ArticleNature methods2024
Analysis of behavioral flow resolves latent phenotypes.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Deep Learning-Based Quantification of Spontaneous Pain Behaviours in Mice.European journal of pain (London, England) · 2026Article
- Alterations in the Multivariate Organization of Plasma Fatty Acid Profiles and Spontaneous Behavior in an AlClBiology · 2026Article
- Temporal assessment of behavior in Parkinson's visual hallucinations via a multidimensional analysis strategy.Signal transduction and targeted therapy · 2026Article
- GrimACE: automated, multimodal cage-side assessment of pain and well-being in mice.Lab animal · 2026Article
- Mitochondrial CaNature metabolism · 2026Article
- Review
- Profiling mouse behavior with computational tools to assess age-dependent differences in associative learning.Cell reports methods · 2025Article
- Balancing ethics and statistics: machine learning facilitates highly accurate classification of mice according to their trait anxiety with reduced sample sizes.Translational psychiatry · 2025Article
- Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data.Patterns (New York, N.Y.) · 2025Article
- Forestwalk: A Machine Learning Workflow Brings New Insights Into Posture and Balance in Rodent Beam Walking.The European journal of neuroscience · 2025Article
- Social context restructures behavioral syntax in mice.Frontiers in behavioral neuroscience · 2025Article
- The impact of machine learning on ethological neuroscience.Frontiers in behavioral neuroscience · 2025Review
- Exploratory Rearing Is Governed by Hypothalamic Melanin-Concentrating Hormone Neurons According to Locus Ceruleus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The accurate detection and quantification of rodent behavior forms a cornerstone of basic biomedical research. Current data-driven approaches, which segment free exploratory behavior into clusters, suffer from low statistical power due to multiple testing, exhibit poor transferability across experiments and fail to exploit the rich behavioral profiles of individual animals. Here we introduce a pipeline to capture each animal's behavioral flow, yielding a single metric based on all observed transitions between clusters. By stabilizing these clusters through machine learning, we ensure data transferability, while dimensionality reduction techniques facilitate detailed analysis of individual animals. We provide a large dataset of 771 behavior recordings of freely moving mice-including stress exposures, pharmacological and brain circuit interventions-to identify hidden treatment effects, reveal subtle variations on the level of individual animals and detect brain processes underlying specific interventions. Our pipeline, compatible with popular clustering methods, substantially enhances statistical power and enables predictions of an animal's future behavior.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.