[Eeglablist] epoch length inquiry for short trials

[Kavanaugh, Brian]

Hi Scott,

Wonderful, thank you for your guidance!

Brian

On Mon, Jan 3, 2022 at 12:06 AM Scott Makeig <smakeig at gmail.com> wrote:

> Brian -
>
> There is no problem with extracting overlapping epochs if you keep in mind
> which parts overlap.  If you are interested in measures in the
> time/frequency domain (ERSP, ITC, coherence and cross-coherence, etc.),
> then it is necessary to use a long enough trial epoch to include, e.g., at
> least one time window wholly within the trial 'baseline' period before the
> first latency of analysis interest (to enable within-trial
> before/during/after comparisons), and at least one window centered at the
> last latency of analysis interest. To measure down to 3 Hz - using a
> 3-cycle window to improve spectral resolution - a -1-s to 2-s window length
> is sufficient.
>
> Scott Makeig
>
> On Sun, Jan 2, 2022 at 11:55 PM Kavanaugh, Brian via eeglablist <
> eeglablist at sccn.ucsd.edu> wrote:
>
>> Hi everyone,
>>
>> Our kids go/nogo task has shorter trials (500 ms stimuli, 900 ms response
>> window [or until response], 200 ms inter-trial interval) than the -1 to 2
>> second epoch time length. Particularly as we are interested in midline
>> theta activity.
>>
>> I'm sure this has been explained before, but I struggled to find it in the
>> archives. I apologize in advance.
>>
>> If I use the -1 to 2 sec epoch in eeglab, won't these epochs overlap
>> trials? Making inter-trial intervals longer would seem to solve this
>> issue,
>> but now that data has been collected... Any advice on optimal epoching?
>>
>> Thank you!!!
>>
>> Brian
>>
>>
>> Brian Kavanaugh, Psy.D., ABPP
>>
>> Board Certified in Clinical Neuropsychology, Pediatric Subspecialist
>>
>> Pediatric Neuropsychologist, E. P. Bradley Hospital
>>
>> Assistant Professor (Research), Warren Alpert Medical School of Brown
>> University
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>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott
>