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

[Makoto Miyakoshi]

Dear Andria,

There is not much documentation since it does such a simple thing. It does
have a dedicated wiki page if you haven't check it yet.
https://sccn.ucsd.edu/wiki/CrossFreqPowerSpec

Target functionality depends on your research, but I would say 1)
alpha-beta coupling in occipital (visual) alpha and central (sensorimotor)
mu, and 2) 35-Hz pivoting in frequency spectrum oscillation: see the
attached figure--at 35-40Hz, there is almost no fluctuation. Why is that?
This is still a mysterious phenomenon. Scott reported it in Onton & Makeig
(2009), and he (always) claims that the above 35Hz consists 'broad-band
gamma' that extends up to Nyquist frequency. If you can clarify this
phenomenon using this tool, that would be a GREAT contribution to our field!

Makoto

On Wed, Jan 4, 2017 at 9:26 PM, Andria Lan <andrialan108 at gmail.com> wrote:

> Dear Makoto,
>
> Is there any step-by-step documentations that you recommend to follow in
> order to work with toolbox smoothly and understand its major target
> functionality?
>
> Thanks in advance.
> Andria
>
> On Thu, Jan 5, 2017 at 11:03 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Andria,
>>
>> You can install it via EEGLAB plugin manager. Please let me know if you
>> encounter any problem. You may do so just by replying to this email!
>>
>> Makoto
>>
>> On Wed, Jan 4, 2017 at 7:01 PM, Andria Lan <andrialan108 at gmail.com>
>> wrote:
>>
>>> Hi all,
>>>
>>> Where to get the toolbox and how to use it?
>>>
>>> Andria
>>>
>>> On Wed, Jan 4, 2017 at 3:45 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
>>>>
>>>> _______________________________________________
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>>>
>>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>


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