Literature DB >> 21538531

The modified bradykinesia rating scale for Parkinson's disease: reliability and comparison with kinematic measures.

Dustin A Heldman1, Joseph P Giuffrida, Robert Chen, Megan Payne, Filomena Mazzella, Andrew P Duker, Alok Sahay, Sang Jin Kim, Fredy J Revilla, Alberto J Espay.   

Abstract

Bradykinesia encompasses slowness, decreased movement amplitude, and dysrhythmia. Unified Parkinson's Disease Rating Scale-based bradykinesia-related items require that clinicians condense abnormalities in speed, amplitude, fatiguing, hesitations, and arrests into a single score. The objective of this study was to evaluate the reliability of a modified bradykinesia rating scale, which separately assesses speed, amplitude, and rhythm and its correlation with kinematic measures from motion sensors. Fifty patients with Parkinson's disease performed Unified Parkinson's Disease Rating Scale-directed finger tapping, hand grasping, and pronation-supination while wearing motion sensors. Videos were rated blindly and independently by 4 clinicians. The modified bradykinesia rating scale and Unified Parkinson's Disease Rating Scale demonstrated similar inter- and intrarater reliability. Raters placed greater weight on amplitude than on speed or rhythm when assigning a Unified Parkinson's Disease Rating Scale score. Modified bradykinesia rating scale scores for speed, amplitude, and rhythm correlated highly with quantitative kinematic variables. The modified bradykinesia rating scale separately captures bradykinesia components with interrater and intrarater reliability similar to that of the Unified Parkinson's Disease Rating Scale. Kinematic sensors can accurately quantify speed, amplitude, and rhythm to aid in the development and evaluation of novel therapies in Parkinson's disease.
Copyright © 2011 Movement Disorder Society.

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Year:  2011        PMID: 21538531      PMCID: PMC3324112          DOI: 10.1002/mds.23740

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


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  56 in total

1.  Differential response of speed, amplitude, and rhythm to dopaminergic medications in Parkinson's disease.

Authors:  Alberto J Espay; Joe P Giuffrida; Robert Chen; Megan Payne; Filomena Mazzella; Emily Dunn; Jennifer E Vaughan; Andrew P Duker; Alok Sahay; Sang Jin Kim; Fredy J Revilla; Dustin A Heldman
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Review 2.  Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature.

Authors:  Itay Teshuva; Inbar Hillel; Eran Gazit; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
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3.  Impact of regional striatal dopaminergic function on kinematic parameters of Parkinson's disease.

Authors:  Myung Jun Lee; Sha-Lom Kim; Chul Hyoung Lyoo; J O Rinne; Myung-Sik Lee
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5.  Motion sensor strategies for automated optimization of deep brain stimulation in Parkinson's disease.

Authors:  Christopher L Pulliam; Dustin A Heldman; Tseganesh H Orcutt; Thomas O Mera; Joseph P Giuffrida; Jerrold L Vitek
Journal:  Parkinsonism Relat Disord       Date:  2015-02-11       Impact factor: 4.891

6.  Feasibility of home-based automated Parkinson's disease motor assessment.

Authors:  Thomas O Mera; Dustin A Heldman; Alberto J Espay; Megan Payne; Joseph P Giuffrida
Journal:  J Neurosci Methods       Date:  2011-09-29       Impact factor: 2.390

7.  Quantitative analysis of gait and balance response to deep brain stimulation in Parkinson's disease.

Authors:  Thomas O Mera; Danielle E Filipkowski; David E Riley; Christina M Whitney; Benjamin L Walter; Steven A Gunzler; Joseph P Giuffrida
Journal:  Gait Posture       Date:  2012-12-05       Impact factor: 2.840

8.  Automated motion sensor quantification of gait and lower extremity bradykinesia.

Authors:  Dustin A Heldman; Danielle E Filipkowski; David E Riley; Christina M Whitney; Benjamin L Walter; Steven A Gunzler; Joseph P Giuffrida; Thomas O Mera
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9.  Quantitative assessment of finger tapping characteristics in mild cognitive impairment, Alzheimer's disease, and Parkinson's disease.

Authors:  David R Roalf; Petra Rupert; Dawn Mechanic-Hamilton; Laura Brennan; John E Duda; Daniel Weintraub; John Q Trojanowski; David Wolk; Paul J Moberg
Journal:  J Neurol       Date:  2018-04-04       Impact factor: 4.849

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Authors:  Matteo Bologna; Giulia Paparella; Alfonso Fasano; Mark Hallett; Alfredo Berardelli
Journal:  Brain       Date:  2020-03-01       Impact factor: 13.501

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