ArticleeNeuro
A Novel Automated Approach for Improving Standardization of the Marble Burying Test Enables Quantification of Burying Bouts and Activity Characteristics.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- A narrative review of behavioral tests across mammalian models in neuroscience.Behavioral and brain functions : BBF · 2026Review
- Activation of GABA transmission by clonazepam reverses the autistic-like phenotypes of the Cav3.2 knockout mice.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- The 16p11.2 microdeletion influences how early-life microbiota perturbations affect hippocampal development and behavior throughout the lifespan.bioRxiv : the preprint server for biology · 2025Article
- NEXMIF overexpression is associated with autism-like behaviors and alterations in dendritic arborization and spine formation in mice.Frontiers in neuroscience · 2025Article
- Multiparametric Assays Capture Sex- and Environment-Dependent Modifiers of Behavioral Phenotypes in Autism Mouse Models.Biological psychiatry global open science · 2024Article
- Purkinje cell hyperexcitability and depressive-like behavior in mice lacking erg3 (ether-à-go-go-related gene) KScience advances · 2024Article
- Morphological and behavioral analysis of Slc35f1-deficient mice revealed no neurodevelopmental phenotype.Brain structure & function · 2023Article
- Biallelic PAX5 mutations cause hypogammaglobulinemia, sensorimotor deficits, and autism spectrum disorder.The Journal of experimental medicine · 2022Article
- Brain region and gene dosage-differential transcriptomic changes inFrontiers in molecular neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.