Hi Erik, I don't entirely follow what you are doing. It is not 
appropriate to run mri_glmfit-sim on an fdr corrected map. Why not 
analyze your functional data on fsaverage5?


On 11/15/2016 12:59 AM, ERIK JAHNER wrote:
> Dear free surfer experts,
>
>
> I was wondering if someone could give me some general guidance on 
> controlling for multiple comparisons using clustering and FDR. This 
> the situation. I completed an analysis of functional data by first 
> dividing the cortex into parcellations using the icosahedron 5 file 
> then exported the values to matlab. I now have a correlation and 
> significance value for  all 10242 parcelations. My uncorrected results 
> made theoretical sense, topologically. However, I attempted to use an 
> FDR procedure on all these parcellations setting the FDR at .05 and 
> no parcellations remained (all values were above the .05 threshold). 
> Because my parcelationas are likely topologically  correlated with the 
> nearest neighboring clusters, it is my understanding  that it makes 
> more sense to use a clustering method to first identify clusters and 
> then run a correction using FDR as cited in Chumbley, & Friston 2009.
>
>
> To complete clustering prior to FDR, I have projected the significance 
> values from the parcellations back onto the surface vertices and then 
> run the clustering approach described in the group analysis tutorial 
> (mri_glmfit.sim). I have projected these group results onto  the 
> associated vertices on the fsaverage5 surface. However, when I 
> run mri_glmfit.sim, no clusters remain. I believe that I am running 
> into this problem because I am trying to get clusters of vertices when 
> the data was actually analyzed using 10242 ROIs.  Please note, I have 
> placed the correlation and significance values (from my analysis in 
> matlab) in a slope directory under GLM prior to running the analysis 
> on the significance values associated with each vertex.
>
>
> By replacing the significance file generated from a thickness study 
> with the significance file that I created, does freesurfer conduct the 
> same analysis without reference to the type of data; does it only 
> matter that I am using significance values or should I be replacing 
> another file in the directory (I am using a different methodology to 
> obtain my correlation and significance values)? The fsgd file that is 
> in the folder still represents the groups correctly even though the 
> neural data has been changed external to free surfer.
>
>
> Any suggestions or appropriate literature on how to correct for 
> multiple comparisons using clusters of ROIs on surface would be 
> appreciated?
>
>
> Thank you,
>
> Erik Jahner
>
>
>
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