Preprocessing fMRI data under correct Rice conditions


Functional Magnetic Resonance Imaging (fMRI) data consist of relatively weak signals with a complicated noise structure. To reduce the effects of noise arising from both instrumental and physiological sources, a series of standard preprocessing steps is performed. Nevertheless, fMRI signals will show an undesired offset due to the measurement setup. Prior… (More)
DOI: 10.1109/MeMeA.2013.6549740


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