D�vid Z. Balla
Functional quantitative susceptibility mapping (fQSM)
Balla, D�vid Z.; S�nchez-Panchuelo, Rosa-Maria; Wharton, Samuel J.; Hagberg, Gisela E.; Scheffler, Klaus; Francis, Susan T.; Bowtell, Richard
Authors
Rosa-Maria S�nchez-Panchuelo
Samuel J. Wharton
Gisela E. Hagberg
Klaus Scheffler
Professor SUSAN FRANCIS susan.francis@nottingham.ac.uk
PROFESSOR OF PHYSICS
Professor RICHARD BOWTELL RICHARD.BOWTELL@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Abstract
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.
Citation
Balla, D. Z., Sánchez-Panchuelo, R.-M., Wharton, S. J., Hagberg, G. E., Scheffler, K., Francis, S. T., & Bowtell, R. (2014). Functional quantitative susceptibility mapping (fQSM). NeuroImage, 100, 112-124. https://doi.org/10.1016/j.neuroimage.2014.06.011
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 2, 2014 |
Online Publication Date | Jun 16, 2014 |
Publication Date | Oct 15, 2014 |
Deposit Date | Sep 22, 2016 |
Publicly Available Date | Sep 22, 2016 |
Journal | NeuroImage |
Print ISSN | 1053-8119 |
Electronic ISSN | 1095-9572 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 100 |
Pages | 112-124 |
DOI | https://doi.org/10.1016/j.neuroimage.2014.06.011 |
Keywords | fMRI; Functional QSM; MR phase imaging; Susceptibility mapping; Quantitative BOLD; Specific brain activation |
Public URL | https://nottingham-repository.worktribe.com/output/730547 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1053811914004881 |
Additional Information | This article is maintained by: Elsevier; Article Title: Functional quantitative susceptibility mapping (fQSM); Journal Title: NeuroImage; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.neuroimage.2014.06.011; Content Type: article; Copyright: Copyright © 2014 Elsevier Inc. All rights reserved. |
Contract Date | Sep 22, 2016 |
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