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
>
>

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