[Eeglablist] Choosing right head model in Dipfit with BrainProducts Cap

Maya Pinacle mayapinacle at gmail.com
Wed Aug 17 13:01:48 PDT 2016


Dear Tarik and Makoto,


thank you very much for your very valuable comments. They have been very
helpful. After a long investigation that I have done I found out that the
Matlab version that I am using 2014a is causing a lot of trouble to use
many EEGLAB features even though I use latest version of the toolbox and
plugins of it. So I managed to locate dipoles using Matlab 2013a with the
latest version of the EEGLAB. I also use both (Matlab 2013a and latest
EEGLAB) for pop_clustedit() function because many features doesn't work
with Matlab 2014a as well.


Thank you very much for the help again.

Maya

2016-08-05 17:53 GMT+01:00 Makoto Miyakoshi <mmiyakoshi at ucsd.edu>:

> Dear Maya,
>
> It seems the dipoles were fitted only by 'coarse fit' and not with 'fine
> fit'. That's why you see the apparent grid structure there. Make sure you
> performed 'autofit' because it does both coarse and fine fit. If you are
> sure you did 'autofit', then it failed for some reason. If that's the case,
> check the error/warning message and tell me what it says.
>
> Makoto
>
> On Wed, Jul 27, 2016 at 3:50 PM, Maya Pinacle <mayapinacle at gmail.com>
> wrote:
>
>> Hi all,
>>
>> I collected my data with 32 channel BrainProducts cap, and would like to
>> locate dipoles via Dipfit. I tried to use manual Co-registration option
>> choosing BEM MNI as head model however unfortunately it is not working well
>> and it is very difficult to align the electrode template with my own
>> electrode locations.
>>
>> However tutorial says that if the electrode locations within the
>> Internaitional 10-20 system best way is to use standard channel coordinates
>> associated with the head model. So as I know BrainProducts caps are in
>> 10-20 systems so I used this option with recomended settings, choosing
>> Boundary Element Mode (MNI) as Head model with No Coregistration to be
>> chosen.
>>
>>
>>  The tutorial also says to go to channel locations from edit option of
>> EEGLAB and look up for the channel locations. In which case I choose ''use
>> MNI coordinate file for BEM dipfit model'' option. In each condition
>> (Coarse  fine or auto fit ) the coordinates of the dipoles seems sort of
>> overlapping rather than spreaded all over the brain. And when I create
>> STUDY from different subjects file and cluster the component dipoles they
>> lined up in a very straight coordinates (I have added 4 pictures.)
>>
>> When I compare visually a component and a dipole that represents it, it
>> seems that estimation of the dipole location is pretty good with those
>> selection of options as it was described in the tutorial. However, this
>> very well organised appearance of the dipoles in a cluster made me think
>> that whether something wrong with it. Because it seems like rather than
>> finding actual source, the dipoles try to locate around the channels and I
>> wonder whether the result is kind of misleading. So I wonder is there
>> anyone would like to comment on that? I can also share the data in the case
>> you would like to see.
>>
>> So from one data the clusters and dipole locations can be found here.
>>
>> Cluster 1 - 33 dipoles - Sagital
>> https://www.dropbox.com/s/rf77qcznrk7bvia/cluster1_sagital.png?dl=0
>>
>> Cluster 1 - 33 dipole - Top
>>
>> https://www.dropbox.com/s/9l2p7l7kmlsz7r0/cluster1_top.png?dl=0
>>
>> Cluster 2 - 62 dipole Sagital
>>
>> https://www.dropbox.com/s/cphtiemq05xeacu/cluster2_sagital.png?dl=0
>>
>>
>> Thank you
>>
>> Maya
>>
>> Cluser 2 - 62 dipole Top
>> https://www.dropbox.com/s/64ofdpixqo6bw4k/cluster2_top.png?dl=0
>>
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>
>
>
> --
> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
>
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