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The Discriminating Properties of an Optoelectronic Movement Analysis Method in Patients With Parkinsonism
Authors:Theresa Zackrisson  Filip Bergquist  Mats Eklund  Björn Holmberg  Thorleif Thorlin
Affiliation:1. Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation, University of Gothenburg, Swedentheresa.zackrisson@neuro.gu.se;3. Institute of Neuroscience and Physiology, Department of Pharmacology, University of Gothenburg, Sweden;4. Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden;5. R&6. D Motion Analysis, Qbtech AB, Gothenburg, Sweden;7. Institute of Neuroscience and Physiology, Department of Clinical Neuroscience and Rehabilitation, University of Gothenburg, Sweden;8. Department of Neurological Rehabilitation, Sahlgrenska University Hospital, Gothenburg, Sweden
Abstract:Several partly overlapping diseases have Parkinsonism as a symptom and tools that may differentiate between these disorders would be helpful. The authors evaluated the discriminating properties of the objective automated posturo-locomotor-manual (PLM) L-DOPA test in regard to health, and the movement disorders Parkinson's disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP). A PLM test–retest procedure was performed in healthy controls (n = 37) and results were compared with PLM L-DOPA tests performed by 132 patients with Parkinsonism in intermediate to advanced stages (56 PD, 53 MSA, 23 PSP). The movement time (MT) for the standardized movement and its different components was measured. The discriminating abilities of individual, or combinations of, test variables were determined by forward stepwise multiple logistic regression and evaluated with receiver-operating characteristic (ROC) analysis. Each PLM variable separated healthy persons from patients with Parkinsonism before administration of L-DOPA (area under the curve (AUC) = 0.94–0.99, p <.001 for any separate variable). A combination of (MToff – MTon)/MToff and MTon had the highest ability to separate patients with PD from patients with atypical Parkinsonism (area under the curve = 0.91, p <.001). The PLM test discriminates between healthy controls and patients with Parkinsonism, and between patients with Parkinson's disease and patients with atypical Parkinsonism.

[Supplementary material is available for this article. Go to the publisher's online edition of Journal of Motor Behavior for the following free supplemental resource: supplementary data.]
Keywords:movement disorder  neurodegenerative disorder  objective quantification  optoelectronic movement analysis  Parkinson's disease  PLM method  symptom assessment
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