[Eeglablist] Classifying Component Problem

[Behçet Özkara]

Hi Scott and Nathan,
I think you both right this is an N400, As I am so focussed on p300 in our
paper, I could not see that obvious thing. Thank you all for your valuable
feedbacks, I really appreciate it.
Best,
Behcet

Scott Coussens <Scott.Coussens at unisa.edu.au>, 7 Mar 2020 Cmt, 10:04
tarihinde şunu yazdı:

> Hi
> This might be super obvious or someone already said it but why not just an
> n400, it’s the right time , in response to a word and topography is ok,
> just a thought
>
> Scott Coussens
>
> Sent using OWA for iPhone
> ------------------------------
> *From:* eeglablist <eeglablist-bounces at sccn.ucsd.edu> on behalf of Behçet
> Özkara <behcetyalinozkara at gmail.com>
> *Sent:* Saturday, 7 March 2020 4:44:25 AM
> *To:* Clement Lee
> *Cc:* EEGLAB List
> *Subject:* Re: [Eeglablist] Classifying Component Problem
>
> Hi Clement,
> We have nearly 90 trials for each and we are quite sure about time locks.
>
> I have same concerns as yours, thats why we controlled everthing twice.
> Furthermore we can detect the same component (central frontal negativity)
> in two different condition at nearly same time Windows. However, we are not
> sure if this is a component or a noise issue. All ideas and feedbacks are
> valuable to us.
>
> Best,
> Behcet
>
> On Fri, Mar 6, 2020, 20:02 Clement Lee <cll008 at eng.ucsd.edu> wrote:
>
> > Hi Behçet,
> >
> > To start with, do you have enough trials to average the noise out of your
> > ERP, and are your epochs accurately time-locked (i.e. event time jitters
> > are accounted for)?
> >
> > Best,
> > Clement Lee
> > Applications Programmer
> > Swartz Center for Computational Neuroscience
> > Institute for Neural Computation, UC San Diego
> > 858-822-7535
> >
> >
> > On Fri, Mar 6, 2020 at 8:49 AM Behçet Özkara <
> behcetyalinozkara at gmail.com>
> > wrote:
> >
> >> Hello all,
> >>
> >> We are having some issues trying to figure out a component which is
> evoked
> >> 350-450 ms time window for word (Brand names) stimuli. It characterized
> as
> >> mainly centro-frontal negativity (for topography map and timeline, you
> can
> >> click the link: https://imgur.com/a/W5laUUz ).
> >>
> >> At first glance, we classified this component as p300a but It is
> unclear,
> >> which component this actually reflects. Any help or clues would be
> really
> >> helpful for us.
> >>
> >> Thanks in advance,
> >>
> >> Behcet
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