Evžen Růžička1, Radim Krupička2, Kateřina Zárubová3, Jan Rusz4, Robert Jech5, Zoltán Szabó6. 1. Dept. of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Kateřinská 30, CZ-120 00, Prague, Czech Republic. Electronic address: eruzi@lf1.cuni.cz. 2. Dept. of Biomedical Informatics, Czech Technical University in Prague, Faculty of Biomedical Engineering, Sítná sq. 3105, CZ-272 01, Kladno, Czech Republic. Electronic address: radim.krupicka@gmail.com. 3. Dept. of Neurology, Charles University in Prague, 2nd Faculty of Medicine and Motol University Hospital, V Úvalu 84, CZ-150 06, Prague, Czech Republic. Electronic address: katzar@centrum.cz. 4. Dept. of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Kateřinská 30, CZ-120 00, Prague, Czech Republic. Electronic address: rusz.mz@gmail.com. 5. Dept. of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital, Kateřinská 30, CZ-120 00, Prague, Czech Republic. Electronic address: jech@cesnet.cz. 6. Dept. of Biomedical Informatics, Czech Technical University in Prague, Faculty of Biomedical Engineering, Sítná sq. 3105, CZ-272 01, Kladno, Czech Republic. Electronic address: szabozol@fbmi.cvut.cz.
Abstract
INTRODUCTION: Timed performance tests were introduced to overcome the disadvantages of subjective evaluation of bradykinesia in Parkinson's disease (PD). We aimed to verify their discriminative properties and compare them with the motion capture analysis of finger tapping. METHODS: We included 22 PD patients (10 M, 12 F), mean age 64 (range 48-82) yrs, Hoehn & Yahr stage 2 (1-2.5) and 22 (10 M, 12 F) normal controls, mean age 66 (41-82) yrs. The key tapping subtest of the Halstead-Reitan battery, the Purdue Pegboard test, and the Bradykinesia-Akinesia Incoordination (BRAIN) test were performed according to the test manuals. The finger tapping subtest of the UPDRS-III, item 23 was recorded using a contactless 3D motion capture system Optitrack-V120. Average frequency (AvgFrq), maximum opening velocity (MaxOpV) and amplitude decrement (AmpDec) were computed and simultaneous video recordings of finger tapping were rated by two experts. RESULTS: The AmpDec and MaxOpV motion capture measures best differentiated between PD patients and controls (AUC = 0.87 and 0.81). Of the instrumental tests, only the Purdue Pegboard attained significance in differentiating PD patients from controls (AUC = 0.80). In PD patients, MaxOpV correlated with the finger tapping ratings and BRAIN test, and AvgFrq correlated with the BRAIN and Halstead-Reitan test scores. Moreover, correlations were found between the Purdue Pegboard and finger tapping ratings. CONCLUSIONS: Contactless 3D motion capture of finger tapping allowed an independent analysis of individual components of bradykinesia, demonstrating the amplitude decrement and maximum opening velocity as the most powerful discriminators between PD patients and controls.
INTRODUCTION: Timed performance tests were introduced to overcome the disadvantages of subjective evaluation of bradykinesia in Parkinson's disease (PD). We aimed to verify their discriminative properties and compare them with the motion capture analysis of finger tapping. METHODS: We included 22 PDpatients (10 M, 12 F), mean age 64 (range 48-82) yrs, Hoehn & Yahr stage 2 (1-2.5) and 22 (10 M, 12 F) normal controls, mean age 66 (41-82) yrs. The key tapping subtest of the Halstead-Reitan battery, the Purdue Pegboard test, and the Bradykinesia-Akinesia Incoordination (BRAIN) test were performed according to the test manuals. The finger tapping subtest of the UPDRS-III, item 23 was recorded using a contactless 3D motion capture system Optitrack-V120. Average frequency (AvgFrq), maximum opening velocity (MaxOpV) and amplitude decrement (AmpDec) were computed and simultaneous video recordings of finger tapping were rated by two experts. RESULTS: The AmpDec and MaxOpV motion capture measures best differentiated between PDpatients and controls (AUC = 0.87 and 0.81). Of the instrumental tests, only the Purdue Pegboard attained significance in differentiating PDpatients from controls (AUC = 0.80). In PDpatients, MaxOpV correlated with the finger tapping ratings and BRAIN test, and AvgFrq correlated with the BRAIN and Halstead-Reitan test scores. Moreover, correlations were found between the Purdue Pegboard and finger tapping ratings. CONCLUSIONS: Contactless 3D motion capture of finger tapping allowed an independent analysis of individual components of bradykinesia, demonstrating the amplitude decrement and maximum opening velocity as the most powerful discriminators between PDpatients and controls.
Authors: Beate Pesch; Swaantje Casjens; Dirk Woitalla; Shalmali Dharmadhikari; David A Edmondson; Maria Angela Samis Zella; Martin Lehnert; Anne Lotz; Lennard Herrmann; Siegfried Muhlack; Peter Kraus; Chien-Lin Yeh; Benjamin Glaubitz; Tobias Schmidt-Wilcke; Ralf Gold; Christoph van Thriel; Thomas Brüning; Lars Tönges; Ulrike Dydak Journal: Cells Date: 2019-01-29 Impact factor: 6.600