Functional quantitative susceptibility mapping (fQSM)

Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) is a powerful technique, typically based on the statistical analysis of the magnitude component of the complex time-series. Here, we additionally interrogated the phase data of the fMRI time-series and used quantit...

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Main Authors: Balla, Dávid Z., Sánchez-Panchuelo, Rosa-Maria, Wharton, Samuel J., Hagberg, Gisela E, Scheffler, Klaus, Francis, Susan T., Bowtell, Richard W.
Format: Article
Published: Elsevier 2014
Subjects:
Online Access:https://eprints.nottingham.ac.uk/37034/
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author Balla, Dávid Z.
Sánchez-Panchuelo, Rosa-Maria
Wharton, Samuel J.
Hagberg, Gisela E,
Scheffler, Klaus
Francis, Susan T.
Bowtell, Richard W.
author_facet Balla, Dávid Z.
Sánchez-Panchuelo, Rosa-Maria
Wharton, Samuel J.
Hagberg, Gisela E,
Scheffler, Klaus
Francis, Susan T.
Bowtell, Richard W.
author_sort Balla, Dávid Z.
building Nottingham Research Data Repository
collection Online Access
description Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) is a powerful technique, typically based on the statistical analysis of the magnitude component of the complex time-series. Here, we additionally interrogated the phase data of the fMRI time-series and used quantitative susceptibility mapping (QSM) in order to investigate the potential of functional QSM (fQSM) relative to standard magnitude BOLD fMRI. High spatial resolution data (1 mm isotropic) were acquired every 3 seconds using zoomed multi-slice gradient-echo EPI collected at 7 T in single orientation (SO) and multiple orientation (MO) experiments, the latter involving 4 repetitions with the subject's head rotated relative to B0. Statistical parametric maps (SPM) were reconstructed for magnitude, phase and QSM time-series and each was subjected to detailed analysis. Several fQSM pipelines were evaluated and compared based on the relative number of voxels that were coincidentally found to be significant in QSM and magnitude SPMs (common voxels). We found that sensitivity and spatial reliability of fQSM relative to the magnitude data depended strongly on the arbitrary significance threshold defining “activated” voxels in SPMs, and on the efficiency of spatio-temporal filtering of the phase time-series. Sensitivity and spatial reliability depended slightly on whether MO or SO fQSM was performed and on the QSM calculation approach used for SO data. Our results present the potential of fQSM as a quantitative method of mapping BOLD changes. We also critically discuss the technical challenges and issues linked to this intriguing new technique.
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spelling nottingham-370342020-05-04T16:49:27Z https://eprints.nottingham.ac.uk/37034/ Functional quantitative susceptibility mapping (fQSM) Balla, Dávid Z. Sánchez-Panchuelo, Rosa-Maria Wharton, Samuel J. Hagberg, Gisela E, Scheffler, Klaus Francis, Susan T. Bowtell, Richard W. Blood oxygenation level dependent (BOLD) functional magnetic resonance imaging (fMRI) is a powerful technique, typically based on the statistical analysis of the magnitude component of the complex time-series. Here, we additionally interrogated the phase data of the fMRI time-series and used quantitative susceptibility mapping (QSM) in order to investigate the potential of functional QSM (fQSM) relative to standard magnitude BOLD fMRI. High spatial resolution data (1 mm isotropic) were acquired every 3 seconds using zoomed multi-slice gradient-echo EPI collected at 7 T in single orientation (SO) and multiple orientation (MO) experiments, the latter involving 4 repetitions with the subject's head rotated relative to B0. Statistical parametric maps (SPM) were reconstructed for magnitude, phase and QSM time-series and each was subjected to detailed analysis. Several fQSM pipelines were evaluated and compared based on the relative number of voxels that were coincidentally found to be significant in QSM and magnitude SPMs (common voxels). We found that sensitivity and spatial reliability of fQSM relative to the magnitude data depended strongly on the arbitrary significance threshold defining “activated” voxels in SPMs, and on the efficiency of spatio-temporal filtering of the phase time-series. Sensitivity and spatial reliability depended slightly on whether MO or SO fQSM was performed and on the QSM calculation approach used for SO data. Our results present the potential of fQSM as a quantitative method of mapping BOLD changes. We also critically discuss the technical challenges and issues linked to this intriguing new technique. Elsevier 2014-06-16 Article PeerReviewed Balla, Dávid Z., Sánchez-Panchuelo, Rosa-Maria, Wharton, Samuel J., Hagberg, Gisela E,, Scheffler, Klaus, Francis, Susan T. and Bowtell, Richard W. (2014) Functional quantitative susceptibility mapping (fQSM). NeuroImage, 100 . pp. 112-124. ISSN 1095-9572 fMRI; Functional QSM; MR phase imaging; Susceptibility mapping; Quantitative BOLD; Specific brain activation http://www.sciencedirect.com/science/article/pii/S1053811914004881 doi:10.1016/j.neuroimage.2014.06.011 doi:10.1016/j.neuroimage.2014.06.011
spellingShingle fMRI; Functional QSM; MR phase imaging; Susceptibility mapping; Quantitative BOLD; Specific brain activation
Balla, Dávid Z.
Sánchez-Panchuelo, Rosa-Maria
Wharton, Samuel J.
Hagberg, Gisela E,
Scheffler, Klaus
Francis, Susan T.
Bowtell, Richard W.
Functional quantitative susceptibility mapping (fQSM)
title Functional quantitative susceptibility mapping (fQSM)
title_full Functional quantitative susceptibility mapping (fQSM)
title_fullStr Functional quantitative susceptibility mapping (fQSM)
title_full_unstemmed Functional quantitative susceptibility mapping (fQSM)
title_short Functional quantitative susceptibility mapping (fQSM)
title_sort functional quantitative susceptibility mapping (fqsm)
topic fMRI; Functional QSM; MR phase imaging; Susceptibility mapping; Quantitative BOLD; Specific brain activation
url https://eprints.nottingham.ac.uk/37034/
https://eprints.nottingham.ac.uk/37034/
https://eprints.nottingham.ac.uk/37034/