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Related Concept Videos

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is to...
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Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of its...
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Parkinson disease (PD) is a progressive neurodegenerative disorder primarily affecting movement, with additional non-motor features. Its pathophysiology involves complex interactions among genetic susceptibility, environmental exposures, and cellular dysfunction, including dopaminergic neuron loss, protein aggregation, and mitochondrial impairment.Selective NeurodegenerationA key feature is the degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to reduced...
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Parkinson’s disease is a chronic, progressive neurodegenerative disorder that primarily affects movement. It is characterized by motor symptoms such as resting tremors, muscle rigidity, bradykinesia (slowness of movement), and postural instability. Patients may notice hand tremors at rest, stiffness during movement, or a shuffling gait. In addition to motor features, non-motor symptoms include sleep disturbances, mood and behavioral changes, constipation, and cognitive impairment, all of which...

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Related Experiment Video

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Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
06:44

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Published on: May 20, 2020

Force coordination during bimanual task performance in Parkinson's disease.

Stacey L Gorniak1, Andre G Machado, Jay L Alberts

  • 1Department of Health and Human Performance, University of Houston, Houston, TX 77204-6015, USA. sgorniak@uh.edu

Experimental Brain Research
|July 2, 2013
PubMed
Summary

Parkinson's disease patients show impaired force coordination during bimanual tasks. This study reveals reduced between-hand load force coordination and altered grip force control, impacting daily motor function.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Human Movement Science

Background:

  • Parkinson's disease (PD) is a neurodegenerative disorder affecting motor function.
  • Impaired anticipatory force control is a known deficit in PD.
  • Bimanual tasks require complex coordination of grip and load forces.

Purpose of the Study:

  • To investigate within- and between-hand force coordination in PD patients during realistic bimanual actions.
  • To compare force coordination in medically managed PD patients with healthy controls.
  • To identify specific deficits in grip and load force control in PD.

Main Methods:

  • Quantitative analysis of grip and load force during bimanual tasks.
  • Inclusion of medically managed Parkinson's disease patients and healthy controls.
  • Assessment of within- and between-hand force coordination indices.

Main Results:

  • PD patients exhibited increased grip force and bradykinesia compared to controls.
  • Reduced between-hand load force coordination was observed in PD patients.
  • PD patients showed altered within-hand force coordination depending on the hand action.

Conclusions:

  • PD patients display deficits in both grip force production and load force control.
  • Impaired between-hand load force coordination affects bimanual task performance in PD.
  • Quantitative motor function analysis can aid in evaluating PD interventions.