TY - JOUR AU - Ponsiglione, Alfonso Maria AU - Ricciardi, Carlo AU - Amato, Francesco AU - Cesarelli, Mario AU - Cesarelli, Giuseppe AU - D'Addio, Giovanni TI - Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease JF - SENSORS J2 - SENSORS-BASEL VL - 22 PY - 2022 IS - 5 PG - 16 SN - 1424-8220 DO - 10.3390/s22051708 UR - https://m2.mtmt.hu/api/publication/33230082 ID - 33230082 N1 - Funding Agency and Grant Number: Call HUB Ricerca e Innovazione; Regione Lombardia; [D.G.R. N. 727]; [18854] Funding text: This study was part of the project Re-HUB-ility: Rehabilitative Personalized Home System and Virtual Coaching for Chronic Treatment in elderly supported by Call HUB Ricerca e Innovazione, Regione Lombardia and by Athics s.r.l. (Grant Number: D.G.R. N. 727 of 5/11/2018; decreto 18854 del 14/12/2018). AB - The impact of neurodegenerative disorders is twofold; they affect both quality of life and healthcare expenditure. In the case of Parkinson's disease, several strategies have been attempted to support the pharmacological treatment with rehabilitation protocols aimed at restoring motor function. In this scenario, the study of upper limb control mechanisms is particularly relevant due to the complexity of the joints involved in the movement of the arm. For these reasons, it is difficult to define proper indicators of the rehabilitation outcome. In this work, we propose a methodology to analyze and extract an ensemble of kinematic parameters from signals acquired during a complex upper limb reaching task. The methodology is tested in both healthy subjects and Parkinson's disease patients (N = 12), and a statistical analysis is carried out to establish the value of the extracted kinematic features in distinguishing between the two groups under study. The parameters with the greatest number of significances across the submovements are duration, mean velocity, maximum velocity, maximum acceleration, and smoothness. Results allowed the identification of a subset of significant kinematic parameters that could serve as a proof-of-concept for a future definition of potential indicators of the rehabilitation outcome in Parkinson's disease. LA - English DB - MTMT ER - TY - JOUR AU - Kantak, Shailesh AU - McGrath, Robert AU - Zahedi, Nazaneen AU - Luchmee, Dustin TI - Behavioral and neurophysiological mechanisms underlying motor skill learning in patients with post-stroke hemiparesis JF - CLINICAL NEUROPHYSIOLOGY J2 - CLIN NEUROPHYSIOL VL - 129 PY - 2018 IS - 1 SP - 1 EP - 12 PG - 12 SN - 1388-2457 DO - 10.1016/j.clinph.2017.10.010 UR - https://m2.mtmt.hu/api/publication/27102882 ID - 27102882 LA - English DB - MTMT ER - TY - JOUR AU - Kantak, Shailesh S AU - Zahedi, Nazaneen AU - McGrath, Robert TI - Complex Skill Training Transfers to Improved Performance and Control of Simpler Tasks After Stroke JF - PHYSICAL THERAPY J2 - PHYS THER VL - 97 PY - 2017 IS - 7 SP - 718 EP - 728 PG - 11 SN - 0031-9023 DO - 10.1093/ptj/pzx042 UR - https://m2.mtmt.hu/api/publication/26770698 ID - 26770698 N1 - Funding Agency and Grant Number: Albert Einstein Society, Albert Einstein Healthcare Network, Philadelphia, Pennsylvania Funding text: This study was funded by a research grant from the Albert Einstein Society, Albert Einstein Healthcare Network, Philadelphia, Pennsylvania, awarded to Dr Kantak. LA - English DB - MTMT ER - TY - JOUR AU - Laczkó, József AU - Scheidt, RA AU - Simo, LS AU - Piovesan, D TI - Inter-joint coordination deficits revealed in the decomposition of endpoint jerk during goal-directed arm movement after stroke. JF - IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING J2 - IEEE T NEUR SYS REH VL - 25 PY - 2017 IS - 7 SP - 798 EP - 810 PG - 13 SN - 1534-4320 DO - 10.1109/TNSRE.2017.2652393 UR - https://m2.mtmt.hu/api/publication/3188496 ID - 3188496 AB - It is well-documented that neurological deficits after stroke can disrupt motor control processes that affect the smoothness of reaching movements. The smoothness of hand trajectories during multi-joint reaching depends on shoulder and elbow joint angular velocities and their successive derivatives as well as on the instantaneous arm configuration and its rate of change. Right-handed survivors of unilateral hemiparetic stroke and neurologically-intact control participants held the handle of a two-joint robot and made horizontal planar reaching movements. We decomposed endpoint jerk into components related to shoulder and elbow joint angular velocity, acceleration, and jerk. We observed an abnormal decomposition pattern in the most severely impaired stroke survivors consistent with deficits of inter-joint coordination. We then used numerical simulations of reaching movements to test whether the specific pattern of inter-joint coordination deficits observed experimentally could be explained by either a general increase in motor noise related to weakness or by an impaired ability to compensate for multi-joint interaction torque. Simulation results suggest that observed deficits in movement smoothness after stroke more likely reflect an impaired ability to compensate for multi-joint interaction torques rather than the mere presence of elevated motor noise. LA - English DB - MTMT ER - TY - JOUR AU - McGrath, RL AU - Kantak, SS TI - Reduced asymmetry in motor skill learning in left-handed compared to right-handed individuals JF - HUMAN MOVEMENT SCIENCE J2 - HUM MOVEMENT SCI VL - 45 PY - 2016 SP - 130 EP - 141 PG - 12 SN - 0167-9457 DO - 10.1016/j.humov.2015.11.012 UR - https://m2.mtmt.hu/api/publication/25513774 ID - 25513774 N1 - Funding Agency and Grant Number: Albert Einstein Society, Albert Einstein Healthcare Network, Philadelphia, PA Funding text: The present research was supported by a Grant from the Albert Einstein Society, Albert Einstein Healthcare Network, Philadelphia, PA to SK. There were no potential conflicts of interest. LA - English DB - MTMT ER -