[mne-python] use spectral_connectivity on a single epoch

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1

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

2

hi mads,

just call spectral_connectivity on each epoch.

for k in range(len(epochs)):
    out = spectral_connectivity(epochs[k], ...)
    ....

or something along these lines.

HTH
Alex

3

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

> 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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4

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