Abstract Details

Title Reconstructing Amyloid PET Imaging from Dementia Patients using EEG Acquired from Evoked Potential Tomography

Topic Aging, Dementia, and Behavioral Neurology

Presentation(s) P8 - Poster Session 8 (11:45 AM-12:45 PM)

Poster/Presentation
Number 12-013

Objective To develop a tool for monitoring quantitative changes in brain-amyloid burden, with Evoked Potential Tomography (EPT), a portable, noninvasive EEG protocol that is capable of reconstructing 2D PET-like images from event-related potentials (ERPs), such that monitoring change between PET scans is possible. Two approaches were tested using visually evoked and resting-state EEG (eyes open/closed).

Background Over 50 million people live with dementia worldwide, most due to Alzheimer’s disease (AD). Amyloid assessment is crucial for diagnosis and monitoring; however, PET is limited by its cost, accessibility, and potential for radiation exposure. EPT offers an EEG-based alternative for generating 2D images approximating ground-truth amyloid distribution from PET.

Design/Methods Twenty participants spanning subjective cognitive impairment to clinical AD were enrolled. EEG and PET were acquired on separate visits. The PET reconstruction pipeline included: (1) registration to a common template; (2) extraction and cortical masking of the axial mid-slice; (3) global intensity harmonization and pixel standardization; (4) cortical division into six regions (left/right anterior, central, posterior); (5) regional principal component (PC) analysis, retaining 11–12 PCs; (6) selection of EPT or resting-state features with Spearman’s correlation >0.65 and inter-correlation <0.7; (7) training a bootstrapped ensemble regressor to predict PCs; and (8) inverse transformation and regional recombination to reconstruct 2D PET-like images. Reconstruction was validated on a held-out test set using the structural similarity index measure (SSIM), with non-brain background masked.

Results PET image reconstruction from EPT features on the held-out test set produced qualitatively similar results to ground truth, with an average SSIM of 72%. In comparison, repeating the same procedures using resting state EEG yielded significantly weaker results.

Conclusions EPT can noninvasively yield 2D PET-like images of amyloid burden, representing a feasible, low-burden adjunct to PET for assessment and monitoring. Validation in larger, independent, and longitudinal cohorts is needed to confirm generalizability, enhance fidelity, and define clinical utility.

Authors/Disclosures
James C. Hamet PRESENTER	Mr. Hamet has received personal compensation for serving as an employee of Vistim Labs . Mr. Hamet has or had stock in Vistim Labs .Mr. Hamet has received intellectual property interests from a discovery or technology relating to health care.
Homeira Islam Kafi, PhD	Dr. Kafi has received personal compensation for serving as an employee of Vistim Labs Inc. Dr. Kafi has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Vistim Labs Inc.
Joe Rexwinkle, PhD	Dr. Rexwinkle has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Vistim Labs.
Krishna Malhotra, Student	Mr. Malhotra has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Vistim Labs Inc..
Jesyin Lai	Dr. Lai has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Vistim Labs.

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