Resting-state fMRI in the Human Connectome Project.

Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one...

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Main Authors: Smith, S, Beckmann, C, Andersson, J, Auerbach, E, Bijsterbosch, J, Douaud, G, Duff, E, Feinberg, D, Griffanti, L, Harms, M, Kelly, M, Laumann, T, Miller, K, Moeller, S, Petersen, S, Power, J, Salimi-Khorshidi, G, Snyder, A, Vu, A, Woolrich, M, Xu, J, Yacoub, E, Uğurbil, K, Van Essen, D, Glasser, M
Format: Journal article
Language:English
Published: 2013
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author Smith, S
Beckmann, C
Andersson, J
Auerbach, E
Bijsterbosch, J
Douaud, G
Duff, E
Feinberg, D
Griffanti, L
Harms, M
Kelly, M
Laumann, T
Miller, K
Moeller, S
Petersen, S
Power, J
Salimi-Khorshidi, G
Snyder, A
Vu, A
Woolrich, M
Xu, J
Yacoub, E
Uğurbil, K
Van Essen, D
Glasser, M
author_facet Smith, S
Beckmann, C
Andersson, J
Auerbach, E
Bijsterbosch, J
Douaud, G
Duff, E
Feinberg, D
Griffanti, L
Harms, M
Kelly, M
Laumann, T
Miller, K
Moeller, S
Petersen, S
Power, J
Salimi-Khorshidi, G
Snyder, A
Vu, A
Woolrich, M
Xu, J
Yacoub, E
Uğurbil, K
Van Essen, D
Glasser, M
author_sort Smith, S
collection OXFORD
description Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for the Human Connectome Project (the other being diffusion MRI). A key objective is to generate a detailed in vivo mapping of functional connectivity in a large cohort of healthy adults (over 1000 subjects), and to make these datasets freely available for use by the neuroimaging community. In each subject we acquire a total of 1h of whole-brain rfMRI data at 3 T, with a spatial resolution of 2×2×2 mm and a temporal resolution of 0.7s, capitalizing on recent developments in slice-accelerated echo-planar imaging. We will also scan a subset of the cohort at higher field strength and resolution. In this paper we outline the work behind, and rationale for, decisions taken regarding the rfMRI data acquisition protocol and pre-processing pipelines, and present some initial results showing data quality and example functional connectivity analyses.
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spelling oxford-uuid:7f2c5466-e8b7-4f2d-b337-975d5ff82c8b2022-03-26T21:15:09ZResting-state fMRI in the Human Connectome Project.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7f2c5466-e8b7-4f2d-b337-975d5ff82c8bEnglishSymplectic Elements at Oxford2013Smith, SBeckmann, CAndersson, JAuerbach, EBijsterbosch, JDouaud, GDuff, EFeinberg, DGriffanti, LHarms, MKelly, MLaumann, TMiller, KMoeller, SPetersen, SPower, JSalimi-Khorshidi, GSnyder, AVu, AWoolrich, MXu, JYacoub, EUğurbil, KVan Essen, DGlasser, MResting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for the Human Connectome Project (the other being diffusion MRI). A key objective is to generate a detailed in vivo mapping of functional connectivity in a large cohort of healthy adults (over 1000 subjects), and to make these datasets freely available for use by the neuroimaging community. In each subject we acquire a total of 1h of whole-brain rfMRI data at 3 T, with a spatial resolution of 2×2×2 mm and a temporal resolution of 0.7s, capitalizing on recent developments in slice-accelerated echo-planar imaging. We will also scan a subset of the cohort at higher field strength and resolution. In this paper we outline the work behind, and rationale for, decisions taken regarding the rfMRI data acquisition protocol and pre-processing pipelines, and present some initial results showing data quality and example functional connectivity analyses.
spellingShingle Smith, S
Beckmann, C
Andersson, J
Auerbach, E
Bijsterbosch, J
Douaud, G
Duff, E
Feinberg, D
Griffanti, L
Harms, M
Kelly, M
Laumann, T
Miller, K
Moeller, S
Petersen, S
Power, J
Salimi-Khorshidi, G
Snyder, A
Vu, A
Woolrich, M
Xu, J
Yacoub, E
Uğurbil, K
Van Essen, D
Glasser, M
Resting-state fMRI in the Human Connectome Project.
title Resting-state fMRI in the Human Connectome Project.
title_full Resting-state fMRI in the Human Connectome Project.
title_fullStr Resting-state fMRI in the Human Connectome Project.
title_full_unstemmed Resting-state fMRI in the Human Connectome Project.
title_short Resting-state fMRI in the Human Connectome Project.
title_sort resting state fmri in the human connectome project
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