ArticleScientific reports2024
Automated procedure to detect subtle motor alterations in the balance beam test in a mouse model of early Parkinson's disease.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- Neuroprotective effects of Premna integrifolia nano-phytosomes in haloperidol-induced Parkinson's rat model: A computational-guided Olivil nanoformulation delivery approach.Metabolic brain disease · 2026Article
- Sex-Dependent Dynamics of Behavioural and Neuropathological Changes in an A53T Alpha-Synuclein Mouse Model of Parkinson's Disease.Cellular and molecular neurobiology · 2026Article
- Comparative Evaluation of DeepLabCut Convolutional Neural Network Architectures for High-Precision Markerless Tracking in the Mouse Staircase Test.Bioengineering (Basel, Switzerland) · 2026Article
- Gait and posture analysis in rats with Parkinson's disease using DeepLabCut during beam test.Open veterinary journal · 2025Article
- Article
- Anatomical and behavioral characterization of three hemiplegic animal models.BMC neuroscience · 2025Article
- Subtle behavioral alterations in the spontaneous behaviors of MPTP mouse model of Parkinson's disease.Translational psychiatry · 2025Article
- Review
- Forestwalk: A Machine Learning Workflow Brings New Insights Into Posture and Balance in Rodent Beam Walking.The European journal of neuroscience · 2025Article
- Phenotypic analysis of ataxia in spinocerebellar ataxia type 6 mice using DeepLabCut.Scientific reports · 2024Article
- Quantitative orbital tightening for pain assessment using machine learning with DeepLabCut.Neurobiology of pain (Cambridge, Mass.)Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Parkinson's disease (PD) is the most common motor neurodegenerative disorder, characterised by aggregated α-synuclein (α-syn) constituting Lewy bodies. We aimed to investigate temporal changes in motor impairments in a PD mouse model induced by overexpression of α-syn with the conventional manual analysis of the balance beam test and a novel approach using machine learning algorithms to automate behavioural analysis. We combined automated animal tracking using markerless pose estimation in DeepLabCut, with automated behavioural classification in Simple Behavior Analysis. Our automated procedure was able to detect subtle motor deficits in mouse performances in the balance beam test that the manual analysis approach could not assess. The automated model revealed time-course significant differences for the "walking" behaviour in the mean interval between each behavioural bout, the median event bout duration and the classifier probability of occurrence in male PD mice, even though no statistically significant loss of tyrosine hydroxylase in the nigrostriatal system was found in either sex. These findings are valuable for early detection of motor impairment in early PD animal models. We provide a user-friendly, step-by-step guide for automated assessment of mouse performances in the balance beam test, which aims to be replicable without any significant computational and programming knowledge.
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