Structural connectivity centrality changes mark the path toward Alzheimer's disease.

ABSTRACT:

Introduction

The pathophysiological process of Alzheimer's disease is thought to begin years before clinical decline, with evidence suggesting prion-like spreading processes of neurofibrillary tangles and amyloid plaques.

Methods

Using diffusion magnetic resonance imaging data from the Alzheimer's Disease Neuroimaging Initiative database, we first identified relevant features for dementia diagnosis. We then created dynamic models with the Nathan Kline Institute-Rockland Sample database to estimate the earliest detectable stage associated with dementia in the simulated disease progression.

Results

A classifier based on centrality measures provides informative predictions. Strength and closeness centralities are the most discriminative features, which are associated wit

SUBMITTER: Peraza LR 

PROVIDER: S-EPMC6350419 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature