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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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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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Exploring Dynamic Alpha Band Connectivity in Parkinson's Disease: A Novel Approach to Postural Control Assessment

Federica Pescaglia1, Lorena Guerrini1,2, Carmine Gelormini1

  • 1Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland.

Brain Topography
|February 2, 2026
PubMed
Summary

Parkinson's disease patients show altered brain network states during balance tasks. This research used virtual reality and EEG to reveal impaired visuomotor integration and highlight brain dynamics as potential biomarkers for neural dysfunction.

Keywords:
Brain Network StatesElectroencephalographyParkinson’s DiseasePostural Control

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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Published on: July 24, 2019

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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neurology

Background:

  • Parkinson's Disease (PD) significantly impacts postural control and balance.
  • Limited research exists on brain activity during balance-challenging tasks in PD.
  • Innovative approaches are needed to understand neural underpinnings of PD-related balance deficits.

Purpose of the Study:

  • To investigate neural alterations in Parkinson's Disease patients during postural control tasks.
  • To assess brain network dynamics using virtual reality (VR) and electroencephalography (EEG).
  • To identify potential brain-based biomarkers for neural dysfunction in PD.

Main Methods:

  • Employed the BioVRSea paradigm integrating VR and EEG for 20 PD patients and 22 healthy controls (CTR).
  • Assessed postural control using visuomotor stimuli and collected EEG signals.
  • Extracted brain network states (BNSs) from functional connectivity data using k-means++ clustering.

Main Results:

  • Identified six distinct BNSs, with the dorsal attention network (DAN) being dominant.
  • PD patients exhibited significantly reduced coverage of BNS2 during PRE and MOV phases compared to CTR.
  • This suggests impaired visuomotor integration and highlights DAN's role in attentional control for PD patients.

Conclusions:

  • Brain dynamics, specifically altered BNSs, can serve as biomarkers for neural dysfunction in PD.
  • Findings reveal neural deficits in attention and sensorimotor integration related to PD.
  • VR-EEG integration offers a promising method for studying neurological disorders like PD.