[Mne_analysis] [mne-python] use spectral_connectivity on a single epoch

[Sheraz Khan]

Normally all the connectivity measures are defined across epochs, and look
for consistency of phase across them. For single trial value is one.

You can do connectivity across time however window need be very long in
order to compensate for the bias in the connectivity.

Sheraz


On Fri, Aug 8, 2014 at 11:14 AM, Denis-Alexander Engemann <
denis.engemann at gmail.com> wrote:

>
>
>
> On Fri, Aug 8, 2014 at 5:06 PM, Alexandre Gramfort <
> alexandre.gramfort at telecom-paristech.fr> wrote:
>
>> hi mads,
>>
>> just call spectral_connectivity on each epoch.
>>
>> for k in range(len(epochs)):
>>     out = spectral_connectivity(epochs[k], ...)
>>     ....
>>
>>
> Arent' these all measures that are defined across epochs??
>
>
>> or something along these lines.
>>
>> HTH
>> Alex
>>
>> On Thu, Aug 7, 2014 at 2:34 PM, Mads Jensen <mje.mads at gmail.com> wrote:
>> > Hi all,
>> >
>> > Using mne-python, is it possible to use spectral_connectivity on a
>> > single epoch at a time.
>> >
>> > I have a single subject and I would like to calculate the Phase-Locking
>> > Value (or similar "connectivity" measure) on single trial basis. As I
>> > understand the output of the spectral_connectivity the returned object
>> > is one value and not one per epoch. Is it possible to get it to return a
>> > value per epoch or does that simply not make any sense to do?
>> >
>> > thanks,
>> > mads
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