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Quantitative Measurement of Rigidity in Parkinson´s Disease: A Systematic Review

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2020 Feb 12
PMID 32041374
Citations 21
Authors
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Abstract

Rigidity is one of the cardinal symptoms of Parkinson´s disease (PD). Present in up 89% of cases, it is typically assessed with clinical scales. However, these instruments show limitations due to their subjectivity and poor intra- and inter-rater reliability. To compile all of the objective quantitative methods used to assess rigidity in PD and to study their validity and reliability, a systematic review was conducted using the Web of Science, PubMed, and Scopus databases. Studies from January 1975 to June 2019 were included, all of which were written in English. The Strengthening the Reporting of observational studies in Epidemiology Statement (STROBE) checklist for observational studies was used to assess the methodological rigor of the included studies. Thirty-six studies were included. Rigidity was quantitatively assessed in three ways, using servomotors, inertial sensors, and biomechanical and neurophysiological study of muscles. All methods showed good validity and reliability, good correlation with clinical scales, and were useful for detecting rigidity and studying its evolution. People with PD exhibit higher values in terms of objective muscle stiffness than healthy controls. Rigidity depends on the angular velocity and articular amplitude of the mobilization applied. There are objective, valid, and reliable methods that can be used to quantitatively assess rigidity in people with PD.

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References
1.
Levin J, Krafczyk S, Valkovic P, Eggert T, Claassen J, Botzel K . Objective measurement of muscle rigidity in Parkinsonian patients treated with subthalamic stimulation. Mov Disord. 2008; 24(1):57-63. DOI: 10.1002/mds.22291. View

2.
Cantello R, Gianelli M, Civardi C, Mutani R . Parkinson's disease rigidity: EMG in a small hand muscle at "rest". Electroencephalogr Clin Neurophysiol. 1995; 97(5):215-22. DOI: 10.1016/0013-4694(95)93574-q. View

3.
Hayashi R, Hashimoto T, Tada T, Ikeda S . Relation between changes in long-latency stretch reflexes and muscle stiffness in Parkinson's disease--comparison before and after unilateral pallidotomy. Clin Neurophysiol. 2001; 112(10):1814-21. DOI: 10.1016/s1388-2457(01)00642-3. View

4.
Powell D, Joseph Threlkeld A, Fang X, Muthumani A, Xia R . Amplitude- and velocity-dependency of rigidity measured at the wrist in Parkinson's disease. Clin Neurophysiol. 2011; 123(4):764-73. PMC: 3260389. DOI: 10.1016/j.clinph.2011.08.004. View

5.
Battista L, Romaniello A . A novel device for continuous monitoring of tremor and other motor symptoms. Neurol Sci. 2018; 39(8):1333-1343. DOI: 10.1007/s10072-018-3414-2. View