2004
DOI: 10.1016/j.neuroimage.2003.12.042
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A method for removal of global effects from fMRI time series

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Cited by 390 publications
(323 citation statements)
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“…Separate regressors were constructed by convolving the box‐car function of each condition with the canonical hemodynamic response function. In addition to task regressors, a nuisance covariate of the whole‐brain mean signal was used to account for the global BOLD signal fluctuations induced by changes in P CO2 [Birn et al, 2006; Macey et al, 2004]. …”
Section: Methodsmentioning
confidence: 99%
“…Separate regressors were constructed by convolving the box‐car function of each condition with the canonical hemodynamic response function. In addition to task regressors, a nuisance covariate of the whole‐brain mean signal was used to account for the global BOLD signal fluctuations induced by changes in P CO2 [Birn et al, 2006; Macey et al, 2004]. …”
Section: Methodsmentioning
confidence: 99%
“…Finally, linear regression of mean global BOLD signal, mean ventricular BOLD signal and mean white matter BOLD signals from each voxel was performed. Even if it is still a debated question, it could be argued that global signal regression (Macey et al 2004) could induce spurious correlations in our analysis [e.g., (Murphy et al 2009)]. However, it has been shown in Honey et al 2009) that global signal regression is an important step to better reveal the correlation between structural and functional connectivities.…”
Section: Bold Acquisitionmentioning
confidence: 99%
“…Instead, a voxel-level linear model of the global signal (LMGS), which has been shown not to introduce bias, was used to remove the global effects (Macey et al, 2004). Group activations were assessed by a random effects analysis.…”
Section: Fmri Analysis-duringmentioning
confidence: 99%