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open-discussion > Randomise in DTI analysis
Sep 23, 2019 12:09 PM | Beatriz Simões
Randomise in DTI analysis
Hello,
I used FSL to conduct DTI statistical analysis. In more detail, I used randomise (FSL function) to perform statistical analysis after using TBSS (tract-based spatial statistics). As output randomise produces corrected and uncorrected p-value images (_tfce-corrp.nii.gz and _tfce_p.nii.gz) using TFCE correction. After this, I extracted the significant effects using the FSL function Cluster.
I would like to extract the correspondent t-value for each one of the effects I found. However, I can't find a way to produce a tfce t-value image using randomise.
Can someone help me with this problem?
Thank you in advance.
Best regards,
Beatriz Simões
I used FSL to conduct DTI statistical analysis. In more detail, I used randomise (FSL function) to perform statistical analysis after using TBSS (tract-based spatial statistics). As output randomise produces corrected and uncorrected p-value images (_tfce-corrp.nii.gz and _tfce_p.nii.gz) using TFCE correction. After this, I extracted the significant effects using the FSL function Cluster.
I would like to extract the correspondent t-value for each one of the effects I found. However, I can't find a way to produce a tfce t-value image using randomise.
Can someone help me with this problem?
Thank you in advance.
Best regards,
Beatriz Simões
Threaded View
| Title | Author | Date |
|---|---|---|
| Beatriz Simões | Sep 23, 2019 | |
| Jens Schwarzbach | Sep 24, 2019 | |
| Beatriz Simões | Sep 24, 2019 | |
| Jens Schwarzbach | Sep 24, 2019 | |
