[Eeglablist] magnitude squared coherence - trial averaging

[Makoto Miyakoshi]

Dear Germano,

Check out Tim Mullen's SIFT.
http://sccn.ucsd.edu/wiki/SIFT
http://sccn.ucsd.edu/mediawiki/images/d/d2/SIFT_manual_0.1a.pdf

> (3) Do the number of trials per condition influence the computation of
the magnitude squared coherence?

I guess so. More trials, more computation, better SNR.

Makoto


On Wed, Jul 2, 2014 at 2:30 AM, Germano Gallicchio <
germano.gallicchio at gmail.com> wrote:

> Dear EEGLAB users,
>
> I am computing the magnitude squared coherence between electrode pairs.
>
> (1) Is there any EEGLAB function to compute this specific kind of
> coherence measure?
>
> (2) I am currently using the MATLAB function mscohere(), which takes
> several arguments including the 2 vectors that I want to compare.
> Naturally I have several trials per condition and I am not sure which of
> the following procedures is the correct one:
> a. average trials per condition (like I would do for ERPs) and then
> compute the coherence over these trial-averaged vectors
> b. compute coherence for each trial and then average the single-trial
> coherence, per condition
> Could any of you please help me select the right procedure?
>
> (3) Do the number of trials per condition influence the computation of the
> magnitude squared coherence?
>
> Thanks for your time.
>
> All the best
> Germano
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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