Hi All,
I have a very small set of patients and I would like to compare the volumes of subcortical structures and thickness across the cortex to those of a large normative set. I don't need all the underlying data, just means and standard deviations. Is such a set of measures available?
Thanks, Souheil
Hi
I use this script to extract mean cortical thickness. The script is available under GNU GPL3.
Knut J Bjuland
From: souheil.inati@nih.gov To: freesurfer@nmr.mgh.harvard.edu Date: Mon, 16 Jan 2012 23:04:09 -0500 Subject: [Freesurfer] Newbie question: mean/stddev for volumes and thicknesses in an atlas
Hi All,
I have a very small set of patients and I would like to compare the volumes of subcortical structures and thickness across the cortex to those of a large normative set. I don't need all the underlying data, just means and standard deviations. Is such a set of measures available?
Thanks, Souheil _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
Hi Souheil,
the problem is that you'll really want to match acquisition parameters as well as several demographics (e.g. age, gender, etc, SES, ...). If you just want to get some feeling you could try looking at the Oasis dataset, for which we have segmentations, or you could post your sequence parameters so we could at least try to see if there are any datasets around that match it more or less.
cheers Bruce
On Mon, 16 Jan 2012, Inati, Souheil (NIH/NIMH) [E] wrote:
Hi All,
I have a very small set of patients and I would like to compare the volumes of subcortical structures and thickness across the cortex to those of a large normative set. I don't need all the underlying data, just means and standard deviations. Is such a set of measures available?
Thanks, Souheil _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Hi Bruce,
I had a feeling you were going to say that I needed to be careful about scanners and sequence parameters :-)
The Oasis dataset looks like just what I would need to get a sense of things, as you said. What should I do to get the segmentations?
Cheers, Souheil
On Jan 17, 2012, at 8:49 AM, Bruce Fischl wrote:
Hi Souheil,
the problem is that you'll really want to match acquisition parameters as well as several demographics (e.g. age, gender, etc, SES, ...). If you just want to get some feeling you could try looking at the Oasis dataset, for which we have segmentations, or you could post your sequence parameters so we could at least try to see if there are any datasets around that match it more or less.
cheers Bruce
On Mon, 16 Jan 2012, Inati, Souheil (NIH/NIMH) [E] wrote:
Hi All,
I have a very small set of patients and I would like to compare the volumes of subcortical structures and thickness across the cortex to those of a large normative set. I don't need all the underlying data, just means and standard deviations. Is such a set of measures available?
Thanks, Souheil _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
freesurfer@nmr.mgh.harvard.edu