Right, I meant flatten the matrix into a vector/vertex, do the cross-subject mapping, then reshape it back to a matrix
-----Original Message----- From: Greve, Douglas N.,Ph.D. <dgr...@mgh.harvard.edu> Sent: Wednesday, April 27, 2022 12:24 PM To: Fischl, Bruce <bfis...@mgh.harvard.edu>; freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] Resampling of surface-based bivariate data You'd have do both the rows and the cols. On 4/27/2022 11:44 AM, Fischl, Bruce wrote: > Why not just flatten it and save it as a .mgz? Then I think it should be > straightforward > > -----Original Message----- > From: Greve, Douglas N.,Ph.D. <dgr...@mgh.harvard.edu> > Sent: Wednesday, April 27, 2022 10:42 AM > To: freesurfer@nmr.mgh.harvard.edu; Fischl, Bruce <bfis...@mgh.harvard.edu> > Subject: Re: [Freesurfer] Resampling of surface-based bivariate data > > No, there is not (at least that I know of). Bruce might have something along > these lines. > > On 4/26/2022 3:32 PM, Burke Rosen wrote: >> External Email - Use Caution >> >> Is there a way to resample a vertex-by-vertex matrix of data from one >> subject to another or to ico? For example, I have calculated the Euclidean >> distance matrix for all the vertices of lh.white for my subjects and wish to >> find the average distance matrix. Another example might be functional >> connectivity values. >> >> If the data were univariate (i.e. vectors not matrices), I could save my >> measure as a .w file for each subject and use mri_surf2surf to morph each >> vector to ico and then average across the resulting ico vectors. One idea is >> to use make_average_subject to morph each subject’s surface to ico and then >> calculate bivariate measures on these surfaces. This might be ok for the >> functional connectivity case. However, this morphing distorts the absolute >> size of the surface, so the Euclidean distance matrix would be untenably >> distorted. >> >> In other words, is there an extension of mri_surf2surf (or maybe >> mris_convert) that operates on v(i,j) measures rather than v(i) measures? >> >> Thank you, >> >> -Burke >> >> >> >> _______________________________________________ >> 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 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 Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.
