[Mne_analysis] Mne_analysis Digest, Vol 123, Issue 17

Rani Gupta raniaiims at gmail.com
Mon Apr 9 13:29:41 EDT 2018
Search archives:

Thank you. It is a kind request if you could remove my email from the
mailing list

With  Regards
 Rani

On Mon, Apr 9, 2018 at 6:30 AM, <mne_analysis-request at nmr.mgh.harvard.edu>
wrote:

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> Today's Topics:
>
>    1. Re: baseline correction (Gertjan De Mulder)
>    2. Re: baseline correction (Mainak Jas)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Mon, 9 Apr 2018 13:55:09 +0200
> From: Gertjan De Mulder <gertjan.demulder at ugent.be>
> Subject: Re: [Mne_analysis] baseline correction
> To: mne_analysis at nmr.mgh.harvard.edu
> Message-ID: <73003d31-e5cb-41a1-b65e-cc0fd23a3601 at Spark>
> Content-Type: text/plain; charset="utf-8"
>
> Hi,
>
> The goal is to create Epochs with a baseline correction.
> Assuming event with id=8 indicates the start of a stimulus with a 40sec
> duration.
> The 5 seconds prior to that event (id=8) are considered as the baseline.
>
> I would like to know if I understand the epochs-initialization correctly.
>
> My parameters for the Epochs constructor are as follows:
> ?tmin = -5
> ?tmax = 40
> ?baseline = (-5, 0)
>
> Or is it safer/better to set baseline to (None, 0) ?
>
> Conceptually:
>
> |----------------------------------------> time
> |<- 5s ->|<- ? 40 sec ->|
> ? ? ? ?8
>
>
> Kind Regards,
> Gertjan
>
> On 8 apr. 2018 18:01 +0200, mne_analysis-request at nmr.mgh.harvard.edu,
> wrote:
> > Send Mne_analysis mailing list submissions to
> > mne_analysis at nmr.mgh.harvard.edu
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> > 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
> >
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> >
> > When replying, please edit your Subject line so it is more specific
> > than "Re: Contents of Mne_analysis digest..."
> >
> >
> > Today's Topics:
> >
> > 1. Re: Virtual electrode/sensor (Alexandre Gramfort)
> >
> >
> > ----------------------------------------------------------------------
> >
> > Message: 1
> > Date: Sun, 8 Apr 2018 15:55:10 +0200
> > From: Alexandre Gramfort <alexandre.gramfort at inria.fr
> > Subject: Re: [Mne_analysis] Virtual electrode/sensor
> > To: Discussion and support forum for the users of MNE Software
> > <mne_analysis at nmr.mgh.harvard.edu
> > Message-ID:
> > <CADeotZqsYmcX9-uDEohv+29VaS+SK8kaBjB4MsygWKjDSO-R5Q at mail.gmail.com
> > Content-Type: text/plain; charset="utf-8"
> >
> > hi Karin,
> >
> > what you call "virtual electrode" is what people commonly refer to as
> > a beamforming method. We have LCMV and DICS implemented in MNE-Python.
> > See our examples and documentation on beamforming.
> > As a side note, I find the term virtual electrode a bit misleading as you
> > still
> > need to solve an inverse problem. To me it's just a linear inverse method
> > among many variants.
> >
> > HTH
> > Alex
> >
> >
> > On Sat, Apr 7, 2018 at 5:38 PM, Karin Westin <karin.westin85 at gmail.com
> > wrote:
> >
> > > Hi everyone!
> > >
> > > I'm currently working on source localization of epileptic spikes in MEG
> > > data, and I would like to create a "virutal sensor", ie a signal with
> the
> > > same appereance as if one were to put a sensor exactly in the region
> > > creating the epileptic spikes. I know that this is possible using
> Matlab
> > > Field Trip, but is there an (easy) way of doing it using MNE Python
> instead?
> > >
> > > Thanks and best,
> > >
> > > Karin
> > >
> > > _______________________________________________
> > > Mne_analysis mailing list
> > > Mne_analysis at nmr.mgh.harvard.edu
> > > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
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> > >
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> ------------------------------
>
> Message: 2
> Date: Mon, 9 Apr 2018 14:30:28 +0200
> From: Mainak Jas <mainakjas at gmail.com>
> Subject: Re: [Mne_analysis] baseline correction
> To: Discussion and support forum for the users of MNE Software
>         <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
>         <CANzrpG0+kkHxRUhVvCE-wGcUp0r2_4ZM=11jK1AqnmyUNSGNDw
> @mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> Hi,
>
> They should be the same but I would use (None, 0) because it would work
> even if you change tmin. Otherwise, no difference.
>
> Mainak
>
> On Mon, Apr 9, 2018 at 1:55 PM, Gertjan De Mulder <
> gertjan.demulder at ugent.be
> > wrote:
>
> > Hi,
> >
> > The goal is to create Epochs with a baseline correction.
> > Assuming event with id=8 indicates the start of a stimulus with a 40sec
> > duration.
> > The 5 seconds prior to that event (id=8) are considered as the baseline.
> >
> > I would like to know if I understand the epochs-initialization correctly.
> >
> > My parameters for the Epochs constructor are as follows:
> > tmin = -5
> > tmax = 40
> > baseline = (-5, 0)
> >
> > Or is it safer/better to set baseline to (None, 0) ?
> >
> > Conceptually:
> >
> > |----------------------------------------> time
> > |<- 5s ->|<-   40 sec ->|
> >        8
> >
> >
> > Kind Regards,
> > Gertjan
> >
> > On 8 apr. 2018 18:01 +0200, 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. Re: Virtual electrode/sensor (Alexandre Gramfort)
> >
> >
> > ----------------------------------------------------------------------
> >
> > Message: 1
> > Date: Sun, 8 Apr 2018 15:55:10 +0200
> > From: Alexandre Gramfort <alexandre.gramfort at inria.fr
> > Subject: Re: [Mne_analysis] Virtual electrode/sensor
> > To: Discussion and support forum for the users of MNE Software
> > <mne_analysis at nmr.mgh.harvard.edu
> > Message-ID:
> > <CADeotZqsYmcX9-uDEohv+29VaS+SK8kaBjB4MsygWKjDSO-R5Q at mail.gmail.com
> > Content-Type: text/plain; charset="utf-8"
> >
> > hi Karin,
> >
> > what you call "virtual electrode" is what people commonly refer to as
> > a beamforming method. We have LCMV and DICS implemented in MNE-Python.
> > See our examples and documentation on beamforming.
> > As a side note, I find the term virtual electrode a bit misleading as you
> > still
> > need to solve an inverse problem. To me it's just a linear inverse method
> > among many variants.
> >
> > HTH
> > Alex
> >
> >
> > On Sat, Apr 7, 2018 at 5:38 PM, Karin Westin <karin.westin85 at gmail.com
> > wrote:
> >
> > Hi everyone!
> >
> > I'm currently working on source localization of epileptic spikes in MEG
> > data, and I would like to create a "virutal sensor", ie a signal with the
> > same appereance as if one were to put a sensor exactly in the region
> > creating the epileptic spikes. I know that this is possible using Matlab
> > Field Trip, but is there an (easy) way of doing it using MNE Python
> > instead?
> >
> > Thanks and best,
> >
> > Karin
> >
> > _______________________________________________
> > 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.
> >
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> >
> >
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