[Mne_analysis] Automatic Component Artefact Removal with EEG

[Denis-Alexander Engemann]

Hi Ben,

we can open a PR for ADJUST too. You could then try. I personally have not
compared ADJUST or FASTER to the more MEG-driven temporal ways of dealing
with that we show in our examples. Maybe Jona can say something.

Cheers,
Denis

On Wed, Oct 12, 2016 at 4:11 PM Mainak Jas <mainakjas at gmail.com> wrote:

> Hi Ben,
>
> For Python implementation of FASTER, take a look here:
> https://github.com/mne-tools/mne-sandbox/pull/12
>
> Mainak
>
>
> On Wed, Oct 12, 2016 at 5:02 PM, Ben McCartney <bmccartney06 at qub.ac.uk>
> wrote:
>
>
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> Hi Denis,
>
>
>
>
> Thanks for the quick reply, so would you say any of those approaches would
> yield fairly similar results?
>
> We could also certainly be interested in having a look at Python implementations
> of ADJUST and FASTER if that was convenient to share as we've already done
> some testing with them.
>
>
>
>
> Ben
>
>
> ------------------------------
>
> *From:* mne_analysis-bounces at nmr.mgh.harvard.edu <
> mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of Denis-Alexander
> Engemann <denis.engemann at gmail.com>
>
> *Sent:* 12 October 2016 14:20:28
>
> *To:* Discussion and support forum for the users of MNE Software
>
> *Subject:* Re: [Mne_analysis] Automatic Component Artefact Removal with
> EEG
>
>
>
>
>
> Hi,
>
>
>
> This is correct. You can also use the corrmap approach to match EOG
> components. We have some local Python implementations of ADJUST and FASTER
> that we would not mind sharing if there is interest in this and would
> facilitate adopting MNE-Python.
>
>
>
>
> Cheers,
>
> Denis
>
>
>
>
>
> On Wed, Oct 12, 2016 at 2:16 PM Ben McCartney <bmccartney06 at qub.ac.uk>
> wrote:
>
>
>
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>
> Hello,
>
>
>
>
>
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>
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>
>
> We have been using EEGLAB to run preprocessing over our EEG data before
> analysing it with Python, and recently we began looking into MNE as an
> alternative for the preprocessing step. We were using ICA to detect and
> automatically remove
> EOG components using
>
> EEGLAB's Binica, along with FASTER and ADJUST. From a quick read through
> the MNE docs it looks like we could get similar behaviour if we ran the ICA
> in MNE, then used the find_bads_eog or detect_artifacts function to
> identify noisy components. Is this the
>
> correct approach? Note that we do not have any dedicated EOG channels in
> our data, would either approach work fine just using a forehead electrode
> location (like Fpz)?
>
>
>
>
>
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>
>
> Thanks,
>
>
>
> Ben
>
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>
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