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EEG spectral analysis in delirium.

H Koponen1, J Partanen, A Pääkkönen

  • 1Department of Neurology, University Central Hospital, Kuopio, Finland.

Journal of Neurology, Neurosurgery, and Psychiatry
|August 1, 1989
PubMed
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Elderly patients with delirium show significant electroencephalogram (EEG) changes, including reduced alpha activity and increased theta/delta waves. These spectral EEG alterations correlate with cognitive decline severity and delirium duration.

Area of Science:

  • Neuroscience
  • Gerontology
  • Clinical Neurophysiology

Background:

  • Delirium is a common neuropsychiatric syndrome in the elderly.
  • Cognitive impairment is a hallmark of delirium.
  • Electroencephalogram (EEG) abnormalities are frequently observed in delirious patients.

Purpose of the Study:

  • To investigate spectral EEG characteristics in elderly patients with delirium.
  • To correlate EEG findings with cognitive status and clinical parameters.

Main Methods:

  • Spectral analysis of EEG data was performed on 51 elderly patients diagnosed with delirium (DSM-III criteria) and 19 healthy controls.
  • EEG parameters analyzed included alpha, theta, and delta activity, peak and mean frequencies, and ratio parameters.
  • Correlation analysis was conducted with the Mini Mental State (MMS) score, delirium duration, and hospitalization length.

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Main Results:

  • Delirious patients exhibited significant reductions in alpha percentage, increased theta and delta activity, and slowed peak and mean EEG frequencies compared to controls.
  • These spectral EEG changes were evident even in individual recordings.
  • Alpha percentage and ratio parameters significantly correlated with MMS scores.
  • Delta percentage and mean frequency correlated with delirium duration and hospitalization length.

Conclusions:

  • Spectral EEG analysis reveals distinct abnormalities in elderly patients with delirium.
  • These EEG changes are associated with the severity of cognitive deterioration.
  • EEG spectral parameters may serve as biomarkers for cognitive impairment in delirium.