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Chunk #17 — 2 Materials and Methods — 2.5 fMRI Data Preprocessing

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Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task.
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Using FSL (Smith et al., 2004), we performed bias-field correction on all images to adjust for artifacts caused by the EEG wires. We then performed slice-timing correction, motion correction, 0.01-Hz high-pass filtering, and 5-mm full width half max (FWHM) spatial smoothing on the functional data. Motion correction provided motion parameters that were later included as confounds in the general linear model (GLM). Functional and structural images were registered to a standard Montreal Neurological Institute (MNI) brain template following brain extraction, and each subject’s registration was checked manually to ensure proper alignment.