[FieldTrip] Events in databrowser

Max Cantor Max.Cantor at Colorado.EDU
Thu Mar 17 21:20:12 CET 2016


Ya, in the past I used an equidistant cap so it was never an issue to
interpolate so long as multiple neighboring channels did not all need to be
interpolated. Otherwise I don't see a way around it besides using a
different method such as spline.

On Thursday, March 17, 2016, Irene Sophia Mayer <mi_mayer at gmx.de> wrote:

> My problem now is that I have the neighbours structure, including the
> neighbours for 'Fp1', in the form of just a list stating the neighbours.
> Still, it says that there are no neighbours. I will try to use a different
> method than 'average' or 'nearest' but I'm not completely happy with
> that...
>
> *Gesendet:* Mittwoch, 16. März 2016 um 20:31 Uhr
> *Von:* "Max Cantor" <Max.Cantor at Colorado.EDU>
> *An:* "FieldTrip discussion list" <fieldtrip at science.ru.nl
> <javascript:_e(%7B%7D,'cvml','fieldtrip at science.ru.nl');>>
> *Betreff:* Re: [FieldTrip] Events in databrowser
> Coincidentally, I just had to remove FP1 from one of my datasets, failed
> to check my neighbours structure ahead of time despite this conversation,
> and can confirm that FP1 could not be interpolated for me as well.
>
> On Wed, Mar 16, 2016 at 12:40 PM, Max Cantor <Max.Cantor at colorado.edu>
> wrote:
>>
>> I currently use a neuroscan64 system, with the quickcap64 layout. Just
>> looking at the layout, it seems like FP1 could be interpolated from FPZ and
>> AF3, but I'd have to test (or look at my neighbours structure) to see if
>> this would be the case. Anyway, depending on your setup, it may be the case
>> that FP1 does not have any designated neighbours to interpolate from. You
>> may need to try a different method than average or nearest.
>>
>> On Wed, Mar 16, 2016 at 12:00 PM, Irene Sophia Mayer <mi_mayer at gmx.de>
>> wrote:
>>
>>> Dear fieldtrippers,
>>>
>>> I have excluded noisy channels from my data using
>>>
>>> data = ft_rejectvisual(cfg, data);
>>> data = ft_rejectartifact(cfg, data);
>>>
>>> and now want to interpolate them. To do so, I am first defining the
>>> neighbours using a zebris file:
>>>
>>> cfg                         = [];
>>> cfg.method                  = 'template';
>>> cfg.layout                  = 'EEG1010.lay';
>>> cfg.feedback                = 'yes';
>>> cfg.elec                    = ft_read_sens('Maque.sfp');
>>> neighbours = ft_prepare_neighbours(cfg,data_con);
>>>
>>> With data_con being the data that still has all the channels in it. This
>>> gives me the variable neighbours that does indeed contain the 6 neighbours
>>> for my missing channel. However, when I try to use
>>>
>>> cfg.method                  = 'average';
>>> cfg.missingchannel          = {'Fp1', 'Fp2', 'AF7', 'AF8'};
>>> cfg.neighbours              = neighbours;
>>> data = ft_channelrepair(cfg,data);
>>>
>>> I get the following message for each and every trial: trying to
>>> reconstruct missing channel Fp1 - cannot reconstruct channel - no
>>> neighbours in the original data or in the sensor position.
>>>
>>> Does anyone have an idea why this is not working properly?
>>>
>>> Cheers,
>>> Irene
>>> _______________________________________________
>>> fieldtrip mailing list
>>> fieldtrip at donders.ru.nl
>>> http://mailman.science.ru.nl/mailman/listinfo/fieldtrip
>>
>>
>>
>> --
>> Max Cantor
>> Graduate Student
>> Cognitive Neuroscience of Language Lab
>> University of Colorado Boulder
>>
>
>
> --
> Max Cantor
> Graduate Student
> Cognitive Neuroscience of Language Lab
> University of Colorado Boulder
> _______________________________________________ fieldtrip mailing list
> fieldtrip at donders.ru.nl
> <javascript:_e(%7B%7D,'cvml','fieldtrip at donders.ru.nl');>
> http://mailman.science.ru.nl/mailman/listinfo/fieldtrip
>


-- 
Max Cantor
Graduate Student
Cognitive Neuroscience of Language Lab
University of Colorado Boulder
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