Thanks, Doug.
I'm still a little unclear about how to set up a timeseries regressor (120 timepoints) in the design matrix while also specifying the # of subjects (500). Would the design matrix be a 500x120 or 120x500?
I should mention that my ultimate goal is to find a statistically sig. threshold for a cortical fcMRI map with 500 subjects. Traditional correction for multiple comparisons, like Bonferroni and FDR, are not sufficient. So I'd now like to find a cluster size-based correction threshold using mri_glm-sim. Hence, my desire to create the cortical fcMRI map using mri_glmfit, so I can get the files needed for mri_glm-sim. Is this an okay approach, or is there a better way to do this?
Thank you so much, Eun Young
On Wed, May 4, 2016 at 3:15 PM, Douglas N Greve greve@nmr.mgh.harvard.edu wrote:
We don't usually use mri_glmfit for this kind of thing. If you want to do it this way, then you cannot use an FSGD file. Instead, create a design matrix with the seed time course then pass that to mri_glmfit with the --X option (and no --fsgd option).
On 05/04/2016 10:17 AM, Eun Young Choi wrote:
Hi all,
I'd like to run a resting-state fcMRI analysis within the GLM (mri_glmfit), but I'm not completely sure how to set this up in the FSGD file. I've seen the online tutorial of age vs cortical thickness, but I'm not sure how to specify a regressor with a timeseries. Does anyone have an example of an FSGD file for this?
Thanks! Eun Young
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