Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns.

ABSTRACT: In recent years, research on network analysis applied to MRI data has advanced significantly. However, the majority of the studies are limited to single networks obtained from resting-state fMRI, diffusion MRI, or gray matter probability maps derived from T1 images. Although a limited number of previous studies have combined two of these networks, none have introduced a framework to combine morphological, structural, and functional brain connectivity networks. The aim of this study was to combine the morphological, structural, and functional information, thus defining a new multilayer network perspective. This has proved advantageous when jointly analyzing multiple types of relational data from the same objects simultaneously using graph- mining techniques. The main contribution of this re

SUBMITTER: Casas-Roma J 

PROVIDER: S-EPMC9810367 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature