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Detect AD Patients by Using EEG Coherence Analysis.

Ming-Chung Ho1, Tsung-Ching Chen1, Chin-Fei Huang2

  • 1Department of Physics, National Kaohsiung Normal University, Kaohsiung 824, Taiwan.

Journal of Medical Engineering
|March 24, 2016
PubMed
Summary

Mild Alzheimer's disease (AD) patients show reduced EEG coherence, particularly in the theta band, compared to healthy individuals. This finding highlights altered brain connectivity in early-stage AD.

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Area of Science:

  • Neuroscience
  • Medical Imaging

Background:

  • Alzheimer's disease (AD) is a progressive neurodegenerative disorder.
  • Early detection of mild AD is crucial for timely intervention.
  • Understanding changes in brain connectivity is key to diagnosing AD.

Purpose of the Study:

  • To differentiate mild Alzheimer's disease (AD) patients from individuals with normal aging.
  • To investigate differences in corticocortical connections between mild AD patients and healthy subjects.

Main Methods:

  • Electroencephalography (EEG) coherence analysis was employed.
  • Data were collected using an auditory oddball paradigm.
  • EEG coherence was measured to assess functional brain connectivity.

Main Results:

  • Mild AD patients exhibited significantly lower EEG coherence values compared to normal aging subjects.
  • This reduction in coherence was most pronounced in the theta frequency band.
  • The findings suggest impaired corticocortical communication in mild AD.

Conclusions:

  • EEG coherence analysis, especially in the theta band, can effectively discriminate mild AD patients from healthy individuals.
  • Altered brain connectivity is an early indicator of Alzheimer's disease.
  • Further research can explore the clinical implications of these findings for AD diagnosis and management.