Hi,
we want to run a seed-based correlation analysis on resting state data comparing correlations within the resting state network before and after a training intervention. So far, we did preprocessing and also tried out two ways of doing the whole brain correlation with time series data from a posterior cingulate seed on the individual subject level:
1. In the FEAT GUI, we used the time-series data from the seed as variable of interest and added 12 nuisance variables. The results did not yield a file containing correlation values. If we would continue on this path, what would we have to do with the Cope, PE, or other output files next?
2. Using the fsl_sbca script, the resulting sets of files look pretty different from what we get using the GUI. The output file labeled 'corr 1' seems to contain correlation coefficient values with 1 being in the center of the seed and then values degrading away from the center. Intensities in relevant resting state areas are high (e.g., the image is brighter in medial PFC, lateral parietal cortex). So this looks like a valid result, but we don't know how to go from here (do a group analysis) since there is no documentation on your website for the script.
Can you please advice on which way to go and what the next steps would be?
Thanks, Maren
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