Evidence map›Paper›PMID 26976724›Full record

ArticleJournal of neuroscience methods2016

The supination assessment task: An automated method for quantifying forelimb rotational function in rats.

Eric Meyers, Anil Sindhurakar, Rachel Choi, Ruby Solorzano, Taylor Martinez, Andrew Sloan, Jason Carmel, Michael P Kilgard, Robert L Rennaker, Seth Hays

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Eric MeyersThe University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road, Richardson, TX 75080-3021, United States; The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX 75080-3021, United States. Electronic address: ecm081000@utdallas.edu.
Anil SindhurakarBurke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States.
Rachel ChoiThe University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, GR41, Richardson, TX 75080-3021, United States.
Ruby SolorzanoThe University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road, Richardson, TX 75080-3021, United States.
Taylor MartinezThe University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, GR41, Richardson, TX 75080-3021, United States.
Andrew SloanVulintus Inc., 17217 Waterview Pkwy, Ste 1.202BB, Dallas, TX 75252, United States.
Jason CarmelBurke Medical Research Institute, 785 Mamaroneck Avenue, White Plains, NY 10605, United States; Weill Cornell Medical College, Brain Mind Research Institute and Departments of Neurology and Pediatrics, United States.
Michael P KilgardThe University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road, Richardson, TX 75080-3021, United States; The University of Texas at Dallas, School of Behavioral Brain Sciences, 800 West Campbell Road, GR41, Richardson, TX 75080-3021, United States; The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX 75080-3021, United States.
Robert L RennakerThe University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road, Richardson, TX 75080-3021, United States; Vulintus Inc., 17217 Waterview Pkwy, Ste 1.202BB, Dallas, TX 75252, United States; The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX 75080-3021, United States.
Seth HaysThe University of Texas at Dallas, Texas Biomedical Device Center, 800 West Campbell Road, Richardson, TX 75080-3021, United States; The University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, 800 West Campbell Road, Richardson, TX 75080-3021, United States.
Texas Biomedical Research Institute · USThe University of Texas at Dallas · USBurke Medical Research Institute · USVulintus (United States) · US

Funding

Vagus Nerve Stimulation Paired with Rehabilitative Training to Enhance PlasticityR01NS085167 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P, RENNAKER, ROBERT L · 2014 to 2018
$1.9M
Animal Model of Speech Sound Processing in AutismR01DC010433 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P · 2010 to 2014
$1.4M
Development of a turnkey system for assessing forelimb function in rats and mice.R44NS086344 · NINDS · VULINTUS, LLC · PI SLOAN, ANDREW MICHAEL · 2014 to 2015
$981k
Injury and adaptation in the developing rat corticospinal and rubrospinal tractsK08NS073796 · NINDS · WINIFRED MASTERSON BURKE MED RES INST · PI CARMEL, JASON BRANT · 2011 to 2015
$910k
Cortical Plasticity and Processing of Speech SoundsR15DC006624 · NIDCD · UNIVERSITY OF TEXAS DALLAS · PI KILGARD, MICHAEL P · 2004 to 2006
$266k
The knob supination task: a sensitive test of corticospinal function in the ratR03NS091737 · NINDS · WINIFRED MASTERSON BURKE MED RES INST · PI CARMEL, JASON BRANT · 2015 to 2016
$187k
NIDCD NIH HHS R01 DC010433NIDCD NIH HHS R15 DC006624NINDS NIH HHS K08 NS073796NINDS NIH HHS R01 NS085167NINDS NIH HHS R03 NS091737NINDS NIH HHS R44 NS086344
6 · The paper itself

Abstract

backgroundNeurological injuries or disease can impair the function of motor circuitry controlling forearm supination, and recovery is often limited. Preclinical animal models are essential tools for developing therapeutic interventions to improve motor function after neurological damage. Here we describe the supination assessment task, an automated measure of quantifying forelimb supination in the rat. NEW

methodAnimals were trained to reach out of a slot in a cage, grasp a spherical manipulandum, and supinate the forelimb. The angle of the manipulandum was measured using a rotary encoder. If the animal exceeded the predetermined turn angle, a reward pellet was delivered. This automated task provides a large, high-resolution dataset of turn angle over time. Multiple parameters can be measured including success rate, peak turn angle, turn velocity, area under the curve, and number of rotations per trial. The task provides a high degree of flexibility to the user, with both software and hardware parameters capable of being adjusted.

resultsWe demonstrate the supination assessment task can effectively measure significant deficits in multiple parameters of rotational motor function for multiple weeks in two models of ischemic stroke. COMPARISON WITH EXISTING

methodsPreexisting motor assays designed to measure forelimb supination in the rat require high-speed video analysis techniques. This operant task provides a high-resolution, quantitative end-point dataset of turn angle, which obviates the necessity of video analysis.

conclusionsThe supination assessment task represents a novel, efficient method of evaluating forelimb rotation and may help decrease the cost and time of running experiments.

Indexed as

SupinationAnimalsAutomation, LaboratoryBiomechanical PhenomenaBrain IschemiaConditioning, OperantDisease Models, AnimalEquipment DesignFemaleMotor CortexRats, Sprague-DawleyRotationSoftwareStrokeAutomated taskForelimbMotor functionOperant behaviorStrokeSupination

Identifiers

PMID26976724
PMCPMC5081185
OpenAlexW2295305057

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.