Brainstem functional magnetic resonance imaging: disentangling signal from physiological noise

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Brainstem functional magnetic resonance imaging : disentangling signal from physiological noise. / Harvey, Ann K; Pattinson, Kyle T S; Brooks, Jonathan C W; Mayhew, Stephen D; Jenkinson, Mark; Wise, Richard G.

In: Journal of Magnetic Resonance Imaging, Vol. 28, No. 6, 12.2008, p. 1337-44.

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Harvey, Ann K ; Pattinson, Kyle T S ; Brooks, Jonathan C W ; Mayhew, Stephen D ; Jenkinson, Mark ; Wise, Richard G. / Brainstem functional magnetic resonance imaging : disentangling signal from physiological noise. In: Journal of Magnetic Resonance Imaging. 2008 ; Vol. 28, No. 6. pp. 1337-44.

Bibtex

@article{a0d006b3476447da921696d18b95c84d,
title = "Brainstem functional magnetic resonance imaging: disentangling signal from physiological noise",
abstract = "PURPOSE: To estimate the importance of respiratory and cardiac effects on signal variability found in functional magnetic resonance imaging data recorded from the brainstem.MATERIALS AND METHODS: A modified version of the retrospective image correction (RETROICOR) method (Glover et al, [2000] Magn Reson Med 44:162-167) was implemented on resting brainstem echo-planar imaging (EPI) data in 12 subjects. Fourier series were fitted to image data based on cardiac and respiratory recordings (pulseoximetry and respiratory turbine), including multiplicative terms that accounted for interactions between cardiac and respiratory signals. F-tests were performed on residuals produced by regression analysis. Additionally, we evaluated whether modified RETROICOR improved detection of brainstem activation (in 11 subjects) during a finger opposition task.RESULTS: The optimal model, containing three cardiac (C) and four respiratory (R) harmonics, and one multiplicative (X) term, {"}3C4R1X,{"} significantly reduced signal variability without overfitting to noise. The application of modified RETROICOR to activation data increased group Z-statistics and reduced putative false-positive activation.CONCLUSION: In addition to cardiac and respiratory effects, their interaction was also a significant source of physiological noise. The modified RETROICOR model improved detection of brainstem activation and would be usefully applied to any study examining this brain region.",
keywords = "Adult, Artifacts, Brain Stem, Echo-Planar Imaging, Female, Fourier Analysis, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Regression Analysis, Retrospective Studies",
author = "Harvey, {Ann K} and Pattinson, {Kyle T S} and Brooks, {Jonathan C W} and Mayhew, {Stephen D} and Mark Jenkinson and Wise, {Richard G}",
note = "(c) 2008 Wiley-Liss, Inc.",
year = "2008",
month = dec,
doi = "10.1002/jmri.21623",
language = "English",
volume = "28",
pages = "1337--44",
journal = "Journal of Magnetic Resonance Imaging",
issn = "1053-1807",
publisher = "Wiley",
number = "6",

}

RIS

TY - JOUR

T1 - Brainstem functional magnetic resonance imaging

T2 - disentangling signal from physiological noise

AU - Harvey, Ann K

AU - Pattinson, Kyle T S

AU - Brooks, Jonathan C W

AU - Mayhew, Stephen D

AU - Jenkinson, Mark

AU - Wise, Richard G

N1 - (c) 2008 Wiley-Liss, Inc.

PY - 2008/12

Y1 - 2008/12

N2 - PURPOSE: To estimate the importance of respiratory and cardiac effects on signal variability found in functional magnetic resonance imaging data recorded from the brainstem.MATERIALS AND METHODS: A modified version of the retrospective image correction (RETROICOR) method (Glover et al, [2000] Magn Reson Med 44:162-167) was implemented on resting brainstem echo-planar imaging (EPI) data in 12 subjects. Fourier series were fitted to image data based on cardiac and respiratory recordings (pulseoximetry and respiratory turbine), including multiplicative terms that accounted for interactions between cardiac and respiratory signals. F-tests were performed on residuals produced by regression analysis. Additionally, we evaluated whether modified RETROICOR improved detection of brainstem activation (in 11 subjects) during a finger opposition task.RESULTS: The optimal model, containing three cardiac (C) and four respiratory (R) harmonics, and one multiplicative (X) term, "3C4R1X," significantly reduced signal variability without overfitting to noise. The application of modified RETROICOR to activation data increased group Z-statistics and reduced putative false-positive activation.CONCLUSION: In addition to cardiac and respiratory effects, their interaction was also a significant source of physiological noise. The modified RETROICOR model improved detection of brainstem activation and would be usefully applied to any study examining this brain region.

AB - PURPOSE: To estimate the importance of respiratory and cardiac effects on signal variability found in functional magnetic resonance imaging data recorded from the brainstem.MATERIALS AND METHODS: A modified version of the retrospective image correction (RETROICOR) method (Glover et al, [2000] Magn Reson Med 44:162-167) was implemented on resting brainstem echo-planar imaging (EPI) data in 12 subjects. Fourier series were fitted to image data based on cardiac and respiratory recordings (pulseoximetry and respiratory turbine), including multiplicative terms that accounted for interactions between cardiac and respiratory signals. F-tests were performed on residuals produced by regression analysis. Additionally, we evaluated whether modified RETROICOR improved detection of brainstem activation (in 11 subjects) during a finger opposition task.RESULTS: The optimal model, containing three cardiac (C) and four respiratory (R) harmonics, and one multiplicative (X) term, "3C4R1X," significantly reduced signal variability without overfitting to noise. The application of modified RETROICOR to activation data increased group Z-statistics and reduced putative false-positive activation.CONCLUSION: In addition to cardiac and respiratory effects, their interaction was also a significant source of physiological noise. The modified RETROICOR model improved detection of brainstem activation and would be usefully applied to any study examining this brain region.

KW - Adult

KW - Artifacts

KW - Brain Stem

KW - Echo-Planar Imaging

KW - Female

KW - Fourier Analysis

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Magnetic Resonance Imaging

KW - Male

KW - Regression Analysis

KW - Retrospective Studies

U2 - 10.1002/jmri.21623

DO - 10.1002/jmri.21623

M3 - Article

C2 - 19025940

VL - 28

SP - 1337

EP - 1344

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

SN - 1053-1807

IS - 6

ER -