A graph-based framework for analysing temporal brain network connectivity on longitudinal imagingPP

Graph theory has been applied to study brain network connectivity on cross-sectional imaging. We extend the existing study to analyze brain network connectivity on longitudinal imaging. Representing the temporal brain network as a multi-layer graphical network, various metrics are proposed to analyse the temporal brain connectivity that involves the intra/inter-layer communications. The supra-Laplacian is considered along with inter layer graph-Laplacian to provide insights into the temporal evolution.

This is poster number 12 in Poster Session

Poay Hoon Lim (University of Calgary)
Wee Keong Lim (Marianopolis College)
brain network, machine learning