The Effect of Aging on Brain Glucose Metabolic Connectivity Revealed by [¹⁸F]FDG PET-MR and Individual Brain Networks.

ABSTRACT: Contrary to group-based brain connectivity analyses, the aim of this study was to construct individual brain metabolic networks to determine age-related effects on brain metabolic connectivity. Static 40-60 min [¹⁸F]FDG positron emission tomography (PET) images of 67 healthy subjects between 20 and 82 years were acquired with an integrated PET-MR system. Network nodes were defined by brain parcellation using the Schaefer atlas, while connectivity strength between two nodes was determined by comparing the distribution of PET uptake values within each node using a Kullback-Leibler divergence similarity estimation (KLSE). After constructing individual brain networks, a linear and quadratic regression analysis of metabolic connectivity strengths within- and between-networks was perf

SUBMITTER: Mertens N 

PROVIDER: S-EPMC8865456 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature