Dear FSL users,
I'm processing functional images with both FSL and SPM software. I got some weird results with SPM (activations on areas not expected) and I would like to confirm with FSL if it is not problem of the preprocessing steps made in SPM. The settings for the experiment were TR of 3 sec, 105 scans, 5 scans discarded, 30 sec off 30 sec on, different motor and languages tasks examinated in independent cycles.The steps in SPM were:
- Reorient the images according to the AC
- Realign the functional data
- Coregister the structural with the mean functional data as a reference
- Segmentation of the structural image
- normalise the realigned and the bias corrected data
- smoothing the normalise, realign functional data
The steps in FSL FEAT were:
- Using BET in the structural Data for brain extraction
- In data tab choosing the functional data, using a high pass filter of 90 (calculated with cut off calc) and delete 5 scans
- Pre stats all defaults, bet extraction on, FWHM of 6
- stats tab I use the model setup wizard with rArA with r of 30 seg and A of 30 seg
- Post stat I left defaults
- registration tab I used the result from Bet extraction in the main structural image
The results are very different from both programs, I attached in the next post the SPM image for a motor task of tapping both hands, which is correct in SPM. (I can not attached the image from FSL because of the size)
Am I miss something to set in order to get similar results??
Thanks in advance,
Best regards,
Carolina
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