Literature DB >> 33245051

The benefit of high-performance gradients on echo planar imaging for BOLD-based resting-state functional MRI.

Daehun Kang1,2, Hang Joon Jo1,3,2, Myung-Ho In1, Uten Yarach1,4, Nolan K Meyer1,5, Lydia J Bardwell Speltz1,5, Erin M Gray1, Joshua D Trzasko1, John Huston Iii1, Matt A Bernstein1, Yunhong Shu1.   

Abstract

Improved gradient performance in an MRI system reduces distortion in echo planar imaging (EPI), which has been a key imaging method for functional studies. A lightweight, low-cryogen compact 3T MRI scanner (C3T) is capable of achieving 80 mT m-1 gradient amplitude with 700 T m-1 s-1 slew rate, in comparison with a conventional whole-body 3T MRI scanner (WB3T, 50 mT m-1 with 200 T m-1 s-1). We investigated benefits of the high-performance gradients in a high-spatial-resolution (1.5 mm isotropic) functional MRI study. Reduced echo spacing in the EPI pulse sequence inherently leads to less severe geometric distortion, which provided higher accuracy than with WB3T for registration between EPI and anatomical images. The cortical coverage of C3T datasets was improved by more accurate signal depiction (i.e. less dropout or pile-up). Resting-state functional analysis results showed that greater magnitude and extent in functional connectivity (FC) for the C3T than the WB3T when the selected seed region is susceptible to distortions, while the FC matrix for well-known brain networks showed little difference between the two scanners. This shows that the improved quality in EPI is particularly valuable for studying certain brain regions typically obscured by severe distortion.

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Year:  2020        PMID: 33245051      PMCID: PMC7976731          DOI: 10.1088/1361-6560/abb2ec

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  47 in total

1.  Mapping sources of correlation in resting state FMRI, with artifact detection and removal.

Authors:  Hang Joon Jo; Ziad S Saad; W Kyle Simmons; Lydia A Milbury; Robert W Cox
Journal:  Neuroimage       Date:  2010-04-24       Impact factor: 6.556

2.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

Authors:  S Ogawa; T M Lee; A R Kay; D W Tank
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

3.  B0 concomitant field compensation for MRI systems employing asymmetric transverse gradient coils.

Authors:  Paul T Weavers; Shengzhen Tao; Joshua D Trzasko; Louis M Frigo; Yunhong Shu; Matthew A Frick; Seung-Kyun Lee; Thomas K-F Foo; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2017-06-21       Impact factor: 4.668

4.  Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters.

Authors:  C Triantafyllou; R D Hoge; G Krueger; C J Wiggins; A Potthast; G C Wiggins; L L Wald
Journal:  Neuroimage       Date:  2005-05-15       Impact factor: 6.556

5.  Improved image reconstruction for partial Fourier gradient-echo echo-planar imaging (EPI).

Authors:  Nan-kuei Chen; Koichi Oshio; Lawrence P Panych
Journal:  Magn Reson Med       Date:  2008-04       Impact factor: 4.668

6.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

Authors:  R W Cox
Journal:  Comput Biomed Res       Date:  1996-06

7.  Within-subject template estimation for unbiased longitudinal image analysis.

Authors:  Martin Reuter; Nicholas J Schmansky; H Diana Rosas; Bruce Fischl
Journal:  Neuroimage       Date:  2012-03-10       Impact factor: 6.556

8.  Gradient nonlinearity calibration and correction for a compact, asymmetric magnetic resonance imaging gradient system.

Authors:  S Tao; J D Trzasko; J L Gunter; P T Weavers; Y Shu; J Huston; S K Lee; E T Tan; M A Bernstein
Journal:  Phys Med Biol       Date:  2016-12-29       Impact factor: 3.609

9.  Evaluation of Multiband EPI Acquisitions for Resting State fMRI.

Authors:  Christine Preibisch; J Gabriel Castrillón G; Martin Bührer; Valentin Riedl
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

10.  Resting-state fMRI in the Human Connectome Project.

Authors:  Stephen M Smith; Christian F Beckmann; Jesper Andersson; Edward J Auerbach; Janine Bijsterbosch; Gwenaëlle Douaud; Eugene Duff; David A Feinberg; Ludovica Griffanti; Michael P Harms; Michael Kelly; Timothy Laumann; Karla L Miller; Steen Moeller; Steve Petersen; Jonathan Power; Gholamreza Salimi-Khorshidi; Abraham Z Snyder; An T Vu; Mark W Woolrich; Junqian Xu; Essa Yacoub; Kamil Uğurbil; David C Van Essen; Matthew F Glasser
Journal:  Neuroimage       Date:  2013-05-20       Impact factor: 6.556

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