[Eeglablist] Automatic ICs rejection from the EEG data in MNE Python

[Rab Nawaz]

Scott Makeig, thanks for the prompt reply. Actually the major goal of the
project is creating a user interface for clinical purposes and the
development of the GUI is based in Python. Therefore we are trying to
incorporate all the modules in the same coding environment Python from the
beginning.

*Rab Nawaz,* B.Engg., Ph.D.
Postdoctoral research associate


On Wed, Feb 23, 2022 at 3:57 PM Scott Makeig <smakeig at gmail.com> wrote:

> Rab -
>
> Why not try running open source EEGLAB/Matlab tools on open source
> Octave?  Arno has worked to insure this is possible ...  I would recommend
> you try Luca Pion-Tonacdhini's ICLabel.
>
> Scott Makeig
>
> On Wed, Feb 23, 2022 at 10:55 AM Rab Nawaz via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
>
>> Hi EEGLABers,
>>
>>
>>
>> As in the EEGLAB we know there are multiple ICA classification methods
>> available as a plugins (MARA (Winkler et al., 2011), ADJUST (Mognon et
>> al.,
>> 2011), SASICA, IC-MARC) for some near-automatic methods for removing
>> unhealthy ICs to clean the data from artifacts.
>>
>>
>>
>> I am restricted to use an open-source tool therefore I choose Python. I am
>> trying to perform data cleaning based on the ICA in MNE Python and looking
>> for something automatic that helps in automatic ICs rejection. In MNE
>> Python, there is a template matching method that uses the artifacted ICs
>> from one person as ground and correlates it with the ICs of new EEG to
>> pick
>> the ICs which have strong correlation with the artifacted one. But, I am
>> looking for something similar to the implementation of MARA or ADJUST in
>> MNE Python. Do you know any materials that can help me in this regard? Or
>> something else (other than template matching) that can help in selecting
>> the artifacted ICs automatically in Python?
>>
>>
>>
>> Thanks
>>
>> Rab
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>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>