[Mne_analysis] Stimulus-evoked data connectivity

Wed Apr 12 23:37:32 EDT 2017

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

> On Apr 12, 2017, at 3:42 PM, Denis-Alexander Engemann <denis.engemann at gmail.com> wrote:
> 
> 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
> 
> On Wed, Apr 12, 2017 at 4:15 PM David I Leitman <leitman at mail.med.upenn.edu <mailto:leitman at mail.med.upenn.edu>> wrote:
> 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_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 <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
> 
>> 
>> On Apr 12, 2017, at 9:08 PM, Denis-Alexander Engemann <denis.engemann at gmail.com <mailto:denis.engemann at gmail.com>> wrote:
>> 
>> 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 <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
>> On Wed, 12 Apr 2017 at 15:02, daisy <smartcandies at 163.com <mailto:smartcandies at 163.com>> wrote:
>> 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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