Unknown

Dataset Information

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.


ABSTRACT: There is a great deal of interest in using large scale brain imaging studies to understand how brain connectivity evolves over time for an individual and how it varies over different levels/quantiles of cognitive function. To do so, one typically performs so-called tractography procedures on diffusion MR brain images and derives measures of brain connectivity expressed as graphs. The nodes correspond to distinct brain regions and the edges encode the strength of the connection. The scientific interest is in characterizing the evolution of these graphs over time or from healthy individuals to diseased. We pose this important question in terms of the Laplacian of the connectivity graphs derived from various longitudinal or disease time points - quantifying its progression is then expressed i

SUBMITTER: Hwang SJ 

PROVIDER: S-EPMC5089208 | biostudies-literature | 2016 Jun-Jul

REPOSITORIES: biostudies-literature