External Email - Use Caution
Hi,
I have a statistical question about how to approach reporting results from FreeSurfer analyses containing three groups. I ran a group effect (F-test) and then post-hoc tests looking at pair-wise comparisons between the three groups. My question is why is that we run separate vertex-wise analyses for the post-hocs rather than extracting the values from significant clusters and running post-hocs in a statistical software for just the regions where a significance difference was found (ie the clusters)? As a post-hoc vertex wide analysis can lead to different results.
For example in my group effect contrasts I found a cluster in the parietal lobe. Whereas in my post hoc-vertex wide analyses one of them found two clusters 1) within the parietal 2) within the frontal lobe. If I choose to run these post-hoc analyses via freesurfer (ie vertex-wise) rather than extracting the results to analyze in a statistical program, is it standard to report the second cluster? Even though it didn't come up in the group model? If so is there a paper that people reference that uses this approach?
Thanks, Cody
I don't think there is a standard way to do this. A vertex-wise analysis is not the same thing as a averaging over a group of vertices. I guess you could constrain your post-hoc analysis to be within the main effect cluster; that would be most consistent. But I don't think you'd have any problems getting it published either way.
On 12/2/2019 3:12 PM, cody samth wrote:
External Email - Use Caution
Hi,
I have a statistical question about how to approach reporting results from FreeSurfer analyses containing three groups. I ran a group effect (F-test) and then post-hoc tests looking at pair-wise comparisons between the three groups. My question is why is that we run separate vertex-wise analyses for the post-hocs rather than extracting the values from significant clusters and running post-hocs in a statistical software for just the regions where a significance difference was found (ie the clusters)? As a post-hoc vertex wide analysis can lead to different results.
For example in my group effect contrasts I found a cluster in the parietal lobe. Whereas in my post hoc-vertex wide analyses one of them found two clusters 1) within the parietal 2) within the frontal lobe. If I choose to run these post-hoc analyses via freesurfer (ie vertex-wise) rather than extracting the results to analyze in a statistical program, is it standard to report the second cluster? Even though it didn't come up in the group model? If so is there a paper that people reference that uses this approach?
Thanks, Cody
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edumailto:Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
External Email - Use Caution
Thanks, for your input. It's interesting that there isn't a more standard way of approaching it. If i wanted to constrain my post-hoc to be within the cluster(s) from the main effect how would I go about running this through mri_glmfit? Would I include the --mask sig.cluster.mgh in the command for mri_glmfit and then aslo mri_glmfit-sim?
On Mon, Dec 2, 2019 at 6:40 PM Greve, Douglas N.,Ph.D. < DGREVE@mgh.harvard.edu> wrote:
I don't think there is a standard way to do this. A vertex-wise analysis is not the same thing as a averaging over a group of vertices. I guess you could constrain your post-hoc analysis to be within the main effect cluster; that would be most consistent. But I don't think you'd have any problems getting it published either way.
On 12/2/2019 3:12 PM, cody samth wrote:
External Email - Use CautionHi,
I have a statistical question about how to approach reporting results from FreeSurfer analyses containing three groups. I ran a group effect (F-test) and then post-hoc tests looking at pair-wise comparisons between the three groups. My question is why is that we run separate vertex-wise analyses for the post-hocs rather than extracting the values from significant clusters and running post-hocs in a statistical software for just the regions where a significance difference was found (ie the clusters)? As a post-hoc vertex wide analysis can lead to different results.
For example in my group effect contrasts I found a cluster in the parietal lobe. Whereas in my post hoc-vertex wide analyses one of them found two clusters 1) within the parietal 2) within the frontal lobe. If I choose to run these post-hoc analyses via freesurfer (ie vertex-wise) rather than extracting the results to analyze in a statistical program, is it standard to report the second cluster? Even though it didn't come up in the group model? If so is there a paper that people reference that uses this approach?
