Hugo Liepmann, Parkinson’s disease and upper limb apraxia

Cortex ◽  
2020 ◽  
Vol 131 ◽  
pp. 79-86 ◽  
Author(s):  
Kenneth M. Heilman
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Limb Apraxia

Anxiety and cognitive load affect upper limb motor control in Parkinson's disease during medication phases

2021 ◽  
Author(s):  
Zahra Nodehi ◽  
Hajar Mehdizadeh ◽  
Akram Azad ◽  
Maryam Mehdizadeh ◽  
Elham Reyhanian ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Control ◽  
Cognitive Load ◽  
Upper Limb

On the use of information theory for detecting upper limb motor dysfunction: An application to Parkinson’s disease

2011 ◽  
Vol 390 (23-24) ◽  
pp. 4451-4458 ◽  
Author(s):  
M. Elias de Oliveira ◽  
L.L. Menegaldo ◽  
P. Lucarelli ◽  
B.L.B. Andrade ◽  
P. Büchler
Keyword(s):  
Parkinson’S Disease ◽  
Information Theory ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Motor Dysfunction

Is the Cerebellum a Potential Target for Stimulation in Parkinson's Disease? Results of 1-Hz rTMS on Upper Limb Motor Tasks

2011 ◽  
Vol 10 (4) ◽  
pp. 804-811 ◽  
Author(s):  
Eduard Minks ◽  
Radek Mareček ◽  
Tomáš Pavlík ◽  
Petra Ovesná ◽  
Martin Bareš
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Motor Tasks ◽  
Potential Target

The time course of the return of upper limb bradykinesia after cessation of subthalamic stimulation in Parkinson's disease

2007 ◽  
Vol 13 (7) ◽  
pp. 438-442 ◽  
Author(s):  
Zoltan Keresztenyi ◽  
Peter Valkovič ◽  
Thomas Eggert ◽  
Ulrich Steude ◽  
Joachim Hermsdörfer ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Time Course ◽  
Subthalamic Stimulation

scholarly journals Influence of basal ganglia on upper limb locomotor synergies. Evidence from deep brain stimulation and L-DOPA treatment in Parkinson's disease

Brain ◽  
2008 ◽  
Vol 131 (12) ◽  
pp. 3410-3420 ◽  
Author(s):  
P. Crenna ◽  
I. Carpinella ◽  
L. Lopiano ◽  
A. Marzegan ◽  
M. Rabuffetti ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Basal Ganglia ◽  
Upper Limb ◽  
Brain Stimulation ◽  
Deep Brain

Comparative analysis of speech impairment and upper limb motor dysfunction in Parkinson’s disease

2016 ◽  
Vol 124 (4) ◽  
pp. 463-470 ◽  
Author(s):  
Jan Rusz ◽  
Tereza Tykalová ◽  
Radim Krupička ◽  
Kateřina Zárubová ◽  
Michal Novotný ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Comparative Analysis ◽  
Upper Limb ◽  
Motor Dysfunction ◽  
Speech Impairment

scholarly journals Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson’s disease: a feasibility study

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Pilar Fernández-González ◽  
María Carratalá-Tejada ◽  
Esther Monge-Pereira ◽  
Susana Collado-Vázquez ◽  
Patricia Sánchez-Herrera Baeza ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Feasibility Study ◽  
Upper Limb ◽  
Serious Games ◽  
Post Treatment ◽  
Control Group ◽  
Leap Motion ◽  
Affected Side ◽  
Experimental Group

Abstract Background Non-immersive video games are currently being used as technological rehabilitation tools for individuals with Parkinson’s disease (PD). The aim of this feasibility study was to evaluate the effectiveness of the Leap Motion Controller® (LMC) system used with serious games designed for the upper limb (UL), as well as the levels of satisfaction and compliance among patients in mild-to-moderate stages of the disease. Methods A non-probabilistic sampling of non-consecutive cases was performed. 23 PD patients, in stages II-IV of the Hoehn & Yahr scale, were randomized into two groups: an experimental group (n = 12) who received treatment based on serious games designed by the research team using the LMC system for the UL, and a control group (n = 11) who received a specific intervention for the UL. Grip muscle strength, coordination, speed of movements, fine and gross UL dexterity, as well as satisfaction and compliance, were assessed in both groups pre-treatment and post-treatment. Results Within the experimental group, significant improvements were observed in all post-treatment assessments, except for Box and Blocks test for the less affected side. Clinical improvements were observed for all assessments in the control group. Statistical intergroup analysis showed significant improvements in coordination, speed of movements and fine motor dexterity scores on the more affected side of patients in the experimental group. Conclusions The LMC system and the serious games designed may be a feasible rehabilitation tool for the improvement of coordination, speed of movements and fine UL dexterity in PD patients. Further studies are needed to confirm these preliminary findings.

Effect of termination of subthalamic stimulation on upper limb bradykinesia in Parkinson’s disease

2007 ◽  
Vol 118 (4) ◽  
pp. e13
Author(s):  
K. Bötzel ◽  
P. Valkovic ◽  
Z. Keresztenyi ◽  
T. Eggert ◽  
U. Steude ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Subthalamic Stimulation

scholarly journals Remote Evaluation of Parkinson's Disease Using a Conventional Webcam and Artificial Intelligence

2021 ◽  
Vol 12 ◽  
Author(s):  
Mariana H. G. Monje ◽  
Sergio Domínguez ◽  
Javier Vera-Olmos ◽  
Angelo Antonini ◽  
Tiago A. Mestre ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Upper Limb ◽  
Rating Scale ◽  
Hand Movement ◽  
Movement Speed ◽  
Clinical Scales ◽  
Video Frames ◽  
Disease Rating

Objective: This study aimed to prove the concept of a new optical video-based system to measure Parkinson's disease (PD) remotely using an accessible standard webcam.Methods: We consecutively enrolled a cohort of 42 patients with PD and healthy subjects (HSs). The participants were recorded performing MDS-UPDRS III bradykinesia upper limb tasks with a computer webcam. The video frames were processed using the artificial intelligence algorithms tracking the movements of the hands. The video extracted features were correlated with clinical rating using the Movement Disorder Society revision of the Unified Parkinson's Disease Rating Scale and inertial measurement units (IMUs). The developed classifiers were validated on an independent dataset.Results: We found significant differences in the motor performance of the patients with PD and HSs in all the bradykinesia upper limb motor tasks. The best performing classifiers were unilateral finger tapping and hand movement speed. The model correlated both with the IMUs for quantitative assessment of motor function and the clinical scales, hence demonstrating concurrent validity with the existing methods.Conclusions: We present here the proof-of-concept of a novel webcam-based technology to remotely detect the parkinsonian features using artificial intelligence. This method has preliminarily achieved a very high diagnostic accuracy and could be easily expanded to other disease manifestations to support PD management.

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