ArticleNeuron2021
Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire.
Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
82 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Does advancement in marker-less pose-estimation mean more quality research? A systematic review.Frontiers in behavioral neuroscience · 2025Pooled it
- Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- DeepFaceMouse enables scalable prediction of large-scale brain activity from facial dynamics in mice.Cell reports methods · 2026Article
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Toward video-LLM driven workflow for behavioral segmentation and scoring in mice performing a skilled water-reaching task: an evaluation of recent LLM models.Neurophotonics · 2026Article
- Embodied postural dynamics underlie behavioral diversity in a benthic sessile chordate.iScience · 2026Article
- Beast3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting.ArXiv · 2026Article
- Using timescale as a state coordinate reveals the metastable geometry of behavior.bioRxiv : the preprint server for biology · 2026Article
- A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis.Integrative zoology · 2026Article
- AVATAR: AI Vision Analysis for Three-dimensional Action in Real-time.Experimental neurobiology · 2026Article
- Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation.bioRxiv : the preprint server for biology · 2026Article
- A spinal substrate for modular control of natural behavior.bioRxiv : the preprint server for biology · 2026Article
- Deep Imputation for Skeleton data (DISK) for behavioral science.Nature methods · 2026Article
- A novel behavioral paradigm using mice to study predictive postural control.Frontiers in neuroscience · 2026Article
- Assessing attentiveness and cognitive engagement across tasks using video-based action understanding in non-human primates.Journal of neuroscience methods · 2025Article
- AccelerometerBehavior: R Package for Classifying Ungulate Behaviors Into Three States.Ecology and evolution · 2025Article
- Cortex-Wide Substrates for Body Schema and Action Awareness.bioRxiv : the preprint server for biology · 2025Article
- High-resolution in vivo kinematic tracking with customized injectable fluorescent nanoparticles.Science advances · 2025Article
- DISSeCT: An unsupervised framework for high-resolution mapping of rodent behavior using inertial sensors.PLoS biology · 2025Article
- Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges.Epilepsia open · 2025Review
22 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In mammalian animal models, high-resolution kinematic tracking is restricted to brief sessions in constrained environments, limiting our ability to probe naturalistic behaviors and their neural underpinnings. To address this, we developed CAPTURE (Continuous Appendicular and Postural Tracking Using Retroreflector Embedding), a behavioral monitoring system that combines motion capture and deep learning to continuously track the 3D kinematics of a rat's head, trunk, and limbs for week-long timescales in freely behaving animals. CAPTURE realizes 10- to 100-fold gains in precision and robustness compared with existing convolutional network approaches to behavioral tracking. We demonstrate CAPTURE's ability to comprehensively profile the kinematics and sequential organization of natural rodent behavior, its variation across individuals, and its perturbation by drugs and disease, including identifying perseverative grooming states in a rat model of fragile X syndrome. CAPTURE significantly expands the range of behaviors and contexts that can be quantitatively investigated, opening the door to a new understanding of natural behavior and its neural basis.
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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.