Thanks, Cody
Freesurfer mailing listFreesurfer@nmr.mgh.harvard.eduhttps://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
Yes, but threshold it first, eg mri_binarize --abs --i sig.cluster.mgh --min .000001 --o newmask.mgh
On 12/4/19 1:38 PM, cody samth wrote:
External Email - Use Caution
Thanks, for your input. It's interesting that there isn't a more standard way of approaching it. If i wanted to constrain my post-hoc to be within the cluster(s) from the main effect how would I go about running this through mri_glmfit? Would I include the --mask sig.cluster.mgh in the command for mri_glmfit and then aslo mri_glmfit-sim?
On Mon, Dec 2, 2019 at 6:40 PM Greve, Douglas N.,Ph.D. <DGREVE@mgh.harvard.edu mailto:DGREVE@mgh.harvard.edu> wrote:
I don't think there is a standard way to do this. A vertex-wise analysis is not the same thing as a averaging over a group of vertices. I guess you could constrain your post-hoc analysis to be within the main effect cluster; that would be most consistent. But I don't think you'd have any problems getting it published either way. On 12/2/2019 3:12 PM, cody samth wrote:External Email - Use Caution Hi, I have a statistical question about how to approach reporting results from FreeSurfer analyses containing three groups. I ran a group effect (F-test) and then post-hoc tests looking at pair-wise comparisons between the three groups. My question is why is that we run separate vertex-wise analyses for the post-hocs rather than extracting the values from significant clusters and running post-hocs in a statistical software for just the regions where a significance difference was found (ie the clusters)? As a post-hoc vertex wide analysis can lead to different results. For example in my group effect contrasts I found a cluster in the parietal lobe. Whereas in my post hoc-vertex wide analyses one of them found two clusters 1) within the parietal 2) within the frontal lobe. If I choose to run these post-hoc analyses via freesurfer (ie vertex-wise) rather than extracting the results to analyze in a statistical program, is it standard to report the second cluster? Even though it didn't come up in the group model? If so is there a paper that people reference that uses this approach? Thanks, Cody _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto: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
External Email - Use Caution
Thanks for the help!
On Wed, Dec 4, 2019 at 6:47 PM Greve, Douglas N.,Ph.D. < DGREVE@mgh.harvard.edu> wrote:
Yes, but threshold it first, eg mri_binarize --abs --i sig.cluster.mgh --min .000001 --o newmask.mgh
On 12/4/19 1:38 PM, cody samth wrote:
External Email - Use CautionThanks, for your input. It's interesting that there isn't a more standard way of approaching it. If i wanted to constrain my post-hoc to be within the cluster(s) from the main effect how would I go about running this through mri_glmfit? Would I include the --mask sig.cluster.mgh in the command for mri_glmfit and then aslo mri_glmfit-sim?
On Mon, Dec 2, 2019 at 6:40 PM Greve, Douglas N.,Ph.D. <DGREVE@mgh.harvard.edu mailto:DGREVE@mgh.harvard.edu> wrote:
I don't think there is a standard way to do this. A vertex-wise analysis is not the same thing as a averaging over a group of vertices. I guess you could constrain your post-hoc analysis to be within the main effect cluster; that would be most consistent. But I don't think you'd have any problems getting it published eitherway.
On 12/2/2019 3:12 PM, cody samth wrote:External Email - Use Caution Hi, I have a statistical question about how to approach reporting results from FreeSurfer analyses containing three groups. I ran a group effect (F-test) and then post-hoc tests looking at pair-wise comparisons between the three groups. My question is why is that we run separate vertex-wise analyses for the post-hocs rather than extracting the values from significant clusters and running post-hocs in a statistical software for just the regions where a significance difference was found (ie the clusters)? As a post-hoc vertex wide analysis can lead to different results. For example in my group effect contrasts I found a cluster in the parietal lobe. Whereas in my post hoc-vertex wide analyses one of them found two clusters 1) within the parietal 2) within the frontal lobe. If I choose to run these post-hoc analyses via freesurfer (ie vertex-wise) rather than extracting the results to analyze in a statistical program, is it standard to report the second cluster? Even though it didn't come up in the group model? If so is there a paper that people reference that uses thisapproach?
Thanks, Cody _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu>
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto: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@nmr.mgh.harvard.edu