External Email - Use Caution On other thought: You may want to do Doug's suggestion of calculating the paired-diff in the longitudinal stream's subject-specific unbiased template space of each participant instead of doing it all in fsaverage. Then take the resultant file, the symmetrized percent change, or pc1, etc. from the subject-specific template space to fsaverage for your group statistics.
On Wed, Sep 21, 2022 at 12:39 PM Gomar, Jesus <jgo...@northwell.edu> wrote: > External Email - Use Caution > > Thank you Doug, I will follow your suggestion. > > > > > > *From:* freesurfer-boun...@nmr.mgh.harvard.edu [mailto: > freesurfer-boun...@nmr.mgh.harvard.edu] *On Behalf Of *Douglas N. Greve > *Sent:* Wednesday, September 21, 2022 9:58 AM > *To:* freesurfer@nmr.mgh.harvard.edu > *Subject:* [EXTERNAL] Re: [Freesurfer] Longitudinal PET analysis > > > > *External Email. Do not click links or open attachments unless you trust > the sender and content. Report suspicious emails using Report Phishing > button or forward email to ph...@northwell.edu <ph...@northwell.edu>* > > You may be able to use one of the paired diff options in mris_preproc. Run > it with --help. I also put some info on it below. QDEC has been deprecated > > > > --paired-diff > > After concatenating all the inputs together, create a new output file by > computing paired differences, ie, Input1-Input2, Input3-Input4, etc. > There must be an even number of inputs. The inputs are "pruned" before > taking the difference, meaning that values for all inputs are set to 0 > if any individual is 0. > > --paired-diff-norm > > Same as --paired-diff, but normalizes by average of time points, ie, > (Input1-Input2)/((Input1+Input2)/2). > > --paired-diff-norm1 > > Same as --paired-diff, but normalizes by time point 1, ie, > (Input1-Input2)/Input1. > > --paired-diff-norm2 > > Same as --paired-diff, but normalizes by time point 2, ie, > (Input1-Input2)/Input2. > > > On 9/20/2022 3:31 PM, Gomar, Jesus wrote: > > * External Email - Use Caution * > > Hello Freesurfer developers, > > > > I am interested in analyzing PET data following a longitudinal design. > > I have co-registered each PET image to the closest MRI in time processed > through the longitudinal stream. > > I have sampled each co-registered PET image time-point onto fsaverage > surface via the individual's subject surface (mri_vol2surf). > > From this point: > > 1. Is it possible to obtain spc (symmetrized percent change) using > long_mris_slopes for each subject? > > 2. Is there a way to input the sampled surfaces into a qdec file > for long_mris_slopes command? > > > > 1) FreeSurfer version: freesurfer-linux-centos6_x86_64-7.2.0. > > 2) Platform: Ubuntu 18,04.6 LTS > > 3) uname -a: Linux ubuntu 5.4.0-122-generic-Ubuntu UTC 2022 x86_64 x86_64 > x86_64 GNU/Linux > > > > > > Thank you! > > > > Jesus > > The information contained in this electronic e-mail transmission and any > attachments are intended only for the use of the individual or entity to > whom or to which it is addressed, and may contain information that is > privileged, confidential and exempt from disclosure under applicable law. > If the reader of this communication is not the intended recipient, or the > employee or agent responsible for delivering this communication to the > intended recipient, you are hereby notified that any dissemination, > distribution, copying or disclosure of this communication and any > attachment is strictly prohibited. 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