Hi FSL-team!
This is a repost, as I am still wondering if these are sound thoughts.
I have a question on doing a seed-based resting state analysis, as I am specifically interested in a subpart of the posterior cingulate cortex.
To denoise the data, I ran FIX and checked that all the noisy components are removed.
I now want to do a seed-based analyses on the cleaned data and thought that maybe I could do this via the dual regression script.
I could create my seed on the MNI template and use that for the dual regression. With randomise I could then correlate it with the other voxels of the brain.
Or should I use FEAT instead?
Can I use the dual regression for this?
Thank you very much.
Best wishes
Heidi
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Dr. Heidi Jacobs
Postdoc researcher
Faculty of Health, Medicine and Life Sciences
School for Mental Health and Neurosciences
Division Cognitive Neuropsychiatry and Clinical Neurosciences
Alzheimer Center Limburg
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www.maastrichtuniversity.nl
www.heidijacobs.nl
Dr. Tanslaan 12, 6229 ET Maastricht
P.O. Box 616, 6200 MD Maastricht, The Netherlands
T +31 43 38 84 090 F +31 43 38 84 092
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