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Related Concept Videos

Brain Waves01:23

Brain Waves

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Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics:
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Related Experiment Video

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EEG Mu Rhythm in Typical and Atypical Development
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Predisposition for delirium and EEG characteristics.

S J T van Montfort1, E van Dellen2, L L Wattel3

  • 1Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands.

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|March 22, 2020
PubMed
Summary

Individuals predisposed to delirium did not consistently show the electroencephalography (EEG) changes seen during delirium. Only functional impairment was linked to decreased alpha connectivity strength, suggesting a specific EEG marker for delirium risk.

Keywords:
DeliriumEEGFunctional connectivityFunctional impairmentGraph analysisRisk factors

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Area of Science:

  • Neuroscience
  • Gerontology
  • Medical Imaging

Background:

  • Delirium is characterized by specific electroencephalography (EEG) abnormalities, including increased delta activity and reduced network integration.
  • Understanding the development of delirium requires investigating EEG changes in individuals at risk but not currently experiencing delirium.

Purpose of the Study:

  • To determine if non-delirious elderly individuals with delirium risk factors exhibit similar EEG abnormalities (delta power, alpha connectivity, network integration) as those observed during delirium.
  • To explore the relationship between specific delirium risk factors and these EEG markers.

Main Methods:

  • Resting-state EEG was performed on 206 elderly subjects.
  • Predisposing delirium risk factors including age, alcohol misuse, cognitive impairment, depression, functional impairment, stroke history, and physical status were assessed.
  • Linear regression analyses examined the association between risk factors and EEG characteristics (delta power, alpha connectivity strength, network integration), controlling for confounders.

Main Results:

  • Functional impairment was significantly associated with decreased alpha connectivity strength (adjusted R² = 0.071, β = 0.201, p < 0.05).
  • No other studied risk factors demonstrated a significant relationship with EEG delta power, connectivity strength, or network integration.

Conclusions:

  • Functional impairment may be an indicator of reduced alpha connectivity strength, a potential EEG marker related to delirium risk.
  • Other common predisposing factors for delirium were not found to be associated with the specific EEG characteristics investigated in this study.