ArticleCommunications biology2022
A deep learning-based toolbox for Automated Limb Motion Analysis (ALMA) in murine models of neurological disorders.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Cross-species identification of conserved and divergent locomotor kinematic strategies using AutoGaitA.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Millimeter-Wave Body-Centric Radar Sensing for Continuous Monitoring of Human Gait Dynamics.Sensors (Basel, Switzerland) · 2026Article
- Widefield cortical activity and functional connectivity during motorized locomotion.Communications biology · 2026Article
- Recovery in gait and posture: a network-based approach to the assessment of rehabilitation effectiveness after spinal cord injury.Frontiers in network physiology · 2026Article
- Development of a deep learning-based grid walking test for assessing post-stroke motor function in mice.Frontiers in behavioral neuroscience · 2026Article
- Time-dependent changes in stepping performance and velocity following partial dopaminergic lesions in the SNc of male and female rats.PloS one · 2026Article
- Respiratory chain gene mutations associated with global phylogenetic clustering of drug-resistantFrontiers in immunology · 2026Article
- Gait and posture analysis in rats with Parkinson's disease using DeepLabCut during beam test.Open veterinary journal · 2025Article
- An autonomous AI agent for universal behavior analysis.bioRxiv : the preprint server for biology · 2025Article
- Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.eLife · 2025Article
- PI3K-Akt signalling regulates Scx-lineage tenocytes and Tppp3-lineage paratenon sheath cells in neonatal tendon regeneration.Nature communications · 2025Article
- A deep learning-based system for automatic detection of emesis with high accuracy in Suncus murinus.Communications biology · 2025Article
- Article
- A Survey on AI-Driven Mouse Behavior Analysis Applications and Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- A deep learning-based approach for unbiased kinematic analysis in CNS injury.Experimental neurology · 2024Article
- Refined movement analysis in the staircase test reveals differential motor deficits in mouse models of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Coordinated neurostimulation promotes circuit rewiring and unlocks recovery after spinal cord injury.The Journal of experimental medicine · 2023Article
- Synaptogenic gene therapy with FGF22 improves circuit plasticity and functional recovery following spinal cord injury.EMBO molecular medicine · 2023Article
- An integrated workflow for 2D and 3D posture analysis during vestibular system testing in mice.Frontiers in neurology · 2023Article
- Deep learning-based behavioral profiling of rodent stroke recovery.BMC biology · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
In neuroscience research, the refined analysis of rodent locomotion is complex and cumbersome, and access to the technique is limited because of the necessity for expensive equipment. In this study, we implemented a new deep learning-based open-source toolbox for Automated Limb Motion Analysis (ALMA) that requires only basic behavioral equipment and an inexpensive camera. The ALMA toolbox enables the consistent and comprehensive analyses of locomotor kinematics and paw placement and can be applied to neurological conditions affecting the brain and spinal cord. We demonstrated that the ALMA toolbox can (1) robustly track the evolution of locomotor deficits after spinal cord injury, (2) sensitively detect locomotor abnormalities after traumatic brain injury, and (3) correctly predict disease onset in a multiple sclerosis model. We, therefore, established a broadly applicable automated and standardized approach that requires minimal financial and time commitments to facilitate the comprehensive analysis of locomotion in rodent disease models.
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