In brief: CSPM creates a subfolder "significant_cope" with results files.
Example: V:\LinuxShare\FSL_FIRST\ID111N1045G2\L_Hipp\MNI\TIVagesex\vox\significant_cope
The "cope_tstat..." files are the effect sizes in regions of significant change, in units of voxel size (so 1 mm voxel size means the values are in mm). Bi-directional changes (F-test) are in "cope_tstat1_p05", and "_dec" and "_inc" are decreasing and increasing values separated out, if you want to play both blobs on one surface. The corrp are corrected p value files.
Quick look
Open a p-value file in mricron, and look at the histogram (Ctrl^H); this will quickly show you whether there are significant p values. Remember that FSL saves these as 1-p value, so p = 0.05 will be recorded as 0.95 in the file.
For multiple t or F contrasts, you will need to know what "tstat1, tsta2, tstat3,...etc means; you can open the text design files to verify.
Opening the mask file in a separate, yoked mricron will allow you to ensure you have the cursor on a surface voxel.
The mask file is in the structure/analysis type folder (MNI, native).
Example: V:\LinuxShare\FSL_FIRST\ID111N1045G2\L_Hipp\MNI\TIVagesex\L_Hipp_vertexMNI_mask.nii (GZ file)
Look at values
Look at the min, max, range using the iamge info tool. This information will be useful for putting in ranges for mricros.
Select the effect size map for significant voxels (example below), and you will see the effect size range (max = 0.55 in example below), and how many significant voxels there are (look for non-zero voxels, so 125 in the example below).
Sorting out the files
The output of randomise are statistic, p value, and corrected p value files, for each contrast. The contrasts to which statistics files correspond are indicated by numbers, e.g., *_tstat1 (or _fstat1), *_tstat2, *_tstat3, and so on. For a two-group design matrix, you will typically have four contrasts; these are listed in the *.con text file created when you create the design matrix with the Glm GUI. Below is an example:
