Unknown

Dataset Information

Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment.


ABSTRACT: In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and Alzheimer's disease (AD). Neurophysiological biomarkers of AD derived from EEG and FDG-PET, once characterized and validated, would expand the set of existing diagnostic molecular biomarkers of AD pathology with associated biomarkers of disease progression and neural dysfunction. Since symptoms of AD often begin to appear later in life, successful identification of EEG-based biomarkers must account for age-related neurophysiological changes that occur even in healthy individuals. To this end, we collected EEG data from individuals with AD (n = 26), MCI (n = 53), and cognitively normal healthy controls strati

SUBMITTER: Meghdadi AH 

PROVIDER: S-EPMC7864432 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature