# Automatically identify independent components	associated with artifact

**URL:** <https://mne.discourse.group/t/automatically-identify-independent-components-associated-with-artifact/2291>\
**Category:** Mailing List Archive (read-only)\
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**Created:** [August 19, 2020, 12:12am UTC](https://mne.discourse.group/t/automatically-identify-independent-components-associated-with-artifact/2291 "2020-08-19T00:12:09Z")\
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**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\
**Post date:** [August 19, 2020, 12:12am UTC](https://mne.discourse.group/t/automatically-identify-independent-components-associated-with-artifact/2291/1 "2020-08-19T00:12:09Z")

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External Email - Use Caution

Hi,

We do hyperscanning research. Our colleague developed this lovely python  
module for analyzing hyperscanning data. You may want to try this  
Hyperscanning module, HyPyP \<[https://github.com/GHFC/HyPyP&gt;\](https://github.com/GHFC/HyPyP&gt;%5C). Or you can see  
the tutorial of using the module particularly on the \*ICA correction  
section\*  
\<[https://github.com/GHFC/HyPyP/blob/master/tutorial/getting\_started.ipynb&gt](https://github.com/GHFC/HyPyP/blob/master/tutorial/getting_started.ipynb&gt);  
and \*AutoReject\* for ICA.

You can use the function there for the automatic rejection of ICA, even  
though your research may not be related to hyperscanning. But you may want  
to use it. Hope that helps.

Cheers,  
IG

> Today's Topics:
> 
> &nbsp;&nbsp;&nbsp;1. Automatically identify independent components associated with  
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;artifact (balandongiv at gmail.com)
> 
> ----------------------------------------------------------------------
> 
> Message: 1  
> Date: Tue, 18 Aug 2020 23:30:00 +0800  
> From: \<balandongiv at gmail.com\>  
> Subject: [Mne\_analysis] Automatically identify independent components  
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;associated with artifact  
> To: \<mne\_analysis at nmr.mgh.harvard.edu\>  
> Message-ID: \<008a01d67574$70aa1860$51fe4920$@gmail.com\>  
> Content-Type: text/plain; charset="us-ascii"
> 
> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;External Email - Use Caution
> 
> Is there any available module/package to automatically identify  
> independent  
> components associated with artifacts in MNE or any module that can be  
> incorporated along with the mne pipeline? For example, in EEGlab, they have  
> the plugin ADJUST that can automate the artifact identification and removal  
> in EEG data.
> 
> Regards
> 
> Rodney
> 
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