ArticleeNeuro
DBscorer: An Open-Source Software for Automated Accurate Analysis of Rodent Behavior in Forced Swim Test and Tail Suspension Test.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Microglial SIRT6 confers protection against neuroinflammation-associated depression through NRF2-HO1 signaling.Neurobiology of stress · 2026Article
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- Sex-specific relationships between stress coping and avoidance behavior in adult mice.Biology of sex differences · 2026Article
- Overactive Neuronal eEF2K/eEF2 signaling is associated with cognitive impairment and apathy-like behavior.Molecular psychiatry · 2026Article
- TST Score Helper: An Open-Source Graphical User Interface for Assisted Manual Scoring of the Tail Suspension Test.eNeuro · 2026Article
- iMOSS: an integrated open-source tail suspension test platform for high-resolution immobility scoring and synchronization with neural activity.Frontiers in behavioral neuroscience · 2026Article
- Sex-specific relationships between stress coping and avoidance behavior.bioRxiv : the preprint server for biology · 2026Article
- Neurometabolomic impacts of wood smoke and protective benefits of anti-aging therapeutics in aged female C57BL/6J mice.Particle and fibre toxicology · 2025Article
- Machine learning-based model for behavioural analysis in rodents applied to the forced swim test.Scientific reports · 2025Article
- A cell type-specific mechanism driving the rapid antidepressant effects of transcranial magnetic stimulation.bioRxiv : the preprint server for biology · 2025Article
- Instrumented swim test for quantifying motor impairment in rodents.Scientific reports · 2024Article
- Article
- The effects of chronic, continuous β-funaltrexamine pre-treatment on lipopolysaccharide-induced inflammation and behavioral deficits in C57BL/6J mice.Journal of inflammation (London, England) · 2024Article
- Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience.Nature neuroscience · 2024Article
- Translational models of stress and resilience: An applied neuroscience methodology review.Neuroscience applied · 2024Review
- The Impact of Depression on Detrimental Changes in Bone Microstructure in Female Mice.Neuropsychiatric disease and treatment · 2024Article
- Role ofVeterinary world · 2023Article
- Open-source software for automated rodent behavioral analysis.Frontiers in neuroscience · 2023Review
- Investigation of Cochlospermum religiosum leaves for antidepressant and anxiolytic activities and its synergistic effect with imipramine and fluoxetine.Environmental science and pollution research international · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forced swim test (FST) and tail suspension test (TST) are commonly used behavioral tests for screening antidepressant drugs with a high predictive validity. These tests have also proved useful to assess the non-motor symptoms in the animal models of movement disorders such as Parkinson's disease and Huntington's disease. Manual analysis of FST and TST is a time-consuming exercise and has large observer-to-observer variability. Automation of behavioral analysis alleviates these concerns, but there are no easy-to-use open-source tools for such analysis. Here, we describe the development of Depression Behavior Scorer (DBscorer), an open-source program installable on Windows, with an intuitive graphical user interface (GUI), that helps in accurate quantification of immobility behavior in FST and TST from video analysis. Several calibration options allow customization of various parameters to suit the experimental requirements. Apart from the readout of time spent immobile, DBscorer also provides additional data and graphics of immobility/mobility states across time revealing the evolution of behavioral despair over the duration of the test and allows the analysis of additional parameters. Such comprehensive analysis allows a more nuanced understanding of the expression of behavioral despair in FST and TST. We believe that DBscorer would make analysis of behavior in FST and TST unbiased, automated and rapid, and hence prove to be helpful to the wider neuroscience community.
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