ArticleeLife2020
A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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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.
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
12 citing papers in PubMed, 27 citations in OpenAlex.
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- Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges.Epilepsia open · 2025Review
- Experience-driven competition in neural reorganization after stroke.The Journal of physiology · 2025Review
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- Automated system for training and assessing reaching and grasping behaviors in rodents.Journal of neuroscience methods · 2024Article
- Oppositions, joints, and targets: the attractors that are the glue of social interactions.Frontiers in behavioral neuroscience · 2024Review
- Deep learning-based behavioral profiling of rodent stroke recovery.BMC biology · 2022Article
- Multidimensional analysis of behavior predicts genotype with high accuracy in a mouse model of Angelman syndrome.Translational psychiatry · 2022Article
- Inertial Measurement of Head Tilt in Rodents: Principles and Applications to Vestibular Research.Sensors (Basel, Switzerland) · 2021Article
- Automation of training and testing motor and related tasks in pre-clinical behavioural and rehabilitative neuroscience.Experimental neurology · 2021Review
- A Matlab-based toolbox for characterizing behavior of rodents engaged in string-pulling.eLife · 2020Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
String-pulling by rodents is a behavior in which animals make rhythmical body, head, and bilateral forearm as well as skilled hand movements to spontaneously reel in a string. Typical analysis includes kinematic assessment of hand movements done by manually annotating frames. Here, we describe a Matlab-based software that allows whole-body motion characterization using optical flow estimation, descriptive statistics, principal component, and independent component analyses as well as temporal measures of Fano factor, entropy, and Higuchi fractal dimension. Based on image-segmentation and heuristic algorithms for object tracking, the software also allows tracking of body, ears, nose, and forehands for estimation of kinematic parameters such as body length, body angle, head roll, head yaw, head pitch, and path and speed of hand movements. The utility of the task and software is demonstrated by characterizing postural and hand kinematic differences in string-pulling behavior of two strains of mice, C57BL/6 and Swiss Webster.
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What OpenQuestion holds
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.