Stimulus-evoked data connectivity

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1

Hi All,

I have two questions when I compute source space connectivity.

(1) Is mne.connectivity.spectral_connectivity designed for stimulus-evoked data ?(Because I notice that the example data was stimulus-evoked.)
(2) I want to know whether the connectivity was changed over time. Can I compute the connectivity under different time window (eg: 100-150ms, 150-200ms after stimulus onset). Is it reasonable?

Could anyone help me ?

Thank you so much.

-Best

Xiaoxu

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2

Hi!
You can checkout the "cwt_morlet" option to get time resolved connectivity.
See this example
http://www.martinos.org/mne/stable/auto_examples/connectivity/plot_cwt_sensor_connectivity.html#sphx-glr-auto-examples-connectivity-plot-cwt-sensor-connectivity-py

Hope that helps,
Denis

3

Hi Dennis,

I don?t mean to bud in, but a quick question

are both of these examples

http://www.martinos.org/mne/stable/auto_examples/connectivity/plot_mne_inverse_connectivity_spectrum.html#sphx-glr-auto-examples-connectivity-plot-mne-inverse-connectivity-spectrum-py
http://www.martinos.org/mne/stable/auto_examples/connectivity/plot_cwt_sensor_connectivity.html#sphx-glr-auto-examples-connectivity-plot-cwt-sensor-connectivity-py

calculating phase connectivity across trials that is- wPLI is calculated from the phase angle difference distributions at a particular point across trials

or is one or both often calculating phase angle differences from multiple points across the time from within each trial that is wPLI across time?

thanks //dave

Hi!
You can checkout the "cwt_morlet" option to get time resolved connectivity. See this example http://www.martinos.org/mne/stable/auto_examples/connectivity/plot_cwt_sensor_connectivity.html#sphx-glr-auto-examples-connectivity-plot-cwt-sensor-connectivity-py

Hope that helps,
Denis
Hi All,

I have two questions when I compute source space connectivity.

(1) Is mne.connectivity.spectral_connectivity designed for stimulus-evoked data ?(Because I notice that the example data was stimulus-evoked.)
(2) I want to know whether the connectivity was changed over time. Can I compute the connectivity under different time window (eg: 100-150ms, 150-200ms after stimulus onset). Is it reasonable?

Could anyone help me ?

Thank you so much.

-Best

Xiaoxu

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4

Hi Dave,

no all is computed across trials. When using a continuous Morlet Wavelet
the cross-spectral density matrix is time-resolved but the same metrics can
be computed. You always consume the trials dimensions in both case,
irrespective of the connectivity metric.

Hope that helps,
Denis

5

Hi Denis,

Thank you so much.

Yes I can compute time-frequency connectivity to get time resolved connectivity.

While I still have a more general question. When computing connectivity for band/time containing the evoked response, the result reflects true connectivity but also artifactual connectivity driven by evoke response of stimuli(eg: visual stimuli). For example, if there is time delay between the evoke response of two independent areas (A and B), the spurious connectivity between these A and B will be revealed. So in some studies, people remove evoked response from data before calculating the connectivity. But in examples in MNE-python, is there any consideration about this point?

Best,

Xiaoxu