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<div name="messageBodySection" style="font-size: 14px; font-family: -apple-system, BlinkMacSystemFont, sans-serif;">Hi,
<div><br /></div>
<div>Assuming trials (e.g. with a duration of 25min), 14 eeg-only channels, no marker/event data, and only interested in the change of frequencyband-power over time, using fixed time windows.</div>
<div>I would like to ask whether it is a good approach to create equally spread events (ignoring the details concerning interval size between events), in order to create an epoch for each artificial event? </div>
<div><br /></div>
<div>Kind Regards,</div>
<div>Gertjan </div>
</div>
<div name="messageReplySection" style="font-size: 14px; font-family: -apple-system, BlinkMacSystemFont, sans-serif;"><br />
On 11 mrt. 2018 17:03 +0100, mne_analysis-request@nmr.mgh.harvard.edu, wrote:<br />
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Today's Topics:<br />
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1. [MNE_analysis] converting EEGlab ICAed .set file to MNE ICA<br />
object (Taehwan Kim)<br />
2. Re: [MNE_analysis] converting EEGlab ICAed .set file to MNE<br />
ICA object (Brunner, Clemens (clemens.brunner@uni-graz.at))<br />
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Message: 1<br />
Date: Sat, 10 Mar 2018 15:46:03 -0500<br />
From: Taehwan Kim <iankim@nyu.edu<br />
Subject: [Mne_analysis] [MNE_analysis] converting EEGlab ICAed .set<br />
file to MNE ICA object<br />
To: mne_analysis@nmr.mgh.harvard.edu<br />
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<CAKWgqchEbmxKvyfMRz+9UfApeKK9QOCA=Hn-M67-q=Gr8UHKYg@mail.gmail.com<br />
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<br />
Hi,<br />
<br />
I fitted ICA on EEGlab with EEG data, and generated some .set files. I want<br />
to try the MNE Python ICA functions, and want to try converting those .set<br />
files into MNE Python ICA objects. Is there a way to do that?<br />
<br />
Thanks in advance!<br />
Ian<br />
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Message: 2<br />
Date: Sun, 11 Mar 2018 07:44:33 +0000<br />
From: "Brunner, Clemens (clemens.brunner@uni-graz.at)"<br />
<clemens.brunner@uni-graz.at<br />
Subject: Re: [Mne_analysis] [MNE_analysis] converting EEGlab ICAed<br />
.set file to MNE ICA object<br />
To: Discussion and support forum for the users of MNE Software<br />
<mne_analysis@nmr.mgh.harvard.edu<br />
Message-ID: <508389A3-2C07-499F-9502-C6B92F11379A@uni-graz.at<br />
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<br />
Hi!<br />
<br />
In principle this should be possible. You can load the .set file with scipy.io.loadmat (because it is a valid .mat file). The important ICA-related parts are stored in EEG.weights and EEG.sphering - these roughly correspond to MNE?s ICA.unmixing_matrix_ and ICA.pca_components_. You could create a new ICA object with ica = mne.preprocessing.ICA() and then set these two fields. However, you might need to set other attributes in order for this to work (https://martinos.org/mne/stable/generated/mne.preprocessing.ICA.html#attributes). Furthermore, EEGLAB and MNE handle these matrices slightly differently in terms of performed transformations. MNE performs a pre-whitening transform (which is usually a scaling to unit variance), and this is not included in the two matrices. I?m currently trying to simplify this process, so if it doesn?t work please feel free to contact me again.<br />
<br />
Clemens<br />
<br />
<br />
<br />
<blockquote type="cite" style="margin: 5px 5px; padding-left: 10px; border-left: thin solid #e67e22;">On Mar 10, 2018, at 21:46, Taehwan Kim <iankim@nyu.edu> wrote:<br />
<br />
Hi,<br />
<br />
I fitted ICA on EEGlab with EEG data, and generated some .set files. I want to try the MNE Python ICA functions, and want to try converting those .set files into MNE Python ICA objects. Is there a way to do that?<br />
<br />
Thanks in advance!<br />
Ian<br />
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