Literature DB >> 19768729

A novel method for systematic analysis of rigidity in Parkinson's disease.

Takayuki Endo1, Ryuhei Okuno, Masaru Yokoe, Kenzo Akazawa, Saburo Sakoda.   

Abstract

We propose a novel system that analyzes the components of rigidity in Parkinson's disease (PD) usually perceived by physicians, in a very simple and systematic way for routine clinical practice. Our system is composed of two compact force sensors, a gyroscope, and EMG surface electrodes. Muscle tone was assessed in 24 healthy elderly subjects and 27 PD patients by passive extension and flexion of the elbow joint with ramp-and-hold trajectory. Torque and angle data in the dynamic phase were used to calculate "elastic coefficients" in extension and flexion, and the mean value of torque in each dynamic phase at each joint angle (defined as "Bias") was also calculated. The muscle activity index in the static phase (EMG Index) was obtained for both biceps brachii (BB) and triceps brachii (TB) muscles. "Elastic coefficients," sum of the "difference of Bias" and "EMG Index" for BB all correlated well with UPDRS score. Based on our results, Parkinsonian rigidity consists of both an "elastic" component and a "difference of Bias" component, and neurologists may assess greater rigidity when either one or both components are high in value. The EMG index was useful for differentiating PD patients with slight rigidity from healthy elderly adults.

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Year:  2009        PMID: 19768729     DOI: 10.1002/mds.22752

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


  18 in total

1.  A Comparison of the Effects of Continuous versus Discontinuous Movement Patterns on Parkinsonian Rigidity and Reflex Responses to Passive Stretch and Shortening.

Authors:  Douglas Powell; Anburaj Muthumani; RuiPing Xia
Journal:  J Nat Sci       Date:  2016

2.  Walking in circles: navigation deficits from Parkinson's disease but not from cerebellar ataxia.

Authors:  C Paquette; E Franzén; G M Jones; F B Horak
Journal:  Neuroscience       Date:  2011-06-14       Impact factor: 3.590

Review 3.  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
Journal:  J Neural Transm (Vienna)       Date:  2019-05-22       Impact factor: 3.575

4.  Quantification of neural reflex and muscular intrinsic contributions to parkinsonian rigidity.

Authors:  RuiPing Xia; Anburaj Muthumani; Zhi-Hong Mao; Douglas W Powell
Journal:  Exp Brain Res       Date:  2016-08-17       Impact factor: 1.972

5.  Improved methods for electroacupuncture and electromyographic recordings in normal and parkinsonian rhesus monkeys.

Authors:  Feng Zhao; Xiaotong Fan; Richard Grondin; Ramsey Edwards; Eric Forman; Jennifer Moorehead; Greg Gerhardt; Xiaomin Wang; Zhiming Zhang
Journal:  J Neurosci Methods       Date:  2010-07-21       Impact factor: 2.390

6.  Parkinsonian rigidity shows variable properties depending on the elbow joint angle.

Authors:  Takuyuki Endo; Toshimitsu Hamasaki; Ryuhei Okuno; Masaru Yokoe; Harutoshi Fujimura; Kenzo Akazawa; Saburo Sakoda
Journal:  Parkinsons Dis       Date:  2013-01-27

7.  Neural and nonneural contributions to wrist rigidity in Parkinson's disease: an explorative study using the NeuroFlexor.

Authors:  H Zetterberg; G E Frykberg; J Gäverth; P G Lindberg
Journal:  Biomed Res Int       Date:  2015-01-22       Impact factor: 3.411

8.  Parkinson's disease rigidity: relation to brain connectivity and motor performance.

Authors:  Nazanin Baradaran; Sun Nee Tan; Aiping Liu; Ahmad Ashoori; Samantha J Palmer; Z Jane Wang; Meeko M K Oishi; Martin J McKeown
Journal:  Front Neurol       Date:  2013-06-05       Impact factor: 4.003

9.  What brain signals are suitable for feedback control of deep brain stimulation in Parkinson's disease?

Authors:  Simon Little; Peter Brown
Journal:  Ann N Y Acad Sci       Date:  2012-07-25       Impact factor: 5.691

10.  A torque-based method demonstrates increased rigidity in Parkinson's disease during low-frequency stimulation.

Authors:  Simon Little; Raed A Joundi; Huiling Tan; Alek Pogosyan; Beth Forrow; Carole Joint; Alexander L Green; Tipu Z Aziz; Peter Brown
Journal:  Exp Brain Res       Date:  2012-05-13       Impact factor: 1.972

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