[Eeglablist] Dipfit with custom forward model

[Jun Wang]

Hi Zeynep,
thanks for the kind reply. the SPM output you mentioned is the BEM
headmodel generated in SPM,right? if it is true, could you tell me which
function in NFT to convert the format. right now, I tried loading BEM
forward head model from SPM directly in Dipfit, seems working, but I am not
100% confident whether this is the right way to do that.

thanks
Jun

On Thu, Nov 1, 2012 at 4:51 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>wrote:

> Dear Jun,
>
> Here is a reply from Zeynep Akalin Acar, the developper of NFT toolbox.
> http://sccn.ucsd.edu/wiki/NFT
>
> %%%%%%%%%%%%%
>
> You can download Fieldtrip and use command line functions to call the
> forward problem solvers once the head mesh is generated in Fieldtrip
> vol format. Or, you can use NFT to solve the forward and inverse
> problem after converting the SPM output to NFT segmentation or mesh
> format. If you need help, I can help with format conversions.
>
> %%%%%%%%%%%%%
>
>
> Makoto
>
> 2012/10/30 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>:
> > Dear Zeynep,
> >
> > Could you help us with this question?
> >
> > Makoto
> >
> > 2012/10/25 Jun Wang <teaheart at gmail.com>:
> >> Hi Arnaud,
> >>     I have a question related to Dipfit. Could Dipfit use the
> precomputed
> >> forward head model from SPM.
> >>
> >> many thanks
> >> Jun
> >>
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> >
> >
> > --
> > Makoto Miyakoshi
> > JSPS Postdoctral Fellow for Research Abroad
> > Swartz Center for Computational Neuroscience
> > Institute for Neural Computation, University of California San Diego
>
>
>
> --
> Makoto Miyakoshi
> JSPS Postdoctral Fellow for Research Abroad
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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