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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... Full description

Journal Title: NeuroImage 15 October 2013, Vol.80, pp.144-168
Main Author: Smith, Stephen M
Other Authors: Beckmann, Christian F , Andersson, Jesper , Auerbach, Edward J , Bijsterbosch, Janine , Douaud, Gwenaëlle , Duff, Eugene , Feinberg, David A , Griffanti, Ludovica , Harms, Michael P , Kelly, Michael , Laumann, Timothy , Miller, Karla L , Moeller, Steen , Petersen, Steve , Power, Jonathan , Salimi-Khorshidi, Gholamreza , Snyder, Abraham Z , Vu, An T , Woolrich, Mark W , Xu, Junqian , Yacoub, Essa , Uğurbil, Kamil , Van Essen, David C , Glasser, Matthew F
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 1053-8119 ; E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2013.05.039
Link: https://www.sciencedirect.com/science/article/pii/S1053811913005338
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recordid: elsevier_sdoi_10_1016_j_neuroimage_2013_05_039
title: Resting-state fMRI in the Human Connectome Project
format: Article
creator:
  • Smith, Stephen M
  • Beckmann, Christian F
  • Andersson, Jesper
  • Auerbach, Edward J
  • Bijsterbosch, Janine
  • Douaud, Gwenaëlle
  • Duff, Eugene
  • Feinberg, David A
  • Griffanti, Ludovica
  • Harms, Michael P
  • Kelly, Michael
  • Laumann, Timothy
  • Miller, Karla L
  • Moeller, Steen
  • Petersen, Steve
  • Power, Jonathan
  • Salimi-Khorshidi, Gholamreza
  • Snyder, Abraham Z
  • Vu, An T
  • Woolrich, Mark W
  • Xu, Junqian
  • Yacoub, Essa
  • Uğurbil, Kamil
  • Van Essen, David C
  • Glasser, Matthew F
subjects:
  • Medicine
ispartof: NeuroImage, 15 October 2013, Vol.80, pp.144-168
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.
language: eng
source:
identifier: ISSN: 1053-8119 ; E-ISSN: 1095-9572 ; DOI: 10.1016/j.neuroimage.2013.05.039
fulltext: fulltext
issn:
  • 1053-8119
  • 10538119
  • 1095-9572
  • 10959572
url: Link


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descriptionResting-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.
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