[Eeglablist] Questions about topographic plot for all subjects and conditions (Makoto's Preprocessing Pipeline)

[Mahjabeen Rahman]

Hi Makoto,

Thanks for your reply. I attached here again as a zipped folder. Can you see them now ?

Best,
Mahjabeen
________________________________
From: eeglablist <eeglablist-bounces at sccn.ucsd.edu> on behalf of Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
Sent: Saturday, June 6, 2020 1:17 PM
To: EEGLAB List <eeglablist at sccn.ucsd.edu>
Subject: Re: [Eeglablist] Questions about topographic plot for all subjects and conditions (Makoto's Preprocessing Pipeline)

Dear Mahjabeen,

Unfortunately the attached figure you mention did not show up on the
screen. Most likely you have to write code to do it.
Send me the figure you tried to attach and I can give you more info.

Makoto

On Thu, Jun 4, 2020 at 3:01 AM Mahjabeen Rahman <
mahjabeen.rahman at knights.ucf.edu> wrote:

> Hi fellow researchers,
>
> I am looking for creating topographic map for all subjects and all
> conditions with level of significance like the attached figures. My
> questions are,
>
>
>   1.  Does anyone have the codes to generate this topographic plots (like
> the attached) ? (If I don't want to use STUDY)
>   2.  If I use STUDY design, in that case, can I use the cleaned data with
> manually rejected components ?  Also I found in Makoto's preprocessing,
>
> "When creating STUDY, I usually load all the .set files into EEGLAB using
> pop_loadset() with 'loadmode', 'info' (it may be possible to do it from GUI
> too, but it is convenient to input EEG.subject and EEG.group altogether at
> this point). Importantly, creating a STUDY cleans your data because it
> performs IC rejection based on the two criteria: 1) dipoles with > 15%
> residual variance--Artoni et al. (2014) showed (indirect) evidence of why
> this value is about optimum; 2) dipoles outside brain--no argument. This is
> why you don't need to bother to manually reject ICs at the individual
> level."
>
> I already did the cleaning, hence asking.
>
> Thanks in advance,
>
> Mahjabeen Rahman
> PhD Student
> Industrial Engineering & Management Systems
> University of Central Florida
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