Digitized spiral analysis may be a potential biomarker for brachial dystonia. (December 2018)

• Record Type: Journal Article
• Authors: Ratliff, Jeffrey; Ortega, Roberto A.; Ooi, Hwai Yin; Mirallave, Ana; Glickman, Amanda; Yu, Qiping; Raymond, Deborah; Bressman, Susan; Pullman, Seth; Saunders-Pullman, Rachel
• Is Part Of: Parkinsonism & related disorders. Volume 57(2018)
• Page Start: 16
• Page End: 21
• Publication Date: 2018-12
• Subjects: Dystonia -- Spiral analysis -- Motor physiology -- DYT1 (Tor1A) -- DYT6 (THAP1); Parkinson's disease -- Periodicals; Movement disorders -- Periodicals; Movement Disorders -- Periodicals; Nerve Degeneration -- Periodicals; Nervous System Diseases -- Periodicals; Parkinson Disease -- Periodicals; Tremor -- Periodicals; Parkinson, Maladie de -- Périodiques; Parkinson's disease; 616.833
• DOI: 10.1016/j.parkreldis.2018.07.004
• Languages: English
• ISSNs: 1353-8020

Abstract

Abstract: Introduction: Objective measures for detection and quantification of dystonic movements may guide both diagnosis and clinical monitoring. Digitized spiral analysis is a non-invasive method used to assess upper limb motor control in movement disorders and may have utility in dystonia. We aimed to determine if digitized spiral analysis can distinguish dystonia subjects from controls, and evaluated correlation with a validated clinical rating scale. Methods: Kinematic, dynamic, and spatial attributes of Archimedean spirals drawn with an inking pen on a digitizing tablet were compared for participants with brachial dystonia and either Tor1A (DYT1) (n = 15) or THAP1 (DYT6) mutations (n = 12) and age and gender matched controls (n = 27) using Receiver Operator Characteristics (ROC) analysis. Spiral indices including an overall degree of severity (DoS) were also calculated and correlated with clinical severity ratings as measured by the Burke-Fahn-Marsden scale. Results: Dystonia spirals had significantly higher severity scores as well as higher measures of spiral irregularity compared to controls. ROC analysis demonstrated that the DoS score had good discriminative ability to distinguish dystonia spirals from controls, with an Area Under the Curve (AUC) of 0.87. Measures of spiral irregularity correlated with validated clinical rates of dystonia severity in the analyzed arm, with one particular index, Residue of Theta vs R, showing the highest correlation (r = 0.55, p = 0.005). Conclusion: Digitized spiral analysis may be a promising non-invasive method to objectively quantify brachial dystonia. It may also be a useful way to monitor subtle changes in dystonia severity over time not captured with current clinical rating scales. Highlights: Ratliff, J et al. Digitized spiral analysis may be a potential biomarker for brachial dystonia. Digitized spiral analysis may have clinical utility in evaluating brachial dystonia. Spiral analysis discriminates dystonia from controls with good reliability. Measures of spiral irregularity correlate with dystonia severity.