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Related Experiment Video

Updated: Jul 12, 2026

Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease

Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease

Published on: August 30, 2011

EEG coherence in Alzheimer's dementia.

G Adler¹, S Brassen, A Jajcevic

¹Clinical Neurophysiology Service, Central Institute of Mental Health, Mannheim, Germany. adler@zi-mannheim.de

Journal of Neural Transmission (Vienna, Austria : 1996)

|August 21, 2003

Summary

Electroencephalography (EEG) alpha coherence may help diagnose Alzheimer's dementia (AD). Reduced left temporal alpha coherence and increased global theta power in EEG can identify AD patients with high accuracy.

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Published on: November 14, 2017

Area of Science:

Neuroscience
Neurology
Biomedical Engineering

Background:

Alzheimer's dementia (AD) is characterized by axonal disruption and cholinergic deficits, leading to impaired cortical connectivity and reduced EEG alpha coherence.
Quantitative EEG analysis offers a potential non-invasive method for assessing brain function and diagnosing neurological conditions.

Purpose of the Study:

To evaluate the diagnostic utility of electroencephalography (EEG) coherence parameters for identifying Alzheimer's dementia (AD).
To determine if specific EEG patterns can differentiate AD patients from cognitively unimpaired controls.

Main Methods:

Quantitative EEG analysis was conducted on 31 AD patients and 17 healthy controls without psychopharmacological treatment.
Statistical analyses, including stepwise logistic regression, were used to assess the diagnostic significance of EEG parameters.

Main Results:

AD patients exhibited increased global theta power and decreased left temporal alpha coherence and interhemispheric theta coherence compared to controls.
Left temporal alpha coherence and global theta power achieved 87% sensitivity and 77% specificity in identifying AD patients.

Conclusions:

Quantitative EEG analysis, particularly left temporal alpha coherence, shows promise in enhancing the diagnostic capabilities for Alzheimer's dementia.
EEG coherence parameters may serve as valuable biomarkers for the early and accurate diagnosis of AD.