MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis.

ABSTRACT: The analysis of the brain from a connectivity perspective is revealing novel insights into brain structure and function. Discovery is, however, hindered by the lack of prior knowledge used to make hypotheses. Additionally, exploratory data analysis is made complex by the high dimensionality of data. Indeed, to assess the effect of pathological states on brain networks, neuroscientists are often required to evaluate experimental effects in case-control studies, with hundreds of thousands of connections. In this paper, we propose an approach to identify the multivariate relationships in brain connections that characterize two distinct groups, hence permitting the investigators to immediately discover the subnetworks that contain information about the differences between experimental groups.

SUBMITTER: Crimi A 

PROVIDER: S-EPMC6329758 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature