Datei:FinalReport-Neurobiologie.pdf

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Based on recent research using functional connectivity analyses Fox et al (2005) claimed that the brain is intrinsically organized into anti-correlated networks. The most popular networks are the default mode network (task negative network), which is more active during rest than during task and its anti-correlated network (task positive network). To account for several potential sources of noise, global signal regression is often performed - the time series over all voxels is used as a regressor in a general linear model. That practice is only valid if the global signal and the experimental conditions are uncorrelated. If voxels responding to the experimental task are included in the global regressor, this correction technique will lead to underestimating of true activations and introduction of false deactivations (Andersson, 1997; Strother et al., 1995). By definition the task in resting state data is undefined therefore the exact timing, the spatial extent and the relative phase between global signal and resting state fluctuations can’t be calculated. The topic of the paper is whether global signal regression could be the cause of anti-correlated resting state networks in functional connectivity analyses.

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aktuell22:57, 23. Jul. 2011 (92 KB)Administrator (Diskussion | Beiträge)Based on recent research using functional connectivity analyses Fox et al (2005) claimed that the brain is intrinsically organized into anti-correlated networks. The most popular networks are the default mode network (task negative network), which is more
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