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Rotarod Test Analyzer

Enter latency-to-fall data across training days. Get learning curves, AUC comparison, group statistics, and publication-ready plots.

Learning CurvesAUC AnalysisCSV Export

Try it out

Load example rotarod data to see the full workflow

Protocol Configuration

Data Input

Enter latency-to-fall values manually or upload a CSV with columns: animal_id, group, day, trial, latency

Manual Entry

  • Analyze rotarod training data: latency-to-fall learning curves across days and groups
  • Compute AUC (area under the learning curve) for cumulative motor performance comparison
  • Compare motor coordination and motor learning across treatment groups with error bars (mean +/- SEM)
  • Visualize per-animal trajectories to identify individual variability and outliers
  • Export individual and group summary data to CSV for downstream statistics
  • Generate methods text for publication describing your analysis parameters

Don't use for

  • Balance beam, grip strength, or pole test — different motor assays with different metrics
  • Real-time rod speed control or live data acquisition — use ConductVision or dedicated apparatus software for that
  • Gait analysis or footprint patterns — use CatWalk or equivalent gait analysis tools

What Is the Rotarod Test?

The rotarod test was first described by Dunham and Miya in 1957 as a method to evaluate motor coordination and balance in rodents. The apparatus consists of a rotating rod (typically 3-5 cm diameter for mice, 6-8 cm for rats) elevated above a platform or catch tray. The rod is divided into lanes by flanges so multiple animals can be tested simultaneously. When the animal can no longer maintain its balance, it falls onto the platform below, triggering an automatic timer or a photobeam sensor that records the latency to fall. The test has become one of the most widely used behavioral assays in neuroscience and pharmacology due to its simplicity, reliability, and sensitivity to motor deficits caused by cerebellar lesions, neurodegenerative diseases (Huntington, Parkinson, ALS models), drug effects, and genetic mutations affecting motor circuits.

Motor Learning on the Rotarod

When tested repeatedly across multiple days, healthy rodents show a characteristic improvement in latency to fall that reflects motor skill acquisition — a process termed motor learning. This learning depends on synaptic plasticity in the cerebellum, motor cortex, and dorsal striatum. The learning curve typically shows rapid improvement over days 1-3, followed by a plateau by days 4-5. The rate and asymptote of learning are sensitive to genetic background, age, and experimental manipulations. For example, mice with cerebellar Purkinje cell degeneration show preserved initial coordination but impaired learning across days. Motor learning on the rotarod can be quantified by the slope of the learning curve, the improvement ratio (day N latency / day 1 latency), or the AUC of the learning curve. Within-day improvement (trial 1 vs. trial 3 on the same day) reflects short-term motor adaptation, while across-day improvement reflects consolidation of motor memory.

Protocol Variants and Analysis Approaches

The accelerating rotarod protocol (e.g., 4-40 RPM over 300 seconds) is the most common in the current literature and provides the widest dynamic range. Fixed-speed protocols are simpler but prone to ceiling effects (animals staying on for the maximum trial duration) and are less sensitive to subtle impairments. The constant-speed endurance variant runs at a fixed RPM for extended durations to measure fatigue resistance. For analysis, the primary metric is latency to fall (seconds) per trial, averaged across trials within a day to produce daily means per animal. Group means with SEM are plotted as learning curves across days. Statistical analysis typically uses repeated-measures ANOVA with day as the within-subject factor and group as the between-subject factor. Post-hoc comparisons at individual days identify when group differences emerge. AUC analysis provides a single summary statistic per animal that captures cumulative performance and can be compared with simpler t-tests or one-way ANOVA.

Frequently Asked Questions

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