A Novel Individual Metabolic Brain Network for 18F-FDG PET Imaging.

ABSTRACT:

Introduction

Metabolic brain network analysis based on graph theory using FDG PET imaging is potentially useful for investigating brain activity alternation due to metabolism changes in different stages of Alzheimer's disease (AD). Most studies on metabolic network construction have been based on group data. Here a novel approach in building an individual metabolic network was proposed to investigate individual metabolic network abnormalities.

Method

First, a weighting matrix was calculated based on the interregional effect size difference of mean uptake between a single subject and average normal controls (NCs). Then the weighting matrix for a single subject was multiplied by a group-based connectivity matrix from an NC cohort. To study the performance of the proposed indiv

SUBMITTER: Huang SY 

PROVIDER: S-EPMC7235322 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature