@article{MTMT:33230082,
	title = {Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson's Disease},
	url = {https://m2.mtmt.hu/api/publication/33230082},
	author = {Ponsiglione, Alfonso Maria and Ricciardi, Carlo and Amato, Francesco and Cesarelli, Mario and Cesarelli, Giuseppe and D'Addio, Giovanni},
	doi = {10.3390/s22051708},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {22},
	unique-id = {33230082},
	abstract = {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.},
	keywords = {REACHING MOVEMENTS; fitness; MOVEMENTS; Motion analysis; Chemistry, Analytical; Biomedical signal processing; Engineering, Electrical & Electronic; Kinematic features},
	year = {2022},
	eissn = {1424-8220},
	orcid-numbers = {Ponsiglione, Alfonso Maria/0000-0003-1346-515X; Cesarelli, Giuseppe/0000-0001-8303-5900}
}

@article{MTMT:27102882,
	title = {Behavioral and neurophysiological mechanisms underlying motor skill learning in patients with post-stroke hemiparesis},
	url = {https://m2.mtmt.hu/api/publication/27102882},
	author = {Kantak, Shailesh and McGrath, Robert and Zahedi, Nazaneen and Luchmee, Dustin},
	doi = {10.1016/j.clinph.2017.10.010},
	journal-iso = {CLIN NEUROPHYSIOL},
	journal = {CLINICAL NEUROPHYSIOLOGY},
	volume = {129},
	unique-id = {27102882},
	issn = {1388-2457},
	year = {2018},
	eissn = {1872-8952},
	pages = {1-12}
}

@article{MTMT:26770698,
	title = {Complex Skill Training Transfers to Improved Performance and Control of Simpler Tasks After Stroke},
	url = {https://m2.mtmt.hu/api/publication/26770698},
	author = {Kantak, Shailesh S and Zahedi, Nazaneen and McGrath, Robert},
	doi = {10.1093/ptj/pzx042},
	journal-iso = {PHYS THER},
	journal = {PHYSICAL THERAPY},
	volume = {97},
	unique-id = {26770698},
	issn = {0031-9023},
	year = {2017},
	eissn = {1538-6724},
	pages = {718-728}
}

@article{MTMT:3188496,
	title = {Inter-joint coordination deficits revealed in the decomposition of endpoint jerk during goal-directed arm movement after stroke.},
	url = {https://m2.mtmt.hu/api/publication/3188496},
	author = {Laczkó, József and Scheidt, RA and Simo, LS and Piovesan, D},
	doi = {10.1109/TNSRE.2017.2652393},
	journal-iso = {IEEE T NEUR SYS REH},
	journal = {IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING},
	volume = {25},
	unique-id = {3188496},
	issn = {1534-4320},
	abstract = {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.},
	year = {2017},
	eissn = {1558-0210},
	pages = {798-810}
}

@article{MTMT:25513774,
	title = {Reduced asymmetry in motor skill learning in left-handed compared to right-handed individuals},
	url = {https://m2.mtmt.hu/api/publication/25513774},
	author = {McGrath, RL and Kantak, SS},
	doi = {10.1016/j.humov.2015.11.012},
	journal-iso = {HUM MOVEMENT SCI},
	journal = {HUMAN MOVEMENT SCIENCE},
	volume = {45},
	unique-id = {25513774},
	issn = {0167-9457},
	year = {2016},
	eissn = {1872-7646},
	pages = {130-141}
}