Graphical Tasks to Measure Upper Limb Function in Patients with Parkinson's Disease: Validity and Response to Dopaminergic Medication

Esther J. Smits, Antti J. Tolonen, Luc Cluitmans, Mark van Gils, Rutger C. Zietsma, Robbert W.K. Borgemeester, Teus van Laar, Natasha M. Maurits

    Research output: Contribution to journalArticleScientificpeer-review

    21 Citations (Scopus)

    Abstract

    The most widely used method to assess motor functioning in Parkinson's disease (PD) patients is the unified Parkinson's disease rating scale-III (UPDRS-III). The UPDRS-III has limited ability to detect subtle changes in motor symptoms. Alternatively, graphical tasks can be used to provide objective measures of upper limb motor dysfunction. This study investigated the validity of such graphical tasks to assess upper limb function in PD patients and their ability to detect subtle changes in performance. Fourteen PD patients performed graphical tasks before and after taking dopaminergic medication. Graphical tasks included figure tracing, writing, and a modified Fitts' task. The Purdue pegboard test was performed to validate these graphical tasks. Movement time (MT), writing size, and the presence of tremor were assessed. MT on the graphical tasks correlated significantly with performance on the Purdue pegboard test (Spearman's ρ > 0.65; p < 0.05). MT decreased significantly after the intake of dopaminergic medication. Tremor power decreased after taking dopaminergic medication in most PD patients who suffered from tremor. Writing size did not correlate with performance on the Purdue pegboard test, nor did it change after taking medication. Our set of graphical tasks is valid to assess upper limb function in PD patients. MT proved to be the most useful measure for this purpose. The response on dopaminergic medication was optimally reflected by an improved MT on the graphical tasks in combination with a decreased tremor power, whereas writing size did not respond to dopaminergic treatment.
    Original languageEnglish
    Pages (from-to)283-289
    JournalIEEE Journal of Biomedical and Health Informatics
    Volume21
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2017
    MoE publication typeA1 Journal article-refereed

    Funding

    This work is a part of the DiPAR Project which was supported by the EC in the FP7-SME-201001 Program (Grant Agreement 262291).

    Keywords

    • Parkinson's disease
    • tremor
    • graphical tasks
    • upper limb function
    • bradykinesia
    • drawing
    • handwriting
    • micrographia
    • validity

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