Hi
It is for computing sources correlation with symmetrical orthogonalized correlations which is dependent on the rank of the data, so I am limited to the number of sensors I use for estimating sources.
I would appreciate to know if there is any method to get about a 100 cortical vertices in the cortical surface, maybe with the inflated surface generate an equidistant grid.
Thanks Dorothy
On Mon, Apr 10, 2017 at 1:53 PM, dg wakeman dgwakeman@gmail.com wrote:
Hi Dorothy,
That would be extreme under sampling. I don't expect it to be very meaningful.
hth d
On Mon, Apr 10, 2017 at 2:42 PM, Dorothy Sincasto dsincasto@gmail.com wrote:
Hi
I want to do an MEG analysis and first I want to downsample the surface
to
around 100 vertices per hemisphere. I tried the command mris_downsample, but when i plot the surface I see that the vertices go deep into the
white
matter.
Is there an option to extract for example 100 equidistant vertices from a fsaverage? Maybe knowing how the vertices are organized when saved
would
help, so for example, when I load a surface in matlab the vertices are
shown
as a vector, is there a way to know the spatial order?
Thanks Dorothy
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 mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer