EEG coherence in Alzheimer's dementia

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.