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  Functional quantitative susceptibility mapping (fQSM)

Balla, D., Sanchez-Panchuelo, R., Wharton, S., Hagberg, G., Scheffler, K., Francis, S., et al. (2014). Functional quantitative susceptibility mapping (fQSM). NeuroImage, 100, 112-124. doi:10.1016/j.neuroimage.2014.06.011.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-7FB7-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-276A-D
Genre: Journal Article

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Balla, DZ1, 2, Author              
Sanchez-Panchuelo, RM, Author
Wharton, SJ, Author
Hagberg, Gisela2, 3, Author              
Scheffler, K2, 3, Author              
Francis, ST, Author
Bowtell, R, Author
Affiliations:
1Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
3Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 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 subjectrsquo;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 ldquo;activatedrdquo; 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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 Dates: 2014-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.1016/j.neuroimage.2014.06.011
BibTex Citekey: BallaSWHSFB2014
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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 100 Sequence Number: - Start / End Page: 112 - 124 Identifier: -