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Related Experiment Videos

Topographic EEG changes with normal aging and SDAT.

J Breslau1, A Starr, N Sicotte

  • 1Department of Psychiatry, University of California, Irvine 92717.

Electroencephalography and Clinical Neurophysiology
|April 1, 1989
PubMed
Summary
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This study compared electroencephalography (EEG) patterns in Alzheimer's patients and healthy controls. Elderly individuals showed distinct brainwave topographies compared to younger adults, with Alzheimer's patients exhibiting unique delta wave patterns.

Area of Science:

  • Neuroscience
  • Gerontology
  • Medical Imaging

Background:

  • Senile dementia of the Alzheimer's type (SDAT) affects cognitive function in the elderly.
  • Understanding electroencephalography (EEG) changes can aid in diagnosing and understanding SDAT.
  • Regional brain activity differences may distinguish SDAT from normal aging.

Purpose of the Study:

  • To compare EEG topography in patients with SDAT, aged normal controls, and young normal controls.
  • To identify regional differences in brain electrical activity.
  • To assess how aging and SDAT impact brainwave patterns across different frequency bands.

Main Methods:

  • Utilized electroencephalography (EEG) with 32 leads to record brain activity.
  • Employed Fast Fourier Transform (FFT) to determine the square root of absolute power for delta, theta, alpha, and beta frequencies.

Related Experiment Videos

  • Applied Z-transformation to analyze topographic differences in brainwave activity between groups.

    • Main Results:

    • Normal elderly controls showed reduced power in all 4 frequency bands (delta, theta, alpha, beta) compared to young controls.
    • Significant topographic differences were observed in older normals, with greater mid-parietal and left mid-temporal delta and theta.
    • Elderly controls had less occipital alpha and more mid-parietal alpha; beta activity also showed significant topographic variations.
    • SDAT patients exhibited marked delta asymmetry in temporal regions, a pattern not present in elderly normals.

    Conclusions:

    • Aging is associated with significant changes in EEG topography across multiple frequency bands.
    • EEG topography can differentiate between normal aging and senile dementia of the Alzheimer's type (SDAT).
    • Temporal delta asymmetry is a potential neurophysiological marker distinguishing SDAT from normal aging.