I'm not sure you can. Unless you have multiple samples, you can't compute a variance. If you can't compute a vvariance, then you can't compute a significance. Maybe you can do some kind of bootstrapping
On 9/3/19 1:49 PM, Matthieu Vanhoutte wrote:
External Email - Use CautionSo if I obtained two correlation maps from the same population but based on different input parameters, how could I demonstrate that vertex correlation values are statistically « strongest »/« lowest » in one of the map compared to the other ?
Best, Matthieu
Le 3 sept. 2019 à 17:00, Greve, Douglas N.,Ph.D. DGREVE@mgh.harvard.edu a écrit :
You want to see if the correlation values themselves? You can't do that (unless you have a bunch of correlation maps). You have to incorporate your question/hypothesis into the design and contrast.
On 9/2/2019 11:14 AM, Matthieu VANHOUTTE wrote:
External Email - Use CautionDear experts,
I would like now to determine if there is statistically difference between vertexwise correlation maps (whether one is statistically "stronger" than the other). Would there be a way to do this with Freesurfer? (r-to-z Fisher transformation and statistical method?)
Best regards,
Matthieu
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