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Jason Friedman's literature database Displays records where serial is equal to 93 2024-04-16T14:03:16+00:00 Jason Friedman's literature database write.to.jason@gmail.com https://refbase.nfshost.com/ Web Reference Database (http://refbase.sourceforge.net) https://refbase.nfshost.com/img/favicon.ico https://refbase.nfshost.com/img/logo.png https://refbase.nfshost.com/show.php?where=serial%20%3D%2093&exportType=xml&submit=Export&exportFormat=Atom%20XML 1 1 1 https://refbase.nfshost.com/show.php?record=93 <div xmlns="http://www.w3.org/1999/xhtml">Relationship Between Spasticity and Upper-Limb Movement Disorders in Individuals With Subacute Stroke Using Stochastic Spatiotemporal Modeling</div> 2019-02-19T14:09:03+00:00 2019-02-19T14:09:03+00:00 Jason Friedman
Davidowitz, I., Parmet, Y., Frenkel-Toledo, S., Banina, M. C., Soroker, N., Solomon, J. M., et al. (2019). Relationship Between Spasticity and Upper-Limb Movement Disorders in Individuals With Subacute Stroke Using Stochastic Spatiotemporal Modeling. Neurorehabil Neural Repair, 33(2), 141–152.
BACKGROUND: Spasticity is common in patients with stroke, yet current quantification methods are insufficient for determining the relationship between spasticity and voluntary movement deficits. This is partly a result of the effects of spasticity on spatiotemporal characteristics of movement and the variability of voluntary movement. These can be captured by Gaussian mixture models (GMMs). OBJECTIVES: To determine the influence of spasticity on upper-limb voluntary motion, as assessed by the bidirectional Kullback-Liebler divergence (BKLD) between motion GMMs. METHODS: A total of 16 individuals with subacute stroke and 13 healthy aged-equivalent controls reached to grasp 4 targets (near-center, contralateral, far-center, and ipsilateral). Two-dimensional GMMs (angle and time) were estimated for elbow extension motion. BKLD was computed for each individual and target, within the control group and between the control and stroke groups. Movement time, final elbow angle, average elbow velocity, and velocity smoothness were computed. RESULTS: Between-group BKLDs were much larger than within control-group BKLDs. Between-group BKLDs for the near-center target were lower than those for the far-center and contralateral targets, but similar to that for the ipsilateral target. For those with stroke, the final angle was lower for the near-center target, and the average velocity was higher. Velocity smoothness was lower for the near-center than for the ipsilateral target. Elbow flexor and extensor passive muscle resistance (Modified Ashworth Scale) strongly explained BKLD values. CONCLUSIONS: Results support the view that individuals with poststroke spasticity have a velocity-dependent reduction in active elbow joint range and that BKLD can be used as an objective measure of the effects of spasticity on reaching kinematics.
Relationship Between Spasticity and Upper-Limb Movement Disorders in Individuals With Subacute Stroke Using Stochastic Spatiotemporal Modeling Davidowitz, I. Parmet, Y. Frenkel-Toledo, S. Banina, M.C. Soroker, N. Solomon, J.M. Liebermann, D.G. Levin, M.F. Berman, S. info:doi/10.1177/1545968319826050 info:pmid/30744528 openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fhttps%3A%2F%2Frefbase.nfshost.com%2F&genre=article&atitle=Relationship%20Between%20Spasticity%20and%20Upper-Limb%20Movement%20Disorders%20in%20Individuals%20With%20Subacute%20Stroke%20Using%20Stochastic%20Spatiotemporal%20Modeling&title=Neurorehabilitation%20and%20Neural%20Repair&stitle=Neurorehabil%20Neural%20Repair&issn=1545-9683&date=2019&volume=33&issue=2&spage=141&epage=152&aulast=Davidowitz&aufirst=I.&au=Parmet%2C%20Y.&au=Frenkel-Toledo%2C%20S.&au=Banina%2C%20M.C.&au=Soroker%2C%20N.&au=Solomon%2C%20J.M.&au=Liebermann%2C%20D.G.&au=Levin%2C%20M.F.&au=Berman%2C%20S.&id=info%3Adoi%2F10.1177%2F1545968319826050&sid=refbase%3AJF citekey:Davidowitz_etal2019 Davidowitz, I., Parmet, Y., Frenkel-Toledo, S., Banina, M. C., Soroker, N., Solomon, J. M., et al. (2019). Relationship Between Spasticity and Upper-Limb Movement Disorders in Individuals With Subacute Stroke Using Stochastic Spatiotemporal Modeling. Neurorehabil Neural Repair, 33(2), 141-152. 2019 JournalArticle text Gaussian mixture model Kullback-Liebler divergence spasticity stroke upper-limb kinematics url:http://www.ncbi.nlm.nih.gov/pubmed/30744528 English 1545-9683 Neurorehabilitation and Neural Repair 2019 33 2 141 152