cudaBayesregData (version 0.3-11)

fmri_mask: Example of mask file used in processing the visual-auditory test dataset

Description

The ‘fmri_mask.nii.gz’ dataset defines the mask used in the fMRI analysis for ‘fmri_filtered_data.nii.gz’. The mask used here is an all-brain mask; it just removes non-brain regions, as the result of applying a brain extraction tool to the ‘fmri.nii.gz’ dataset. However, other masks may be defined to select regions of interest (ROIs).

Format

The file ‘fmri_mask.nii.gz’ is in gzipped NIFTI format. The R-package oro.nifti is required by cudaBayesreg to read gunzipped NIFTI files. This file may be obtained from ‘fmri.nii.gz’ by applying FSL/FEAT of FSL/BET pre-processing tools. Similar preparation procedures for fMRI datasets are available in the SPM toolbox (http://www.fil.ion.ucl.ac.uk/spm/).

References

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, http://CRAN.R-project.org/package=oro.nifti.