fmri: Example of real audio-visual dataset
Description
The fmri.nii.gz dataset is included in the FSL & FreeSurfer Course available form the Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford.
The dataset has been used as a demonstration of the FEAT fMRI Analysis tool, provided by the FMRIB Software Library (FSL) (www.fmrib.ox.ac.uk/fsl).
This dataset is from an audio-visual experiment. Auditory stimulation was applied as an alternating "boxcar" with 45s-on-45s-off and visual stimulation was applied as an alternating "boxcar" with 30s-on-30s-off. The TR is 3 seconds.
The dataset includes just 45 timepoints and 5 slices from the original 4D data.
The file "fmri.nii.gz" is provided as reference only, since it is not used directly in cudaBayesreg.
The file actually used in the package is the file "filtered_func_data.nii".
This file may be obtained from "fmri.nii.gz" by applying pre-preprocessing tools, such as pre-filtering and motion correction.
These pre-processing tools are readily available in the FSL/FEAT package.
Similar preparation procedures for fMRI datasets are available in the SPM toolbox (http://www.fil.ion.ucl.ac.uk/spm/).docType
dataformat
The file "fmri.nii.gz" is in gzipped 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).