title: Probabilistic atlases of default mode, executive control and salience network white matter tracts: an fMRI-guided diffusion tensor imaging and tractography study.
abstract: Diffusion tensor imaging (DTI) is a powerful MRI technique that can be used to estimate both the microstructural integrity and the trajectories of white matter pathways throughout the central nervous system. This fiber tracking (aka, "tractography") approach is often carried out using anatomically-defined seed points to identify white matter tracts that pass through one or more structures, but can also be performed using functionally-defined regions of interest (ROIs) that have been determined using functional MRI (fMRI) or other methods. In this study, we performed fMRI-guided DTI tractography between all of the previously defined nodes within each of six common resting-state brain networks, including the: dorsal Default Mode Network (dDMN), ventral Default Mode Network (vDMN), left Executive Control Network (lECN), right Executive Control Network (rECN), anterior Salience Network (aSN), and posterior Salience Network (pSN). By normalizing the data from 32 healthy control subjects to a standard template-using high-dimensional, non-linear warping methods-we were able to create probabilistic white matter atlases for each tract in stereotaxic coordinates. By investigating all 198 ROI-to-ROI combinations within the aforementioned resting-state networks (for a total of 6336 independent DTI tractography analyses), the resulting probabilistic atlases represent a comprehensive cohort of functionally-defined white matter regions that can be used in future brain imaging studies to: (1) ascribe DTI or other white matter changes to particular functional brain networks, and (2) compliment resting state fMRI or other functional connectivity analyses.
authors.affiliation: Department of Radiology, University of Manitoba Winnipeg, MB, Canada ; Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, MB, Canada ; Neuroscience Research Program, Kleysen Institute for Advanced Medicine Winnipeg, MB, Canada.
authors.forename: Teresa D
authors.initials: TD
authors.lastname: Figley
authors.affiliation: Department of Radiology, University of Manitoba Winnipeg, MB, Canada ; Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, MB, Canada ; Neuroscience Research Program, Kleysen Institute for Advanced Medicine Winnipeg, MB, Canada.
authors.forename: Navdeep
authors.initials: N
authors.lastname: Bhullar
authors.affiliation: Department of Psychological and Brain Sciences, Johns Hopkins University Baltimore, MD, USA ; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University Baltimore, MD, USA ; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute Baltimore, MD, USA.
authors.forename: Susan M
authors.initials: SM
authors.lastname: Courtney
authors.affiliation: Department of Radiology, University of Manitoba Winnipeg, MB, Canada ; Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, MB, Canada ; Neuroscience Research Program, Kleysen Institute for Advanced Medicine Winnipeg, MB, Canada ; Department of Psychological and Brain Sciences, Johns Hopkins University Baltimore, MD, USA ; Biomedical Engineering Graduate Program, University of Manitoba Winnipeg, MB, Canada.
authors.forename: Chase R
authors.initials: CR
authors.lastname: Figley
keywords: brain atlas; connectivity; connectome; default mode network; executive control network; salience network; white matter