First create a mask of your activation
mri_binarize --i sig.mgh --min 2 --o sig.mask2.mgh
2 here is the threshold in -log10(p) (so 2 mean p<.01)
next
cd session/bold/analysis/contrast
mri_segstats --i pcc.nii.gz --id 1 --seg /path/to/sig.mask2.mgh --sum sum.dat
The mean pcc will be in the "Mean"
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Across all activations since the pcc map was generated by an osgm.
On Friday, November 1, 2019, Greve, Douglas N.,Ph.D.
wrote:
> you mean the average across all activations or clusters of activation?
>
> On 10/31/2019 9:18 PM, Amrita Bedi wrote:
>
>
you mean the average across all activations or clusters of activation?
On 10/31/2019 9:18 PM, Amrita Bedi wrote:
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Mean correlation values to the seed from activations of a pcc.mgh map from each
individual subject.
On Thursday, October 31, 2019, Greve, Dougla
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Mean correlation values to the seed from activations of a pcc.mgh map from
each individual subject.
On Thursday, October 31, 2019, Greve, Douglas N.,Ph.D. <
dgr...@mgh.harvard.edu> wrote:
> mean over what? a parcellation? an activation cluster?
>
> On
mean over what? a parcellation? an activation cluster?
On 10/31/2019 3:15 PM, Amrita Bedi wrote:
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Thank you Dr Greve, that issue is resolved.
I do have another question. I’m now trying to extract mean correlation values
to the seed from each individual subje
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Thank you Dr Greve, that issue is resolved.
I do have another question. I’m now trying to extract mean correlation
values to the seed from each individual subject and not sure how to go
about this.
On Thursday, October 31, 2019, Greve, Douglas N.,Ph.D
