[Mne_analysis] Approach for creating epochs

Alexandre Gramfort alexandre.gramfort at inria.fr
Sun Mar 11 15:39:51 EDT 2018
Search archives:

hi,

not sure to understand what you're asking but maybe this can help:

https://martinos.org/mne/stable/generated/mne.make_fixed_length_events.html

Best,
Alex


On Sun, Mar 11, 2018 at 6:23 PM, Gertjan De Mulder <
gertjan.demulder at ugent.be> wrote:

> Hi,
>
> 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.
> 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?
>
> Kind Regards,
> Gertjan
>
> On 11 mrt. 2018 17:03 +0100, mne_analysis-request at nmr.mgh.harvard.edu,
> wrote:
>
> Send Mne_analysis mailing list submissions to
> mne_analysis at nmr.mgh.harvard.edu
>
> To subscribe or unsubscribe via the World Wide Web, visit
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
> or, via email, send a message with subject or body 'help' to
> mne_analysis-request at nmr.mgh.harvard.edu
>
> You can reach the person managing the list at
> mne_analysis-owner at nmr.mgh.harvard.edu
>
> When replying, please edit your Subject line so it is more specific
> than "Re: Contents of Mne_analysis digest..."
>
>
> Today's Topics:
>
> 1. [MNE_analysis] converting EEGlab ICAed .set file to MNE ICA
> object (Taehwan Kim)
> 2. Re: [MNE_analysis] converting EEGlab ICAed .set file to MNE
> ICA object (Brunner, Clemens (clemens.brunner at uni-graz.at))
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sat, 10 Mar 2018 15:46:03 -0500
> From: Taehwan Kim <iankim at nyu.edu
> Subject: [Mne_analysis] [MNE_analysis] converting EEGlab ICAed .set
> file to MNE ICA object
> To: mne_analysis at nmr.mgh.harvard.edu
> Message-ID:
> <CAKWgqchEbmxKvyfMRz+9UfApeKK9QOCA=Hn-M67-q=Gr8UHKYg at mail.gmail.com
> Content-Type: text/plain; charset="utf-8"
>
> Hi,
>
> 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?
>
> Thanks in advance!
> Ian
> -------------- next part --------------
> An HTML attachment was scrubbed...
> URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/
> attachments/20180310/cc969a3e/attachment-0001.html
>
> ------------------------------
>
> Message: 2
> Date: Sun, 11 Mar 2018 07:44:33 +0000
> From: "Brunner, Clemens (clemens.brunner at uni-graz.at)"
> <clemens.brunner at uni-graz.at
> Subject: Re: [Mne_analysis] [MNE_analysis] converting EEGlab ICAed
> .set file to MNE ICA object
> To: Discussion and support forum for the users of MNE Software
> <mne_analysis at nmr.mgh.harvard.edu
> Message-ID: <508389A3-2C07-499F-9502-C6B92F11379A at uni-graz.at
> Content-Type: text/plain; charset="utf-8"
>
> Hi!
>
> 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.
>
> Clemens
>
>
>
> On Mar 10, 2018, at 21:46, Taehwan Kim <iankim at nyu.edu> wrote:
>
> Hi,
>
> 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?
>
> Thanks in advance!
> Ian
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
>
> The information in this e-mail is intended only for the person to whom it
> is
> addressed. If you believe this e-mail was sent to you in error and the
> e-mail
> contains patient information, please contact the Partners Compliance
> HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in
> error
> but does not contain patient information, please contact the sender and
> properly
> dispose of the e-mail.
>
>
>
>
>
> ------------------------------
>
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
> End of Mne_analysis Digest, Vol 122, Issue 14
> *********************************************
>
>
> _______________________________________________
> Mne_analysis mailing list
> Mne_analysis at nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
>
>
> The information in this e-mail is intended only for the person to whom it
> is
> addressed. If you believe this e-mail was sent to you in error and the
> e-mail
> contains patient information, please contact the Partners Compliance
> HelpLine at
> http://www.partners.org/complianceline . If the e-mail was sent to you in
> error
> but does not contain patient information, please contact the sender and
> properly
> dispose of the e-mail.
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20180311/63a6d99d/attachment-0001.html 


More information about the Mne_analysis mailing list