Example of a pre-processed visual-auditory test dataset
The dataset ‘fmri.nii.gz’ (fmri) is from an auditory-visual experiment.
The file ‘fmri_filtered_func_data.nii.gz’ is a dataset obtained from ‘fmri.nii.gz’ by applying the usual fMRI pre-processing steps, e.g., brain extraction, motion correction, high-pass filtering, spatial smoothing, intensity normalization, etc. All these pre-processing steps may be applied using some external fMRI software package. The file included in the package was prepared with the FSL/FEAT software tool. Similar preparation procedures for fMRI datasets are available in the SPM toolbox (http://www.fil.ion.ucl.ac.uk/spm/).
The file ‘fmri_filtered_func_data.nii.gz’ is in gzipped NIFTI format. The R-package oro.nifti is required by cudaBayesreg to read NIFTI files.
S.M. Smith et.al.(2004), Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(S1):208-219.
FSL & FreeSurfer Course, Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford. (www.fmrib.ox.ac.uk/fsl).
Brandon Whitcher, Volker Schmid and Andrew Thornton (2011), R package oro.nifti: Rigorous - NIfTI Input / Output, R package version 0.2.5,