Grooming Bout Frequency
Number of discrete grooming episodes per session, segmented by inter-bout pauses exceeding 1 second
Automated detection and quantification of self-directed grooming behavior.
Metrics automatically extracted by ConductVision.
Number of discrete grooming episodes per session, segmented by inter-bout pauses exceeding 1 second
Total time spent in grooming behavior across all body regions, as fraction of total observation time
Distribution of grooming effort across anterior (head/eyes), posterior (abdomen/wings), and leg-rubbing regions
Fold-change in grooming rate after dust coating or chemical irritant application, versus pre-stimulus baseline
Average inter-bout interval between successive grooming episodes, reflecting compulsive versus deliberate grooming drives
Proportion of grooming bouts following the canonical anterior-to-posterior chain, disrupted in sensory-processing mutants
Time spent on head and eye cleaning versus abdomen and wing sweeping, shifted in mechanosensory and nociceptive mutants
Time from dust application to first grooming bout onset, measuring sensory detection threshold and motor initiation
Synchrony of left-right leg movements during head grooming, sensitive to central pattern generator and motor circuit deficits
Locomotor activity level in the 30 seconds after a grooming bout ends, indexing behavioral state transitions
Drosophila grooming follows a stereotyped anterior-to-posterior sequence: head cleaning, thorax brushing, wing sweeping, and abdominal grooming. Grooming is increased by sensory stimulation (dust coating) and disrupted by mutations affecting sensory processing, motor coordination, and OCD-like repetitive behavior circuits.
ConductVision uses pose estimation to classify grooming sub-behaviors by detecting characteristic leg movements and body postures. The software outputs bout frequency, duration, body-region distribution, and sequence fidelity for genetic screens of compulsive and sensory-processing phenotypes.
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