[Eeglablist] Wavelet analysis result combination

Julian Yaoan Cheng jycheng0 at stanford.edu
Thu Feb 2 10:27:22 PST 2017

Dear Makoto,

Thanks for your insight. This was what I suspected.

I later went ahead and did it both ways to compare the differences; while the general spectral characteristics seemed similar the numbers were pretty off.

Seems like there's no shortcut to this.



From: Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
Sent: Thursday, February 2, 2017 10:01:09 AM
To: Julian Yaoan Cheng
Cc: eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] Wavelet analysis result combination

Dear Julian,

If you are talking about STUDY (i.e. group-level solution), yes you can do it. You can combine Ahit and Amiss conditions into one condition by using STUDY.design from GUI.

For a single-subject analysis, you need to create a .set that contains Ahit and Amiss to represent Ahit + Amiss. But I don't think you can perform single-subject ERSP subtraction test (at least with decent statistics).


On Tue, Jan 31, 2017 at 10:20 AM, Julian Yaoan Cheng <jycheng0 at stanford.edu<mailto:jycheng0 at stanford.edu>> wrote:

Hi all,

Lets say I have conditions A,B for which there are sub-categories hit and miss, forming Ahit, Amiss, Bhit, Bmiss.

If I'm interested in seeing [A vs B], [Ahit vs Amiss], and [Bhit vs Bmiss] analyses, can I do just 2 separate wavelet analyses [Ahit vs Amiss] and [Bhit vs Bmiss], and then use algebra on the ERSP matrix to generate [A vs B] (as in: [(Ahit + Amiss) - (Bhit + Bmiss)])? Or do I have to pool the epochs and do a third wavelet of [A vs B] proper?

I am assuming of course that all wavelet parameters are the same (cycles, baseline, frequency/times ...etc).



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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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