[Eeglablist] interpolation of bad channels after ICA

[Makoto Miyakoshi]

I agree with John.
FYI, check these links.

http://journal.frontiersin.org/article/10.3389/fninf.2015.00016/abstract
http://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline

Also check out clean_rawdata()
http://sccn.ucsd.edu/wiki/Plugin_list_process

Makoto

On Sat, Aug 29, 2015 at 2:03 AM, John Fredy Ochoa Gómez . <
jfochoaster at gmail.com> wrote:

> I also recommend the PREP pipeline that have robust detection and
> interpolation algorithms for the bad channels
>
> On Sat, Aug 22, 2015 at 1:39 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Marco,
>>
>> Remove the channel, run ICA, interpolate the removed channel if
>> necessary. Do not run ICA with the bad channel.
>>
>> > I don't know how to do step 3.
>>
>> EEGLAB has a channel interpolation function which user can do it from GUI.
>>
>> Makoto
>>
>> On Thu, Aug 20, 2015 at 9:33 AM, Marco Buiatti <marco.buiatti at gmail.com>
>> wrote:
>>
>>> Dear EEGLAB Masters,
>>>
>>> I have a question concerning the interpolation of bad channels after ICA.
>>>
>>> When I identify a bad channel, I would like to:
>>> 1) run ICA ignoring that channel,
>>> 2) remove ICs representing artifacts,
>>> 3) and then reinterpolate the channel.
>>>
>>> What's the cleanest way to do that? I know that I can deselect that
>>> channel when I run ICA (by the way, what is plotted at that channel
>>> position when I plot the topography of the ICA components?), but I
>>> don't know how to do step 3.
>>>
>>> Ideally, I would like the interpolated channel to be in the same order
>>> where it was before, so that channel configuration is the same across
>>> subjects.
>>>
>>> I see a button 'Select from removed channels' in Tools > Interpolate
>>> Electrodes which sounds like solving this issue, but I have not been able
>>> to activate it.
>>>
>>> Thanks for your help,
>>>
>>> Marco
>>>
>>>
>>> --
>>> Marco Buiatti
>>>
>>> Neonatal Neurocognition Lab
>>> Center for Mind/Brain Sciences
>>> University of Trento,
>>> Corso Bettini 31, 38068 Rovereto (TN), Italy
>>> E-mail: marco.buiatti at unitn.it
>>> Phone: +39 0464-808178
>>>
>>> ***********************************************
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
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>
>
>
> --
> John Ochoa
> Docente de Bioingeniería
> Universidad de Antioquia
>



-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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