the research topics of 'A Novel Automated Approach for Improving Standardization of the Marble Burying Test Enables Quantification of Burying Bouts and Activity Characteristics'. Together they form a unique fingerprint.

Cite this