[Eeglablist] A toolbox for calculating and visualizing cross-frequency power spectrum covariance

[Makoto Miyakoshi]

Dear Scott,

If you take mean across 4-8Hz and 30-200Hz, you can do it. Currently, by
default the frequency ranges are separated into log-spaced 100 bins.

Scott, this is a downgraded version of your 2nd-ICA analysis on spectra
from every 1-s epoch (or something like that) presented in Onton & Makeig
(2009) emotion study. Instead of running ICA on time-frequency IC
activations multivariately, it performs within-IC cross-frequency power
spectrum correlation. If I run ICA on the same data, it would replicate
your method. Actually, I reduced the function into within-IC calculation
only. Initially it was across all ICs, which means output from the function
has IC x IC x freq x freq, but it was too much so I decided to cut all
non-diagonal parts).

Makoto

On Tue, Jan 3, 2017 at 11:45 PM, Scott Makeig <smakeig at ucsd.edu> wrote:

> Makoto -  Does it allow calculation of correlations (?) between power in
> two given bands  (e.g., 4-8 Hz vs 30-200 Hz, etc.)?
>
> Scott
>
> On Tue, Jan 3, 2017 at 9:28 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear List,
>>
>> This is a proof of concept prototype and alpha version (i.e. not tested
>> extensively). The idea is very simple: you can ask whether your 8Hz and
>> 20Hz from the same independent component wax and wane together or not (and
>> positively or negatively). If you wonder what you can do with your resting
>> state EEG data, this may add potentially interesting findings. Please let
>> me know if you encounter problems. Thank  you for your cooperation.
>> https://sccn.ucsd.edu/wiki/CrossFreqPowerSpec
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>
>
> --
> Scott Makeig, Research Scientist and Director, Swartz Center for
> Computational Neuroscience, Institute for Neural Computation, University of
> California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott
>



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