Group-level comparison of brain connectivity networks

ABSTRACT:

Background

Functional connectivity (FC) studies are often performed to discern different patterns of brain connectivity networks between healthy and patient groups. Since many neuropsychiatric disorders are related to the change in these patterns, accurate modelling of FC data can provide useful information about disease pathologies. However, analysing functional connectivity data faces several challenges, including the correlations of the connectivity edges associated with network topological characteristics, the large number of parameters in the covariance matrix, and taking into account the heterogeneity across subjects.

Methods

This study provides a new statistical approach to compare the FC networks between subgroups that consider the network topological structure of

SUBMITTER: Pourmotahari F 

PROVIDER: S-EPMC9575214 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature