@article{5f7b6f62f4d84d3bab443c328c2c5638,
title = "Evaluation of the spatial variability in the major resting-state networks across human brain functional atlases",
abstract = "The human brain is intrinsically organized into resting-state networks (RSNs). Currently, several human brain functional atlases are used to define the spatial constituents of these RSNs. However, there are significant concerns about interatlas variability. In response, we undertook a quantitative comparison of the five major RSNs (default mode [DMN], salience, central executive, sensorimotor, and visual networks) across currently available brain functional atlases (n = 6) in which we demonstrated that (a) similarity between atlases was modest and positively linked to the size of the sample used to construct them; (b) across atlases, spatial overlap among major RSNs ranged between 17 and 76% (mean = 39%), which resulted in variability in their functional connectivity; (c) lower order RSNs were generally spatially conserved across atlases; (d) among higher order RSNs, the DMN was the most conserved across atlases; and (e) voxel-wise flexibility (i.e., the likelihood of a voxel to change network assignment across atlases) was high for subcortical regions and low for the sensory, motor and medial prefrontal cortices, and the precuneus. In order to facilitate RSN reproducibility in future studies, we provide a new freely available Consensual Atlas of REsting-state Networks, based on the most reliable atlases.",
keywords = "brain functional atlases, consensual atlas, functional connectivity, resting-state networks, spatial variability",
author = "Doucet, {Gaelle E.} and Lee, {Won Hee} and Sophia Frangou",
note = "Funding Information: This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai. Dr S.F. and Dr G.E.D. received support from the National Institute of Mental Health (R01-MH104284; R01-MH116147). Data collection and sharing for this project was provided by the MGH-USC HCP (NIH 1U54MH091657, http://www. humanconnectome.org/;Principal Investigators: Bruce Rosen, MD, PhD, Arthur W. Toga, PhD, Van J. Weeden, MD). HCP funding was provided by the National Institute of Dental and Craniofacial Research (NIDCR), the National Institute of Mental Health (NIMH), and the National Institute of Neurological Disorders and Stroke (NINDS). HCP data are disseminated by the Laboratory of Neuro Imaging at the University of California, Los Angeles. Funding Information: This work was supported in part through the computational resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai. Dr S.F. and Dr G.E.D. received support from the National Institute of Mental Health (R01-MH104284; R01-MH116147). Data collection and sharing for this project was provided by the MGH-USC HCP (NIH 1U54MH091657, http://www.humanconnectome.org/;Principal Investigators: Bruce Rosen, MD, PhD, Arthur W. Toga, PhD, Van J. Weeden, MD). HCP funding was provided by the National Institute of Dental and Craniofacial Research (NIDCR), the National Institute of Mental Health (NIMH), and the National Institute of Neurological Disorders and Stroke (NINDS). HCP data are disseminated by the Laboratory of Neuro Imaging at the University of California, Los Angeles. Publisher Copyright: {\textcopyright} 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.",
year = "2019",
month = oct,
day = "15",
doi = "10.1002/hbm.24722",
language = "English (US)",
volume = "40",
pages = "4577--4587",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley-Liss Inc.",
number = "15",
}