filtered_func_data: Example pre-processed real audio-visual dataset

Description

The dataset fmri.nii (fmri) is from an audio-visual experiment. The filtered_func_data.nii is a dataset obtained from fmri.nii 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/).

Usage

fsl.filtered <- system.file("data/filtered_func_data.nii",
                            package = "cudaBayesreg")
niislicets <- f.read.nifti.slice.at.all.timepoints(
                            file = fsl.filtered, slice = 3)

Arguments

docType

data

format

The file "filtered_func_data.nii" is in ungzipped NIFTI format. The R-package "AnalizeFMRI" is required by "cudaBayesreg" to read gunzipped NIFTI files.

References

S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, H. Johansen-Berg, P.R. Bannister, M. De Luca, I. Drobnjak, D.E. Flitney, R. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J.M. Brady, and P.M. Matthews. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(S1):208-219, 2004

"FSL & FreeSurfer Course", Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford. (www.fmrib.ox.ac.uk/fsl).