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

[Rab Nawaz]

Scott Makeig,

Thank you very much. If I can get the Python version of ICLabel, tht would
be great. Thank you for sending the email id of Luca Pion-Tonalchini.

Thanks


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

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02/24/22,
01:10:20 PM

On Wed, Feb 23, 2022 at 6:37 PM Scott Makeig <smakeig at gmail.com> wrote:

> Rab -  I would still look at ICLabel -   the application code is  not
> elaborate and could be translated to python fairly easily I imagine.  The
> training code is already in python.  The author is Luca Pion-Tonalchini .
> I'll send you his email.
>
> Scott
>
> On Wed, Feb 23, 2022 at 11:06 AM Rab Nawaz <13mseerabnawaz at seecs.edu.pk>
> wrote:
>
>> 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
>>>
>>
>
> --
> 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
>