Evaluation of the spatial variability in the major resting‐state networks across human brain functional atlases

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 c...

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Bibliographic Details
Published in:Human brain mapping Vol. 40; no. 15; pp. 4577 - 4587
Main Authors: Doucet, Gaelle E., Lee, Won Hee, Frangou, Sophia
Format: Journal Article
Language:English
Published: Hoboken, USA John Wiley & Sons, Inc 15.10.2019
Subjects:
Adolescent
Adult
Anatomy, Artistic
Atlases as Topic
Brain
brain functional atlases
Connectome
consensual atlas
Cortex (parietal)
Executive Function
Female
functional connectivity
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Nerve Net - anatomy & histology
Nerve Net - physiology
Networks
Neural networks
Reproducibility of Results
resting‐state networks
Sensorimotor system
spatial variability
Variability
Young Adult
brain functional atlases
functional connectivity
consensual atlas
resting-state networks
spatial variability
ISSN:1065-9471, 1097-0193, 1097-0193
Online Access:Get full text
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Summary: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.
Bibliography:Funding information
National Institute of Mental Health, Grant/Award Numbers: R01‐MH116147, R01‐MH104284; Icahn School of Medicine at Mount Sinai
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Funding information National Institute of Mental Health, Grant/Award Numbers: R01‐MH116147, R01‐MH104284; Icahn School of Medicine at Mount Sinai
The copyright line for this article was changed on 7 September 2019 after original online publication.
ISSN:1065-9471
1097-0193
1097-0193
DOI:10.1002/hbm.24722