[Mne_analysis] envelope correlation

[Denis A. Engemann]

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Hi Vivek,

No this is not  convenient as the PSD function gives you a power spectrum and not a time course.

You really want  to use apply_inverse_epochs: https://mne.tools/dev/generated/mne.minimum_norm.apply_inverse_epochs.html#mne.minimum_norm.apply_inverse_epochs

We then compute the analytic signal https://en.wikipedia.org/wiki/Analytic_signal#Envelope_and_instantaneous_phase using the Hilbert transform.

If you do not do that by hand, the envelope_correlation function will take care of it internally as in this example:
https://mne.tools/dev/auto_examples/connectivity/plot_mne_inverse_envelope_correlation.html#sphx-glr-auto-examples-connectivity-plot-mne-inverse-envelope-correlation-py

Best regards,
Denis

> On Jul 31, 2019, at 8:24 AM, Vivek Sharma <vivek.sharma1510 at gmail.com> wrote:
> 
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> 
> 
> Hi,
> Can we compute envelope correlation using source data obtained from using mne.minimum_norm.compute_source_psd function.
> 
> On Tue, Jul 16, 2019 at 10:32 PM Vivek Sharma <vivek.sharma1510 at gmail.com> wrote:
> I mean how can I have this.
> If I have sources calculated using "https://martinos.org/mne/stable/auto_examples/datasets/plot_opm_rest_data.html#sphx-glr-auto-examples-datasets-plot-opm-rest-data-py" this example. So how should I proceed to compute envelope correlation in this calculated source space.
> 
> On Tue, Jul 16, 2019 at 9:47 PM Alexandre Gramfort <alexandre.gramfort at inria.fr> wrote:
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> 
> then you have your answer. It is written:
> 
> data: array_like, shape=(n_epochs, n_signals, n_times)
> 
> so you miss one dimension
> 
> A
> 
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> -- 
> Vivek Sharma
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> Vivek Sharma
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