ArticleScientific reports2022
Automated analysis of activity, sleep, and rhythmic behaviour in various animal species with the Rtivity software.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed.
- Early motor deficits, sleep dysfunction and reduction in dopaminergic neurons in a PARK7Scientific reports · 2026Article
- GIGEM (Group Isolation Gauge Effect Metrics), A Software Suite for Analyzing Social Isolation-Induced Sleep Loss and Multi-Batch Experiments inbioRxiv : the preprint server for biology · 2025Article
- Daily activity rhythms, sleep and pregnancy are fundamentally related in the Pacific beetle mimic cockroach, Diploptera punctata.The Journal of experimental biology · 2025Article
- Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.Sleep · 2025Article
- RuvBL1/2 reduce toxic dipeptide repeat protein burden in multiple models of C9orf72-ALS/FTD.Life science alliance · 2025Article
- Review
- Activity Monitoring for Analysis of Sleep inCold Spring Harbor protocols · 2024Article
- Tapeworm infection affects sleep-like behavior in three-spined sticklebacks.Scientific reports · 2024Article
- Flight to insight: maximizing the potential ofFrontiers in molecular neuroscience · 2024Article
- Development and validation of a sleep questionnaire, SNoRE 3.0, to evaluate sleep in companion dogs.Scientific reports · 2023Article
- A novel method for automatically analysing the activity of fast-moving animals: a case study of Callimico goeldii monkeys housed in a zoological garden.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Behavioural studies provide insights into normal and disrupted biological mechanisms. In many research areas, a growing spectrum of animal models-particularly small organisms-is used for high-throughput studies with infrared-based activity monitors, generating counts per time data. The freely available software to analyse such data, however, are primarily optimized for drosophila and circadian analysis. Researchers investigating other species or non-circadian behaviour would thus benefit from a more versatile software. Here we report the development of a free and open-source software-Rtivity-allowing customisation of species-specific parameters, and offering a versatile analysis of behavioural patterns, biological rhythms, stimulus responses, and survival. Rtivity is based on the R language and uses Shiny and the recently developed Rethomics package for a user-friendly graphical interface without requiring coding skills. Rtivity automatically assesses survival, computes various activity, sleep, and rhythmicity parameters, and performs fractal analysis of activity fluctuations. Rtivity generates multiple informative graphs, and exports structured data for efficient interoperability with common statistical software. In summary, Rtivity facilitates and enhances the versatility of the behavioural analysis of diverse animal species (e.g. drosophila, zebrafish, daphnia, ants). It is thus suitable for a broad range of researchers from multidisciplinary fields such as ecology, neurobiology, toxicology, and pharmacology.
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