Evidence map›Paper›PMID 24129039›Full record

ArticleJournal of neuroscience methods2014

Three-dimensional rodent motion analysis and neurodegenerative disorders.

Tasos Karakostas, Simon Hsiang, Heather Boger, Lawrence Middaugh, Ann-Charlotte Granholm

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Tasos KarakostasMotion Analysis Center and Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL, USA; Department of Physical Therapy, Medical University of South Carolina, Charleston, SC, USA; Department of Orthopaedic Surgery, Northwestern University, Chicago, IL, USA. Electronic address: tkarakosta@ric.org.
Simon HsiangDepartment of Industrial Engineering, Texas Tech University, Lubbock, TX, USA.
Heather BogerDepartments of Neurosciences and Psychiatry, and The Center on Aging, Medical University of South Carolina, Charleston, SC, USA.
Lawrence MiddaughDepartments of Neurosciences and Psychiatry, and The Center on Aging, Medical University of South Carolina, Charleston, SC, USA.
Ann-Charlotte GranholmDepartments of Neurosciences and Psychiatry, and The Center on Aging, Medical University of South Carolina, Charleston, SC, USA.

Funding

NEUROINFLAMMATION AND THE AGED DOPINERGIC SYSTEMP01AG023630 · NIA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER · 2005 to 2011
$5.3M
NIA NIH HHS AG023630NIA NIH HHS P01 AG023630
6 · The paper itself

Abstract

backgroundThree-dimensional (3D) motion analysis is established in investigating, human pathological motion. In the field of gait, its use results in the objective identification of primary, and secondary causes of deviations, many current interventions are the result of pre- and post-testing, and it was shown recently that it can result in decreased number of surgeries and overall cost of care. Consequently, recent attempts have implemented 3D motion analysis using rat models to study, parkinsonism. However, to-date, a 3D user friendly analytical approach using rodent models to, identify etiologies of age-related motor impairment and accompanying pathologies has not been, implemented. NEW

methodWe have developed and presented all aspects of a 3D, three body-segment rodent model, to analyze motions of the lower, upper and head segments between rodents of parkinsonism-type and, normal aging during free walking. Our model does not require transformation matrices to describe the, position of each body-segment. Because body-segment positions are not considered to consist of three, rotations about the laboratory axes, the rotations are not sequence dependent.

resultsEach body-segment demonstrated distinct 3D movement patterns. The parkinsonism-type, genotype walked slower with less range of motion, similarly to patients with parkinsonism. COMPARISON WITH EXISTING

methodsThis is the first model considering the rodent's body as three, distinct segments. To the best of our knowledge, it is the first model to ever consider and report the 3D, head motion patterns.

conclusionsThis novel approach will allow unbiased analysis of spontaneous locomotion in mouse, models of parkinsonism or normal aging.

Indexed as

Models, BiologicalActigraphyAgingAlgorithmsAnimalsBiomechanical PhenomenaDisease Models, AnimalGlial Cell Line-Derived Neurotrophic FactorHeadMiceMice, TransgenicNeurodegenerative DiseasesParkinsonian DisordersWalkingGdnf protein, mouseGlial Cell Line-Derived Neurotrophic FactorAgingKinematicsMotion analysisMovement disordersMovement functionParkinson's disease

Identifiers

PMID24129039
PMCPMC4847439

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Registered trials

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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.