[Eeglablist] Classifying Component Problem

[Scott Coussens]

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

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________________________________
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<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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