Minor Oral: "Functional Connectivity in Brain Network: Measures and Uses"

Abstract: It is an emerging topic to measure and model functional connectivity in the brain to facilitate the understanding of brain networks. Functional magnetic resonance imaging (fMRI) provides a primary tool to assess the functional connectivity between different brain regions regardless of spatial connectedness. This talk will focus on a study of Alzheimer’s disease using the resting-state functional connectivity magnetic resonance imaging (rs-fcMRI). There will be a review of a few metrics of functional segregation, functional integration, functional distinctness used in the literature, and along with some interesting results on the AD related brain networks. Besides the biology literature on brain networks, there will also be a few state-of-art statistical models of brain networks to inspire more statistical model development on functional connectivity in brain networks. Dynamic causal models, dynamic directional models, and a regression model of brain image data with integrated network topology will been included in the talk.

Hosts: Professors Ding and Lin