Removal of confounding effects of global signal in functional MRI analyses

Abstract

Local signals obtained from BOLD fMRI are generally confounded by global effects. In this paper, we make an essential distinction between global effects and the global signal. Global effects have a similar influence on local signals from a large proportion of cerebral voxels. They may reflect diffuse physiological processes or variations in scanner sensitivity and are difficult to measure directly. Global effects are often estimated from the global signal, which is the spatial average of local signals from all cerebral voxels. If the global signal is strongly correlated with experimental manipulations, meaningfully different results may be obtained whether or not global effects are modeled (G. K. Aguirre et al., 1998, NeuroImage, 8, 302-306). In particular, if local BOLD signals make a significant contribution to the global signal, analyses using ANCOVAor proportional scaling models may yield artifactual deactivations. In this paper, we present a modification to the proportional scaling model that accounts for the contribution of local BOLD signals to the global signal. An event-related oddball stimulus paradigm and a block design working memory task were used to illustrate the efficacy of our model.