Literature DB >> 20077474

Kinematic and electromyographic tools for characterizing movement disorders in mice.

Hans C Scholle1, H A Jinnah, Dirk Arnold, Frank H W Biedermann, Bernd Faenger, Roland Grassme, Ellen J Hess, Nikolaus P Schumann.   

Abstract

Increasing interest in rodent models for movement disorders has led to an increasing need for more accurate and precise methods for both delineating the nature of abnormal movements and measuring their severity. These studies describe application of simultaneous high-speed video kinematics with multichannel electromyography (EMG) to characterize the movement disorder exhibited by tottering mutant mice. These mice provide a uniquely valuable model, because they exhibit paroxysmal dystonia superimposed on mild baseline ataxia, permitting the examination of these two different problems within the same animals. At baseline with mild ataxia, the mutants exhibited poorly coordinated movements with increased variation of stance and swing times, and slower spontaneous walking velocities. The corresponding EMG showed reduced mean amplitudes of biceps femoris and vastus lateralis, and poorly modulated EMG activities during the step cycle. Attacks of paroxysmal dystonia were preceded by trains of EMG bursts with doublets and triplets simultaneously in the biceps femoris and vastus lateralis followed by more sustained coactivation. These EMG characteristics are consistent with the clinical phenomenology of the motor phenotype of tottering mice as a baseline of mild ataxia with intermittent attacks of paroxysmal dystonia. The EMG characteristics of ataxia and dystonia in the tottering mice also are consistent with EMG studies of other ataxic or dystonic animals and humans. These studies provide insights into how these methods can be used for delineating movement disorders in mice and for how they may be compared with similar disorders of humans. (c) 2010 Movement Disorder Society.

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Year:  2010        PMID: 20077474      PMCID: PMC2925152          DOI: 10.1002/mds.22933

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  37 in total

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Journal:  Mov Disord       Date:  2000-05       Impact factor: 10.338

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Journal:  Exp Brain Res       Date:  2007-01       Impact factor: 1.972

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Authors:  Thomas L Shirley; Lekha M Rao; Ellen J Hess; H A Jinnah
Journal:  Mov Disord       Date:  2008-01-30       Impact factor: 10.338

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Journal:  Mov Disord       Date:  2004-07       Impact factor: 10.338

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Journal:  Mov Disord       Date:  2002-05       Impact factor: 10.338

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  7 in total

Review 1.  The functional neuroanatomy of dystonia.

Authors:  Vladimir K Neychev; Robert E Gross; Stephane Lehéricy; Ellen J Hess; H A Jinnah
Journal:  Neurobiol Dis       Date:  2011-02-12       Impact factor: 5.996

2.  Electromyographic evidence in support of a knock-in mouse model of DYT1 Dystonia.

Authors:  Mark P DeAndrade; Amy Trongnetrpunya; Fumiaki Yokoi; Chad C Cheetham; Ning Peng; J Michael Wyss; Mingzhou Ding; Yuqing Li
Journal:  Mov Disord       Date:  2016-05-31       Impact factor: 10.338

3.  Deep Brain Stimulation of the Interposed Nucleus Reverses Motor Deficits and Stimulates Production of Anti-inflammatory Cytokines in Ataxia Mice.

Authors:  Gajendra Kumar; Pallavi Asthana; Wing Ho Yung; Kin Ming Kwan; Chung Tin; Chi Him Eddie Ma
Journal:  Mol Neurobiol       Date:  2022-05-17       Impact factor: 5.590

4.  Quantifying muscle alterations in a Parkinson's disease animal model using electromyographic biomarkers.

Authors:  Pablo Y Teruya; Fernando D Farfán; Álvaro G Pizá; Jorge H Soletta; Facundo A Lucianna; Ana L Albarracín
Journal:  Med Biol Eng Comput       Date:  2021-07-23       Impact factor: 2.602

5.  Limited regional cerebellar dysfunction induces focal dystonia in mice.

Authors:  Robert S Raike; Carolyn E Pizoli; Catherine Weisz; Arn M J M van den Maagdenberg; H A Jinnah; Ellen J Hess
Journal:  Neurobiol Dis       Date:  2012-07-28       Impact factor: 5.996

6.  Multi-neuronal recordings in the Basal Ganglia in normal and dystonic rats.

Authors:  Mark S Baron; Kunal D Chaniary; Ann C Rice; Steven M Shapiro
Journal:  Front Syst Neurosci       Date:  2011-08-31

7.  Locomotor analysis identifies early compensatory changes during disease progression and subgroup classification in a mouse model of amyotrophic lateral sclerosis.

Authors:  Melissa M Haulcomb; Rena M Meadows; Whitney M Miller; Kathryn P McMillan; MeKenzie J Hilsmeyer; Xuefu Wang; Wesley T Beaulieu; Stephanie L Dickinson; Todd J Brown; Virginia M Sanders; Kathryn J Jones
Journal:  Neural Regen Res       Date:  2017-10       Impact factor: 5.135

  7 in total

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