O Martinez-Manzanera1, T F Lawerman2, H J Blok2, R J Lunsing3, R Brandsma2, D A Sival3, N M Maurits2. 1. Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, the Netherlands. Electronic address: octaviomtz@gmail.com. 2. Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, the Netherlands. 3. Department of Pediatric Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, the Netherlands.
Abstract
BACKGROUND: During childhood, many conditions may impact coordination. Examples are physiological age-related development and pathological conditions, such as early onset ataxia and developmental coordination disorder. These conditions are generally diagnosed by clinical specialists. However, in absence of a gold phenotypic standard, objective reproducibility among specialists appears limited. METHODS: We investigated whether quantitative analysis of an upper limb coordination task (the finger-to-nose test) could discriminate between physiological and pathological conditions impacting coordination. We used inertial measurement units to estimate movement trajectories of the participants while they executed the finger-to-nose test. We employed random forests to classify each participant in one category. FINDINGS: On average, 87.4% of controls, 74.4% of early onset ataxia and 24.8% of developmental coordination disorder patients were correctly classified. The relatively good classification of early onset ataxia patients and controls contrasts with the poor classification of developmental coordination disorder patients. INTERPRETATION: In absence of a gold phenotypic standard for developmental coordination disorder recognition, it remains elusive whether the finger-to-nose test in these patients represents a sufficiently accurate entity to reflect symptoms distinctive of this disorder. Based on the relatively good results in early onset ataxia patients and controls, we conclude that quantitative analysis of the finger-to-nose test can provide a reliable support tool during the assessment of phenotypic early onset ataxia.
BACKGROUND: During childhood, many conditions may impact coordination. Examples are physiological age-related development and pathological conditions, such as early onset ataxia and developmental coordination disorder. These conditions are generally diagnosed by clinical specialists. However, in absence of a gold phenotypic standard, objective reproducibility among specialists appears limited. METHODS: We investigated whether quantitative analysis of an upper limb coordination task (the finger-to-nose test) could discriminate between physiological and pathological conditions impacting coordination. We used inertial measurement units to estimate movement trajectories of the participants while they executed the finger-to-nose test. We employed random forests to classify each participant in one category. FINDINGS: On average, 87.4% of controls, 74.4% of early onset ataxia and 24.8% of developmental coordination disorderpatients were correctly classified. The relatively good classification of early onset ataxiapatients and controls contrasts with the poor classification of developmental coordination disorderpatients. INTERPRETATION: In absence of a gold phenotypic standard for developmental coordination disorder recognition, it remains elusive whether the finger-to-nose test in these patients represents a sufficiently accurate entity to reflect symptoms distinctive of this disorder. Based on the relatively good results in early onset ataxiapatients and controls, we conclude that quantitative analysis of the finger-to-nose test can provide a reliable support tool during the assessment of phenotypic early onset ataxia.
Authors: Ha Tran; Khoa D Nguyen; Pubudu N Pathirana; Malcolm K Horne; Laura Power; David J Szmulewicz Journal: J Neuroeng Rehabil Date: 2020-12-04 Impact factor: 4.262
Authors: Anoopum S Gupta; Anna C Luddy; Nergis C Khan; Sara Reiling; Jennifer Karlin Thornton Journal: Cerebellum Date: 2022-03-16 Impact factor: 3.847
Authors: Adonay S Nunes; Nataliia Kozhemiako; Christopher D Stephen; Jeremy D Schmahmann; Sheraz Khan; Anoopum S Gupta Journal: Front Neurol Date: 2022-02-28 Impact factor: 4.003
Authors: Tjitske F Lawerman; Rick Brandsma; Natalia M Maurits; Octavio Martinez-Manzanera; Corien C Verschuuren-Bemelmans; Roelineke J Lunsing; Oebo F Brouwer; Hubertus Ph Kremer; Deborah A Sival Journal: Dev Med Child Neurol Date: 2019-09-17 Impact factor: 5.449
Authors: Brandon Oubre; Jean-Francois Daneault; Kallie Whritenour; Nergis C Khan; Christopher D Stephen; Jeremy D Schmahmann; Sunghoon Ivan Lee; Anoopum S Gupta Journal: Cerebellum Date: 2021-03-02 Impact factor: 3.847