Alzheimer's disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.

ABSTRACT:

Objectives

The future emergence of disease-modifying treatments for dementia highlights the urgent need to identify reliable and easily accessible tools for diagnosing Alzheimer's disease (AD). Electroencephalography (EEG) is a non-invasive and cost-effective technique commonly used in the study of neurodegenerative disorders. However, the specific alterations in EEG biomarkers associated with AD remain unclear when using a limited number of electrodes.

Methods

We studied pathological characteristics of AD using low-density EEG data collected from 26 AD and 29 healthy controls (HC) during both eye closed (EC) and eye opened (EO) resting conditions. The analysis including power spectrum, phase lock value (PLV), and weighted lag phase index (wPLI) and power-to-power frequency

SUBMITTER: Wang J 

PROVIDER: S-EPMC11782140 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature