Hi FSL experts,
I have three runs per subject acquired at the same session - two resting state and a task, which have the same spatial and temporal resolutions.
I created a mask from a cluster of activation from the task group-level analysis and wanted to transform it from standard to native space for each of the three runs in each subject.
However, for each run in the same subject, I get a slightly different transformed mask with different number of voxels.
In addition, for different subjects I get significantly different masks in terms of voxels number - isn't a specific MNI mask transformation to different native spaces suppose to yield the same native-space mask in terms of voxels number across all subjects?
I have followed the instructions on the web to conduct the invert transformation (with my own paths and file names of course):
invwarp -w highres2standard_warp -o standard2highres_warp -r highres
applywarp -i activationMaskMNI -r example_func -o activationMaskNative -w standard2highres_warp --postmat=highres2example_func.mat
I would very appreciate any insights,
Many thanks,
Tamir
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