Literature DB >> 21406235

Head-repositioning does not reduce the reproducibility of fMRI activation in a block-design motor task.

David A Soltysik1, David Thomasson, Sunder Rajan, Javier Gonzalez-Castillo, Paul DiCamillo, Nadia Biassou.   

Abstract

It is hypothesized that, based upon partial volume effects and spatial non-uniformities of the scanning environment, repositioning a subject's head inside the head coil between separate functional MRI scans will reduce the reproducibility of fMRI activation compared to a series of functional runs where the subject's head remains in the same position. Nine subjects underwent fMRI scanning where they performed a sequential, oppositional finger-tapping task. The first five runs were conducted with the subject's head remaining stable inside the head coil. Following this, four more runs were collected after the subject removed and replaced his/her head inside the head coil before each run. The coefficient of variation was calculated for four metrics: the distance from the anterior commisure to the center of mass of sensorimotor activation, maximum t-statistic, activation volume, and average percent signal change. These values were compared for five head-stabilization runs and five head-repositioning runs. Voxelwise intraclass correlation coefficients were also calculated to assess the spatial distribution of sources of variance. Interestingly, head repositioning was not seen to significantly affect the reproducibility of fMRI activation (p<0.05). In addition, the threshold level affected the reproducibility of activation volume and percent signal change. Published by Elsevier Inc.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21406235      PMCID: PMC3085718          DOI: 10.1016/j.neuroimage.2011.03.023

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  28 in total

1.  Real-time 3D image registration for functional MRI.

Authors:  R W Cox; A Jesmanowicz
Journal:  Magn Reson Med       Date:  1999-12       Impact factor: 4.668

2.  Neuroimaging at 1.5 T and 3.0 T: comparison of oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; A Kastrup; G H Glover
Journal:  Magn Reson Med       Date:  2001-04       Impact factor: 4.668

3.  The variability of serial fMRI data: correlation between a visual and a motor task.

Authors:  D Waldvogel; P van Gelderen; I Immisch; C Pfeiffer; M Hallett
Journal:  Neuroreport       Date:  2000-11-27       Impact factor: 1.837

4.  Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.

Authors:  G H Glover; T Q Li; D Ress
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

5.  Radio frequency magnetic field mapping of a 3 Tesla birdcage coil: experimental and theoretical dependence on sample properties.

Authors:  M Alecci; C M Collins; M B Smith; P Jezzard
Journal:  Magn Reson Med       Date:  2001-08       Impact factor: 4.668

6.  High-resolution fMRI using multislice partial k-space GR-EPI with cubic voxels.

Authors:  J S Hyde; B B Biswal; A Jesmanowicz
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

7.  Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

Authors:  Christopher R Genovese; Nicole A Lazar; Thomas Nichols
Journal:  Neuroimage       Date:  2002-04       Impact factor: 6.556

8.  A global optimisation method for robust affine registration of brain images.

Authors:  M Jenkinson; S Smith
Journal:  Med Image Anal       Date:  2001-06       Impact factor: 8.545

9.  Physiological noise in oxygenation-sensitive magnetic resonance imaging.

Authors:  G Krüger; G H Glover
Journal:  Magn Reson Med       Date:  2001-10       Impact factor: 4.668

Review 10.  How reliable are the results from functional magnetic resonance imaging?

Authors:  Craig M Bennett; Michael B Miller
Journal:  Ann N Y Acad Sci       Date:  2010-03       Impact factor: 5.691

View more
  8 in total

1.  Investigation of long-term reproducibility of intrinsic connectivity network mapping: a resting-state fMRI study.

Authors:  Y-h Chou; L P Panych; C C Dickey; J R Petrella; N-k Chen
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

2.  Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility.

Authors:  Xiaomu Song; Lawrence P Panych; Nan-Kuei Chen
Journal:  Brain Connect       Date:  2015-11-18

3.  Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based fMRI.

Authors:  David A Soltysik; David Thomasson; Sunder Rajan; Nadia Biassou
Journal:  J Neurosci Methods       Date:  2014-12-04       Impact factor: 2.390

4.  fMRI reliability: influences of task and experimental design.

Authors:  Craig M Bennett; Michael B Miller
Journal:  Cogn Affect Behav Neurosci       Date:  2013-12       Impact factor: 3.526

5.  A Rotational Cylindrical fMRI Phantom for Image Quality Control.

Authors:  David A Tovar; Wang Zhan; Sunder S Rajan
Journal:  PLoS One       Date:  2015-12-01       Impact factor: 3.240

6.  Hippocampal spatial position evaluation on MRI for research and clinical practice.

Authors:  Jana Mrzílkova; Antonella Koutela; Martina Kutová; Matěj Patzelt; Ibrahim Ibrahim; Dina Al-Kayssi; Aleš Bartoš; Daniela Řípová; Pavla Čermáková; Petr Zach
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

7.  Using High Spatial Resolution to Improve BOLD fMRI Detection at 3T.

Authors:  Juliana Iranpour; Gil Morrot; Béatrice Claise; Betty Jean; Jean-Marie Bonny
Journal:  PLoS One       Date:  2015-11-09       Impact factor: 3.240

8.  Optimizing data processing to improve the reproducibility of single-subject functional magnetic resonance imaging.

Authors:  David A Soltysik
Journal:  Brain Behav       Date:  2020-04-19       Impact factor: 2.708

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.