Dear Doug, I have Bold fMRI data (6 minutes of acquisition which is equal to 180 volume for every run). The total number for images is 140 (50 controls and 90 patients). I plan to use FSFAST (FS V6.0) to study: 1. The difference between the groups in global functional connectivity 2. Seed-based functional connectivity analysis depending on an ROI for a difference in a voxel-wise analysis between PET images for the same subjects. My questions are: 1. In this data set I have only one run for every subject. I am wondering if FSFAST can analyze fMRI data (one run per subject). 2. FSFAST depends on the recons, meaning it depends on the ROIs in wmparc, aseg and apare+aseg atlases. Can FSFAST accept an external ROI for seed based functional connectivity analysis?
I highly appreciate your advice John
On 5/5/17 5:06 AM, John Anderson wrote:
Dear Doug, I have Bold fMRI data (6 minutes of acquisition which is equal to 180 volume for every run). The total number for images is 140 (50 controls and 90 patients). I plan to use FSFAST (FS V6.0) to study:
- The difference between the groups in global functional connectivity
- Seed-based functional connectivity analysis depending on an ROI
for a difference in a voxel-wise analysis between PET images for the same subjects. My questions are:
- In this data set I have only one run for every subject. I am
wondering if FSFAST can analyze fMRI data (one run per subject).
Yes, no problem
- FSFAST depends on the recons, meaning it depends on the ROIs in
wmparc, aseg and apare+aseg atlases. Can FSFAST accept an external ROI for seed based functional connectivity analysis?
Yes, just create an ROI as a mask in the conformed anatomical space and put the volume in the subject/mri folder. Then when you run fcseed-sess, spec that volume with -seg and specify the ROI code with -segid. Eg, if your volume was myroi.mgz and the value that the roi takes in that volume was 3, then -seg myroi.mgz -segid 3
I highly appreciate your advice John
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