[Eeglablist] ERSP Analysis Question

[Makoto Miyakoshi]

Dear Jeff,

No. But this is nothing new. Imagine you obtain wavelet transform of entire
continuous data first and then epoch from it. What you do is exactly the
same as this IF AND ONLY IF your epoch length is completely equal to your
ISI (this is very important point).

Makoto

2013/3/27 Boissoneault, Jeff <jboissoneault at ufl.edu>

>  Makoto, ****
>
> ** **
>
> Thank you for your help! I’ve applied your solution and after some
> searching of the eeglablist archives, I’ve been able to extract the
> relevant values from the pop_newtimef procedure with an example subject.
> The sandwiching/concatenation procedure worked well.****
>
> ** **
>
> My follow-up question is whether you aware of any published works which
> have used this method. It would be helpful to be able to provide some
> examples where this procedure has been used when I eventually submit the
> paper I am writing for publication.****
>
> ** **
>
> Thanks again-****
>
> ** **
>
> Jeff B.****
>
> ** **
>
> *From:* Makoto Miyakoshi [mailto:mmiyakoshi at ucsd.edu]
> *Sent:* Friday, March 22, 2013 6:13 PM
> *To:* Boissoneault, Jeff
> *Cc:* eeglablist at sccn.ucsd.edu
> *Subject:* Re: [Eeglablist] ERSP Analysis Question****
>
> ** **
>
> Dear Jeff,****
>
> ** **
>
> When epoch your data, use your entire ISI so that when you concatenate the
> epochs you reproduce the continuity. Then use this solution (attached)
> twice to concatenate the epochs, and extract -1 to 2 sec epoch. This will
> make your data redundant but works well for ERSP/ITC.****
>
> ** **
>
> We use Morlet, so for obtaining a good ERSP/ITC we recommend you use
> lowest 3 Hz at 3 cycle which gives you 1116 ms window length, so you'll
> need -1 to 2 sec epoch length.****
>
> ** **
>
> Makoto****
>
> 2013/3/22 Boissoneault, Jeff <jboissoneault at ufl.edu>****
>
> Hello All,****
>
>  ****
>
> Our lab recently transitioned from NeuroScan’s proprietary suite to
> MATLAB/EEGLAB, and I feel comfortable using the software for ERPs. However,
> we would like to examine event related spectral perturbations in 1 s epochs
> (w/ 200ms baseline) extracted from recordings taken during a working memory
> task. The task consists of three trial blocks which vary by instruction
> set. The sampling rate is 500 Hz. In particular, we’d like to compare late
> alpha power from 500-650 ms and early gamma power from 100-200 ms between
> the three blocks. ****
>
>  ****
>
> I would really appreciate any insight into how we might best conduct the
> ERSP analysis. Thanks in advance for any help!****
>
>  ****
>
> -- ****
>
> Jeff Boissoneault, Ph.D.****
>
> Postdoctoral Associate****
>
> Department of Psychiatry****
>
> University of Florida****
>
>  ****
>
>
> _______________________________________________
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu****
>
>
>
> ****
>
> ** **
>
> --
> Makoto Miyakoshi
> JSPS Postdoctral Fellow for Research Abroad
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego****
>



-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20130327/35576fe3/attachment.html>