title: A Symmetry-Based Method to Infer Structural Brain Networks from Probabilistic Tractography Data.
abstract: Recent progress in diffusion MRI and tractography algorithms as well as the launch of the Human Connectome Project (HCP) have provided brain research with an abundance of structural connectivity data. In this work, we describe and evaluate a method that can infer the structural brain network that interconnects a given set of Regions of Interest (ROIs) from probabilistic tractography data. The proposed method, referred to asMinimum Asymmetry Network Inference Algorithm (MANIA), does not determine the connectivity between two ROIs based on an arbitrary connectivity threshold. Instead, we exploit a basic limitation of the tractography process: the observed streamlines from a source to a target do not provide any information about the polarity of the underlying white matter, and so if there are some fibers connecting two voxels (or two ROIs) X and Y, tractography should be able in principle to follow this connection in both directions, from X to Y and from Y to X. We leverage this limitation to formulate the network inference process as an optimization problem that minimizes the (appropriately normalized) asymmetry of the observed network. We evaluate the proposed method using both the FiberCup dataset and based on a noise model that randomly corrupts the observed connectivity of synthetic networks. As a case-study, we apply MANIA on diffusion MRI data from 28 healthy subjects to infer the structural network between 18 corticolimbic ROIs that are associated with various neuropsychiatric conditions including depression, anxiety and addiction.
authors.affiliation: School of Computer Science, Georgia Institute of Technology Atlanta, GA, USA.
authors.forename: Kamal
authors.initials: K
authors.lastname: Shadi
authors.affiliation: School of Computer Science, Georgia Institute of Technology Atlanta, GA, USA.
authors.forename: Saideh
authors.initials: S
authors.lastname: Bakhshi
authors.affiliation: Department of Neurology, Psychiatry and Biomedical Informatics, Emory University Atlanta, GA, USA.
authors.forename: David A
authors.initials: DA
authors.lastname: Gutman
authors.affiliation: Psychiatric Neuroimaging and Therapeutics, Department of Psychiatry, Neurology, and Radiology, Emory University Atlanta, GA, USA.
authors.forename: Helen S
authors.initials: HS
authors.lastname: Mayberg
authors.affiliation: School of Computer Science, Georgia Institute of Technology Atlanta, GA, USA.
authors.forename: Constantine
authors.initials: C
authors.lastname: Dovrolis
keywords: connectome; diffusion MRI; network analysis; structural network; tractography