2011
DOI: 10.1016/j.neuroimage.2011.04.018
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The impact of physiological noise correction on fMRI at 7 T

Abstract: Cognitive neuroimaging studies typically require fast whole brain image acquisition with maximal sensitivity to small BOLD signal changes. To increase the sensitivity, higher field strengths are often employed, since they provide an increased image signal-to-noise ratio (SNR). However, as image SNR increases, the relative contribution of physiological noise to the total time series noise will be greater compared to that from thermal noise. At 7 T, we studied how the physiological noise contribution can be best… Show more

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Cited by 201 publications
(206 citation statements)
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“…A reduction of the variance by such an amount would be expected to result in significant increases in BOLD sensitivity. Such increases have indeed been demonstrated [21,27], although in those studies, larger voxel sizes than in the current study were used. However, reductions in positive correlations after physiological noise removal have also been reported [16].…”
Section: Discussionsupporting
confidence: 52%
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“…A reduction of the variance by such an amount would be expected to result in significant increases in BOLD sensitivity. Such increases have indeed been demonstrated [21,27], although in those studies, larger voxel sizes than in the current study were used. However, reductions in positive correlations after physiological noise removal have also been reported [16].…”
Section: Discussionsupporting
confidence: 52%
“…The choice of acquisition sequence and the associated parameter settings influences the amount of physiological noise to be expected in the fMRI data [18,21,23,27]. Here, data were acquired at 7T, which is expected to yield larger physiological noise contributions than lower field strengths [20], and while a relatively small voxel size was used, which reduces the relative contribution of physiological signal components [18,21], data were acquired with a 3D-EPI sequence, which is more sensitive to physiological noise than its 2D counterpart [23,27]. The choice for the use of the 3D-EPI sequence was motivated by the possibility to acquire even higher spatial resolution data; a constant goal for ultra-high field fMRI.…”
Section: Discussionmentioning
confidence: 99%
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“…The design matrices of all GLMs included regressors for motion, a high‐pass filter (cutoff period 128 s), and the stimulation blocks convolved by the canonical hemodynamic response function. A set of 14 physiological regressors, generated using an in‐house developed Matlab toolbox (Hutton et al, 2011), were based on cardiac and respiratory traces recorded on Spike2 (Cambridge Electronic Design Limited, Cambridge, UK) with a respiration belt and pulse oximeter. Twelve regressors, based on a set of sine and cosine Fourier series components extending to the third harmonic, were built to model the cardiac and respiratory phase (Glover, Li, & Ress, 2000; Josephs, Howseman, Friston, & Turner, 1997).…”
Section: Methodsmentioning
confidence: 99%