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Original 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
  • 9,008 View
  • 171 Download
  • 8 Web of Science
  • 7 Crossref
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  
  • Short term effects of contralateral tendon vibration on motor unit discharge rate variability and force steadiness in people with Parkinson’s disease
    Changki Kim, Daryl J. Wile, Sarah N. Kraeutner, Kaylee A. Larocque, Jennifer M. Jakobi
    Frontiers in Aging Neuroscience.2024;[Epub]     CrossRef
  • COMPARISON OF TRUNK CONTROL, MANUAL DEXTERITY, AND REACTION TIME ACCORDING TO DIFFERENT STATUS OF BALANCE IN PEOPLE WITH PARKINSON DISEASE
    Hatice YAKUT, Zülal BEKAR, Tuba MADEN, Süleyman KUTLUHAN
    SDÜ Tıp Fakültesi Dergisi.2023; 30(3): 380.     CrossRef
  • 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
Review Article
Non-Invasive Brain Stimulation for Treatment of Focal Hand Dystonia: Update and Future Direction
Hyun Joo Cho, Mark Hallett
J Mov Disord. 2016;9(2):55-62.   Published online May 25, 2016
DOI: https://doi.org/10.14802/jmd.16014
  • 17,256 View
  • 236 Download
  • 19 Web of Science
  • 22 Crossref
AbstractAbstract PDF
Focal hand dystonia (FHD) is characterized by excessive and unwanted muscle activation in both the hand and arm resulting in impaired performance in particular tasks. Understanding the pathophysiology of FHD has progressed significantly for several decades and this has led to consideration of other potential therapies such as non-invasive brain stimulation (NIBS). A number of studies have been conducted to develop new therapy for FHD using transcranial magnetic stimulation and transcranial direct current stimulation. In this paper, we review previous studies and describe the potential therapeutic use of NIBS for FHD. We also discuss the future direction of NIBS to treat FHD.

Citations

Citations to this article as recorded by  
  • Transcranial magnetic stimulation: the road to clinical therapy for dystonia
    Patrick J. Mulcahey, Angel V. Peterchev, Nicole Calakos, Noreen Bukhari-Parlakturk
    Dystonia.2023;[Epub]     CrossRef
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    Kirsten E. Zeuner, Alexander Baumann, Karsten Witt
    Dystonia.2023;[Epub]     CrossRef
  • The Technical Ability and Performing Scale (TAPS): A newly developed patient-reported functional rating scale for Musician's focal dystonia
    Marina Ramella, Rosa Maria Converti, Giulia Giacobbi, Anna Castagna, Enrico Saibene, Francesca Borgnis, Francesca Baglio
    Parkinsonism & Related Disorders.2022; 99: 79.     CrossRef
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    Jordan Morrison-Ham, Gillian M. Clark, Elizabeth G. Ellis, Andris Cerins, Juho Joutsa, Peter G. Enticott, Daniel T. Corp
    Therapeutic Advances in Neurological Disorders.2022; 15: 175628642211381.     CrossRef
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    Genko Oyama, Nobutaka Hattori
    Journal of Neural Transmission.2021; 128(4): 559.     CrossRef
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    T. DOOMS
    Tijdschrift voor Geneeskunde.2021;[Epub]     CrossRef
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    Kristina Simonyan, Julie Barkmeier-Kraemer, Andrew Blitzer, Mark Hallett, John F. Houde, Teresa Jacobson Kimberley, Laurie J. Ozelius, Michael J. Pitman, Robert Mark Richardson, Nutan Sharma, Kristine Tanner, Gerald Berke, Tanya Eadie, Jeremy Greenlee, Mi
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    Navnika Gupta, Sanjay Pandey
    Neurological Sciences.2021; 42(9): 3561.     CrossRef
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    Wenyan Jiang, Yiwu Lei, Jing Wei, Lu Yang, Shubao Wei, Qiong Yin, Shuguang Luo, Wenbin Guo
    Neural Plasticity.2019; 2019: 1.     CrossRef
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    Karlo J Lizarraga, Duha Al-Shorafat, Susan Fox
    Neurodegenerative Disease Management.2019; 9(3): 135.     CrossRef
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    Antonino Naro, Luana Billeri, Simona Portaro, Placido Bramanti, Rocco Salvatore Calabrò
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    Micol Avenali, R. De Icco, M. Tinazzi, G. Defazio, L. Tronconi, G. Sandrini, C. Tassorelli
    Parkinsonism & Related Disorders.2018; 54: 17.     CrossRef
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    Yohei Okada, Chiharu Shibamoto, Yukari Osumi, Chihiro Asano, Riho Takeuchi, Sachio Nabeshima, Shu Morioka, Koji Shomoto
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  • Dystonia
    Bettina Balint, Niccolò E. Mencacci, Enza Maria Valente, Antonio Pisani, John Rothwell, Joseph Jankovic, Marie Vidailhet, Kailash P. Bhatia
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JMD : Journal of Movement Disorders