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Related Concept Videos

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

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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...
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Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

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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...
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Related Experiment Video

Updated: Sep 19, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Reassessing Machine Learning Conclusions for Parkinson's Fall Prediction

Brijesh Sathian1, Javed Iqbal2, Hanadi Al Hamad1

  • 1Department of Geriatrics, Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar.

European Journal of Neurology
|June 16, 2025
PubMed
Summary

No abstract available in PubMed .

Keywords:
Machine LearningParkinson's diseaseRiskfall

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