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Hello Jessica,

the FDR2 threshold is computed by means of a two-step procedure, and it depends on the actual p-values that one supplies as input to the script.

In a scenario where no p-value survives the initial (step 1) threshold that is computed within the script, a threshold which is lower than the lowest p-value is returned. This can be the same for different values of q. 

In that sense, it seems plausible to me that there is a constant value in your example. I would be surprised, though, if it stays constant for (substantially) higher values of q (although theoretically that's also possible).

Best regards,

Kersten


On Sa, 2019-06-15 at 02:57 +0000, Hua, Jessica wrote:

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Hi FreeSurfer Experts,

I had two questions regarding the longitudinal process.  

1) I am using the linear mixed effects mass-univariate approach to analyze my longitudinal data.  A priori I am interested in the orbitofrontal cortex and the parahippocampal gyrus.  Is there a way in FreeSurfer to mask my longitudinal analyses to these regions specifically?

2) Also is there a way to modify the FDR2? My analyses do not meet the FDR2 (q < .05) p threshold of 4.29, and I wanted to see what threshold it is meeting.  Specifically, I wanted to see if it was meeting q < .1. In the lme_mass_FDR2.m, I tried to change the rate to .1, but i kept getting the same result as when it was .05.

Thank you in advance for your help!

Best,

Jessica Hua


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