Regression and Alignment for Functional Data and Network Topology.

ABSTRACT: In the brain, functional connections form a network whose topological organization can be described by graph-theoretic network diagnostics. These include characterizations of the community structure, such as modularity and participation coefficient, which have been shown to change over the course of childhood and adolescence. To investigate if such changes in the functional network are associated with changes in cognitive performance during development, network studies often rely on an arbitrary choice of pre-processing parameters, in particular the proportional threshold of network edges. Because the choice of parameter can impact the value of the network diagnostic, and therefore downstream conclusions, we propose to circumvent that choice by conceptualizing the network diagnostic as a f

SUBMITTER: Tu D 

PROVIDER: S-EPMC10370026 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature