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...
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
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2013
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| _version_ | 1826288464648208384 |
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| author | Smith, S Andersson, J Bijsterbosch, J Douaud, G Duff, E Griffanti, L Kelly, M Miller, K Salimi-Khorshidi, G Auerbach, E Moeller, S Vu, A Xu, J Yacoub, E Uǧurbil, K Beckmann, C Feinberg, D Harms, M Laumann, T Petersen, S Power, J Snyder, A Van Essen, D Glasser, M Woolrich, M |
| author_facet | Smith, S Andersson, J Bijsterbosch, J Douaud, G Duff, E Griffanti, L Kelly, M Miller, K Salimi-Khorshidi, G Auerbach, E Moeller, S Vu, A Xu, J Yacoub, E Uǧurbil, K Beckmann, C Feinberg, D Harms, M Laumann, T Petersen, S Power, J Snyder, A Van Essen, D Glasser, M Woolrich, 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 1. h of whole-brain rfMRI data at 3. T, with a spatial resolution of 2. ×. 2. ×. 2. mm and a temporal resolution of 0.7. s, 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. © 2013 Elsevier Inc. |
| first_indexed | 2024-03-07T02:14:06Z |
| format | Journal article |
| id | oxford-uuid:a1a1941c-b087-4f1e-947b-5d5c30361af0 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T02:14:06Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | oxford-uuid:a1a1941c-b087-4f1e-947b-5d5c30361af02022-03-27T02:14:39ZResting-state fMRI in the Human Connectome ProjectJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a1a1941c-b087-4f1e-947b-5d5c30361af0Symplectic Elements at Oxford2013Smith, SAndersson, JBijsterbosch, JDouaud, GDuff, EGriffanti, LKelly, MMiller, KSalimi-Khorshidi, GAuerbach, EMoeller, SVu, AXu, JYacoub, EUǧurbil, KBeckmann, CFeinberg, DHarms, MLaumann, TPetersen, SPower, JSnyder, AVan Essen, DGlasser, MWoolrich, 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 1. h of whole-brain rfMRI data at 3. T, with a spatial resolution of 2. ×. 2. ×. 2. mm and a temporal resolution of 0.7. s, 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. © 2013 Elsevier Inc. |
| spellingShingle | Smith, S Andersson, J Bijsterbosch, J Douaud, G Duff, E Griffanti, L Kelly, M Miller, K Salimi-Khorshidi, G Auerbach, E Moeller, S Vu, A Xu, J Yacoub, E Uǧurbil, K Beckmann, C Feinberg, D Harms, M Laumann, T Petersen, S Power, J Snyder, A Van Essen, D Glasser, M Woolrich, 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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