[Eeglablist] baseline for short trial durations

[Makoto Miyakoshi]

Dear Jumana,

> Is this long enough for ITC.

No. See this timely update of my wiki page.

https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline#A_tip_to_compute_time-frequency_transform_.28i.e._ERSP_.26_ITC.29_.2801.2F11.2F2017_updated.29

Therefore, you still want to use -1 to 2 second even if it create massive
overlap. Your data will be 6 times heavier, and it's EEGLAB's pipeline
issue: if you can compute time-frequency transform first then epoch, it
does not occur. Hoewver, except for inefficiency. you can still perform a
correct computation, which is good.

Makoto



On Wed, Jan 4, 2017 at 4:03 AM, Ahmad, Jumana <jumana.ahmad at kcl.ac.uk>
wrote:

> Dear all,
>
>
>
> I am analysing data from a MMN oddball experiment with:
>
>
>
> Standards, 1000Hz 50ms tone; and deviant, 1000Hz, 100ms
>
>
>
> The SOA is a random 500-600ms, so includes the tones (i.e. doesn't get
> longer when the duration is longer).
>
>
>
> I want to calculate ERPs and ITC. What duration would you recommend for a
> baseline?
>
>
>
> I am trying to avoid subtracting as much experimental related activity as
> possible, and as I am focusing on the MMN which occurs fairly early (let’s
> say before 300ms), I wondered if I should subtract a -100ms baseline. Is
> this long enough for ITC. Sampling rate is 1000Hz, in most of data (I have
> 600 datasets, and 10% used 256Hz which of course I have used different
> filter lengths for etc.). Ideally I would look at the P3 but my trials may
> not be long enough.
>
>
>
> Thank you,
>
> Jumana
>
>
>
>
>
>
>
>
>
>
>
> *------------------------------------------*
>
> *Jumana Ahmad*
>
> Post-Doctoral Research Worker in Cognitive Neuroscience
>
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> | Institute of Psychiatry, Psychology & Neuroscience | King’s College
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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