Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings.

ABSTRACT:

Introduction

Early identification of Alzheimer's disease (AD) is necessary for a timely onset of therapeutic care. However, cortical structural alterations associated with AD are difficult to discern.

Methods

We developed a cortical model of AD-related neurodegeneration accounting for slowing of local dynamics and global connectivity degradation. In a monocentric study we collected electroencephalography (EEG) recordings at rest from participants in healthy (HC, n = 17), subjective cognitive decline (SCD, n = 58), and mild cognitive impairment (MCI, n = 44) conditions. For each patient, we estimated neurodegeneration model parameters based on individual EEG recordings.

Results

Our model outperformed standard EEG analysis not only in discriminating

SUBMITTER: Amato LG 

PROVIDER: S-EPMC10870085 | biostudies-literature | 2024 Jan-Mar

REPOSITORIES: biostudies-literature