Literature DB >> 19353440

Spiral drawing time as a measure of bradykinesia.

Krzysztof Banaszkiewicz1, Monika Rudzińska, Sylwia Bukowczan, Andrzej Izworski, Andrzej Szczudlik.   

Abstract

BACKGROUND AND
PURPOSE: Bradykinesia, which is commonly defined as slowness of movements, is one of the cardinal signs of Parkinson's disease (PD) and parkinsonian syndromes. Simple clinical rating scales are used commonly to measure bradykinesia in routine clinical practice although this kind of assessment is biased. The aim of the study was to evaluate the time of spiral drawing as a measure of bradykinesia.
MATERIAL AND METHODS: Fifty-four patients with PD and 39 healthy age- and sex-matched volunteers were examined. The severity of parkinsonism was assessed using UPDRS and bradykinesia was assessed using instrumental methods: the BRAIN test, Nine-Hole Peg Board (NHPB) test and Quantitative Tremor Analysis on the Graphic Digitizing Tablet (QTAGDT). QTAGDT registers patients' hand movements during the spiral drawing task and generates several data characterizing tremor and the spiral drawing time as an additional result.
RESULTS: The spiral drawing time was significantly longer in PD patients when compared to normal controls (p <0.001). The bradykinesia assessment using the spiral drawing time showed a significant correlation with the clinical rating score of the UPDRS (R = 0.64, p = 0.001) and with the results of other instrumental methods: the BRAIN Test and NHPB test (R = -0.52, p = 0.0007, R = 0.55, p = 0.03, respectively). Hand tremor seemed to have no impact on bradykinesia assessment, and the new method was found to be highly test-retest reliable (R = 0.95, p < 0.0001).
CONCLUSION: The spiral drawing time is a simple, quick and objective assessment of upper limb bradykinesia.

Entities:  

Mesh:

Year:  2009        PMID: 19353440

Source DB:  PubMed          Journal:  Neurol Neurochir Pol        ISSN: 0028-3843            Impact factor:   1.621


  6 in total

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2.  Distinguishing Different Stages of Parkinson's Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral.

Authors:  Poonam Zham; Dinesh K Kumar; Peter Dabnichki; Sridhar Poosapadi Arjunan; Sanjay Raghav
Journal:  Front Neurol       Date:  2017-09-06       Impact factor: 4.003

3.  Computer mouse use captures ataxia and parkinsonism, enabling accurate measurement and detection.

Authors:  Krzysztof Z Gajos; Katharina Reinecke; Mary Donovan; Christopher D Stephen; Albert Y Hung; Jeremy D Schmahmann; Anoopum S Gupta
Journal:  Mov Disord       Date:  2019-11-07       Impact factor: 10.338

4.  Assessment of Smartphone-Based Spiral Tracing in Multiple Sclerosis Reveals Intra-Individual Reproducibility as a Major Determinant of the Clinical Utility of the Digital Test.

Authors:  Komi S Messan; Linh Pham; Thomas Harris; Yujin Kim; Vanessa Morgan; Peter Kosa; Bibiana Bielekova
Journal:  Front Med Technol       Date:  2022-02-01

Review 5.  Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms.

Authors:  Anirudha S Chandrabhatla; I Jonathan Pomeraniec; Alexander Ksendzovsky
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6.  Wavelet analysis increases sensitivity and specificity of spirography for ambulatory tremor discrimination.

Authors:  Veronika Kragelj; Dejan Georgiev; Zvezdan Pirtošek; Samo Ribarič
Journal:  Biomed Res Int       Date:  2014-08-06       Impact factor: 3.411

  6 in total

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