Estimation of positron emission tomography amyloid load and related biomarkers in Alzheimer’s disease using evoked potential tomography EEG: development and internal validation in a cross-sectional cohort

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2026年6月12日

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Boris-Stephan Rauchmann,
James Hamet,
Jesyin Lai,
Homeira Kafi,
Joe Rexwinkle,
Matthias Brendel,
Nicolai Franzmeier,
Carolin Kurz,
Oliver Pogarell,
Johannes Levin,
Günter Höglinger,
Robert Perneczky

摘要

Background

Dementia affects over 50 million individuals globally, predominantly due to Alzheimer’s disease (AD). Effective early detection and intervention remain clinical challenges, as there is a lack of unified, portable solutions to assess multiple biomarkers.

Methods

We evaluated Evoked Potential Tomography (EPT), an EEG-based method using a novel visual evoked potential protocol. An automated pipeline for EEG preprocessing, ERP extraction, feature selection, optimization, and regression modeling was developed to estimate key AD biomarkers: PET-amyloid standardized uptake value ratio (SUVR), CSF phosphorylated tau (p-tau181), Free and Cued Selective Reminding Test (FCSRT), and Mini-Mental State Examination (MMSE) scores.

Results

Regression models using ERP features from dementia participants demonstrated strong correlations (r = 0.8–0.94, p < 0.01) between predicted and true PET-amyloid SUVR, p-tau181, FCSRT, and MMSE values. In an independent external cohort, PET-amyloid SUVR predictions remained significantly associated with true values (r = 0.60, p < 0.01).

Discussion

Despite limitations, these preliminary results support EPT’s potential as a sensitive and non-invasive method for estimating AD-related biomarkers in a clinically enriched AD cohort. Further validation studies are ongoing.