[Eeglablist] Demo dataset for DIPFIT?

[Clement Lee]

Hi Curtis,

Sorry for the lack of response from SCCN. Let me address Arno here to see
if he has some idea, since he updated the tutorial page last year. It's
highly likely that the figures on the tutorial page are outdated (uploaded
2009) compared to the (currently missing?) sample .set file.

Thanks,
Clement Lee
Applications Programmer
Swartz Center for Computational Neuroscience
Institute for Neural Computation, UC San Diego
858-822-7535


On Wed, Mar 18, 2020 at 1:34 PM Curtis Bingham <cnbingham at gmail.com> wrote:

> Kaelasha,
> In January we posted that the DIPFIT tutorial is out of sync with the data
> set:
> https://sccn.ucsd.edu/pipermail/eeglablist/2020/015133.html
>
> I have received no responses to multiple inquiries.
>
> I just tried to download the sample data and found the same behavior that
> you have. I might be able to find the original dataset I downloaded if
> nobody else has a better solution.
> Curtis
>
>
>
> On 3/17/20, 6:28 PM, "Kaelasha Tyler" <kaelasha.tyler at gmail.com> wrote:
>
>     Hi all,
>
>     Can anyone give me a link for a demo data set to test run DipFit with?
>
>     There is a link on the A08 Dipfit wiki page, but this just gives an
>     unusable 'unknown.dms' file.
>     I see one other thread on this discussion forum from 2018 with the
> similar
>     issue, but the link provided there for a demo data set also does not
> work
>     for me.
>
>     ____
>
>     I have been using tools>locate dipoles using dipfit, as well as the
>     ft_sourceanalyis
>     script also on the A08 DIPFIT wiki page and have found various
> anatomical
>     regions in my data set that show larger ERPs. But I want to know
>     how spatial accurate these methods are in my case.
>     As it stands, I am not sure how accurate my results are and would like
> to
>     run this same analysis with another data set, for which clear dipole
>     location is already known.
>
>     As always, any help is much appreciated!
>
>     Regards,
>     Kaelasha
>
>
>
>
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