Resting-State EEG captures functional network correlates of plasma p-Tau-217 in Alzheimer's disease.

ABSTRACT:

Background

Scalable biomarkers are needed for early Alzheimer's disease (AD) detection. Plasma p-tau217 reflects AD pathology, while resting-state EEG captures functional brain alterations. Their relationship remains unclear.

Methods

We enrolled 128 patients with subjective cognitive decline (SCD), mild cognitive impairment due to AD (AD-MCI), or AD dementia (AD-DEM), who underwent 32-channel EEG and plasma biomarker assessment. EEG features included spectral, aperiodic, phase-amplitude coupling, and complexity metrics. Machine learning was used to classify p-tau217 positivity.

Results

AD-MCI and AD-DEM patients showed increased p-tau217 and spectral slowing (higher theta, lower alpha). While no correlations survived correction for multiple comparisons, stage-specific

SUBMITTER: Cecchetti G 

PROVIDER: S-EPMC12828574 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature