Re: [Freesurfer] Compare vertexwise correlation maps
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 Caution > > So 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. 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 Caution >>> >>> Dear 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 >>> >>> ___ >>> Freesurfer mailing list >>> Freesurfer@nmr.mgh.harvard.edu >>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer >> >> ___ >> Freesurfer mailing list >> Freesurfer@nmr.mgh.harvard.edu >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > ___ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Re: [Freesurfer] Compare vertexwise correlation maps
External Email - Use Caution So 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. 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 Caution >> >> Dear 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 >> >> ___ >> Freesurfer mailing list >> Freesurfer@nmr.mgh.harvard.edu >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > ___ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Re: [Freesurfer] Compare vertexwise correlation maps
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 Caution > > Dear 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 > > ___ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer ___ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
