Analysis and correction of field fluctuations in fMRI data using field monitoring

Bollmann, Saskia, Kasper, Lars, Vannesjo, S. Johanna, Diaconescu, Andreea O., Dietrich, Benjamin E., Gross, Simon, Stephan, Klaas E. and Pruessmann, Klaas P. (2017) Analysis and correction of field fluctuations in fMRI data using field monitoring. Neuroimage, 154 92-105. doi:10.1016/j.neuroimage.2017.01.014


Author Bollmann, Saskia
Kasper, Lars
Vannesjo, S. Johanna
Diaconescu, Andreea O.
Dietrich, Benjamin E.
Gross, Simon
Stephan, Klaas E.
Pruessmann, Klaas P.
Title Analysis and correction of field fluctuations in fMRI data using field monitoring
Journal name Neuroimage   Check publisher's open access policy
ISSN 1095-9572
1053-8119
Publication date 2017-07-01
Year available 2017
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2017.01.014
Open Access Status Not yet assessed
Volume 154
Start page 92
End page 105
Total pages 14
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 2808 Neurology
2805 Cognitive Neuroscience
Abstract This work investigates the role of magnetic field fluctuations as a confound in fMRI. In standard fMRI experiments with single-shot EPI acquisition at 3 Tesla the uniform and gradient components of the magnetic field were recorded with NMR field sensors. By principal component analysis it is found that differences of field evolution between the EPI readouts are explainable by few components relating to slow and within-shot field dynamics of hardware and physiological origin. The impact of fluctuating field components is studied by selective data correction and assessment of its influence on image fluctuation and SFNR. Physiological field fluctuations, attributed to breathing, were found to be small relative to those of hardware origin. The dominant confounds were hardware-related and attributable to magnet drift and thermal changes. In raw image time series, field fluctuation caused significant SFNR loss, reflected by a 67% gain upon correction. Large part of this correction can be accomplished by traditional image realignment, which addresses slow and spatially uniform field changes. With realignment, explicit field correction increased the SFNR on the order of 6%. In conclusion, field fluctuations are a relevant confound in fMRI and can be addressed effectively by retrospective data correction. Based on the physics involved it is anticipated that the advantage of full field correction increases with field strength, with non-Cartesian readouts, and upon phase-sensitive BOLD analysis.
Formatted abstract
This work investigates the role of magnetic field fluctuations as a confound in fMRI. In standard fMRI experiments with single-shot EPI acquisition at 3 Tesla the uniform and gradient components of the magnetic field were recorded with NMR field sensors. By principal component analysis it is found that differences of field evolution between the EPI readouts are explainable by few components relating to slow and within-shot field dynamics of hardware and physiological origin. The impact of fluctuating field components is studied by selective data correction and assessment of its influence on image fluctuation and SFNR.

Physiological field fluctuations, attributed to breathing, were found to be small relative to those of hardware origin. The dominant confounds were hardware-related and attributable to magnet drift and thermal changes. In raw image time series, field fluctuation caused significant SFNR loss, reflected by a 67% gain upon correction. Large part of this correction can be accomplished by traditional image realignment, which addresses slow and spatially uniform field changes. With realignment, explicit field correction increased the SFNR on the order of 6%.

In conclusion, field fluctuations are a relevant confound in fMRI and can be addressed effectively by retrospective data correction. Based on the physics involved it is anticipated that the advantage of full field correction increases with field strength, with non-Cartesian readouts, and upon phase-sensitive BOLD analysis.
Keyword fMRI
Echo-planar imaging
Field fluctuations
Physiological noise
SFNR
Magnetic field monitoring
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Brain Institute Publications
Centre for Advanced Imaging Publications
 
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