Freesurfer BOLD files: Difference between revisions
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help load_untouched_nii | help load_untouched_nii | ||
help set_TR | help set_TR | ||
If either of these commands return a command not found type of message, ask for help in getting them permanently in your path. It could be simple matter of running a startup script (e.g., <code>startup_spm8</code>. | If either of these commands return a command not found type of message, ask for help in getting them permanently in your path. It could be simple matter of running a startup script (e.g., <code>startup_spm8</code>). | ||
Assuming that these files are in your path, the next step is to use MATLAB to navigate to the directory containing your participant data. For example, working with a data set on ubfs: | Assuming that these files are in your path, the next step is to use MATLAB to navigate to the directory containing your participant data. For example, working with a data set on ubfs: |
Revision as of 15:53, 26 April 2016
Freesurfer, like SPM, can perform functional analyses on fMRI data. These analyses generally employ the general linear model (GLM) to assess the degree to which the blood-oxygen dependent (BOLD) signal correlates with different predictors (e.g., group, experimental condition, task or even nuisance regressors such as motion).
For Freesurfer and SPM, these files will start off as NIfTI (.nii) files. Each file contains a header, which contains important information directing the software how to interpret the data, and one or more 3D matrices of raw data, representing the signal at each voxel at a particular point in time, as measured by the scanner during the experiment. The data for a single run (e.g., a 5-minute scan of an experimental task) can be stored as a series of individual 3D volume files, with each file representing a single scan of the brain like a single frame of a 5-minute movie. Alternately, multiple volumes can be concatenated together and stored in a single 4D file. Whereas SPM operates on either 3D or 4D data, Freesurfer seems to require 4D data.
The header information is important because it provides the context required to interpret the data matrix. For example, an experiment looking at hippocampal processing might use a 32 x 32 x 24 array of 1mm voxels and look at a relatively small subcortical volume. Another experiment looking at global cortical processing might use a 32 x 32 x 24 array of 3mm voxels to look at the entire brain volume. Without knowing the voxel size, it would be impossible for any piece of software to interpret the data matrix. The NIfTI header includes information about how big the voxels are, the orientation, and many other important bits of information, though not all software makes use of all the header information.
Freesurfer expects the BOLD data to be organized into individual folders for each experimental run, and that each file is called "f.nii". Moreover, Freesurfer (but not SPM) appears to make use of the TR value stored in the NIfTI header. In order to ensure that the filename requirement is met and that the TR value is correctly set, a script called set_TR.m
can be found in the ubfs Scripts/Matlab folder.
Running set_TR.m
The first requirement is that the source files for a participant be organized into numbered folders, ideally in a directory called "bold":
- participant_id
- bold
- 001
- 4D.nii
- 002
- 4D.nii
- 003
- 4D.nii
- 001
- bold
After this is done, you can use the MATLAB set_TR.m function to simultaneously rename the source files and set the TR to the correct value (you will, of course, have to know what the correct TR value is!). It is very likely that the source data has the TR header field set to a default value like 1.0, corresponding to a 1-second TR.
set_TR.m can be found in the ubfs Scripts/Matlab folder. Ensure that this file can be found somewhere in your MATLAB path (e.g., copy it to your Documents/MATLAB folder)
First, open a terminal and start matlab:
matlab &
In the MATLAB console, ensure that set_TR and other needed functions are indeed in your path:
help load_untouched_nii help set_TR
If either of these commands return a command not found type of message, ask for help in getting them permanently in your path. It could be simple matter of running a startup script (e.g., startup_spm8
).
Assuming that these files are in your path, the next step is to use MATLAB to navigate to the directory containing your participant data. For example, working with a data set on ubfs:
cd ~/ubfs/cpmcnorg/openfmri/test/1001
Now you are in the directory for participant 1001. There should be a bold subdirectory with one or more numbered directories below it, as described above. Move into the bold directory:
cd bold
Now you can run the set_TR command:
set_TR(2.5, [1 2 5 6], '4D.nii')
The above command would look for a file called '4D.nii' in directories 001, 002, 005 and 006, modify the NIfTI header file information to have a TR of 2.5 seconds, and then save the changed files to 'f.nii', leaving the originals untouched.