Skip Navigation
Skip to contents

JMD : Journal of Movement Disorders

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse Articles > Author index
Search
MuthuKumar M 1 Article
Quantitative Assessment of Hand Dysfunction in Patients with Early Parkinson’s Disease and Focal Hand Dystonia
Deepa Kandaswamy, MuthuKumar M, Mathew Alexander, Krishna Prabhu, Mahasampath Gowri S, Srinivasa Babu Krothapalli
J Mov Disord. 2018;11(1):35-44.   Published online January 11, 2018
DOI: https://doi.org/10.14802/jmd.17046
  • 7,454 View
  • 165 Download
  • 5 Citations
AbstractAbstract PDF
Objective
Motor impairments related to hand function are common symptoms in patients with movement disorders, such as Parkinson’s disease (PD) and focal hand dystonia (FHD). However, hand dysfunction has not been quantitatively assessed as a clinical tool for screening patient groups from healthy controls (HCs). The aim of our study was 1) to quantitatively assess hand dysfunction in patients with PD and FHD and its usefulness as a screening tool 2) to grade disease severity in PD and FHD based on hand dysfunction.
Methods
The current case-control study included HCs (n = 50) and patients with known history of PD (n = 25) or FHD (n = 16). Hand function was assessed by a precision grip task while participants lifted objects of 1.3 N and 1.7 N under dry skin conditions, followed by very wet skin conditions (VWSCs). Receiver operating characteristic and summative scoring analyses were performed.
Results
In PD, the combination of loading phase duration and lifting phase duration at quantitative cutoffs of 0.36 and 0.74 seconds identified 21/25 patients as diseased and 49/50 subjects as HCs with 1.7 N under VWSCs. In PD, 5/21 was graded as “mild” and 16/21 as “moderate cases.” In FHD, slip force at a cutoff of 1.2 N identified 13/16 patients as diseased and 41/50 subjects as HC with 1.7 N under VWSCs, but disease severity could not be graded.
Conclusion
Our results demonstrate the use of precision grip task as an important clinical tool in assessment of hand dysfunction in movement disorder patients. Use of quantitative cutoffs may improve diagnostic accuracy and serve as a valuable adjunct to existing clinical assessment methods.

Citations

Citations to this article as recorded by  
  • Supination/pronation movement quantification using stereoscopic vision based system towards Parkinson’s Disease assessment – A pilot study
    Pedro G. Vaz, Ana L. Reis, João Cardoso
    Biomedical Signal Processing and Control.2020; 60: 101976.     CrossRef
  • Wuqinxi Exercise Improves Hand Dexterity in Patients with Parkinson’s Disease
    Tian Wang, Guiping Xiao, Zhenlan Li, Kuncheng Jie, Mengyue Shen, Yan Jiang, Zhen Wang, Xiangrong Shi, Jie Zhuang, Jiao Liu
    Evidence-Based Complementary and Alternative Medicine.2020; 2020: 1.     CrossRef
  • Handling objects with very wet skin reduce variability during precision grip task
    Deepa Kandaswamy, Muthukumar Murthy, Mahasampath Gowri S, Mathew Alexander, Srinivasa Babu Krothapalli
    Neuroscience Letters.2019; 703: 177.     CrossRef
  • Parkinsonian patients do not utilize probabilistic advance information in a grip-lift task
    Leif Trampenau, Johann P. Kuhtz-Buschbeck, Thilo van Eimeren
    Parkinsonism & Related Disorders.2019; 65: 67.     CrossRef
  • Sensorimotor Control in Dystonia
    Desrochers, Brunfeldt, Sidiropoulos, Kagerer
    Brain Sciences.2019; 9(4): 79.     CrossRef

JMD : Journal of Movement Disorders