[Mne_analysis] spectral_connectivity function in MNE Python Library

[Denis A. Engemann]

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Hi Sudhakar,

what you experience is expected as the spectral connectivity metrics implemented in that function are defined as statistics across epochs/trials.
See notes here: https://mne.tools/stable/generated/mne.connectivity.spectral_connectivity.html

We should probably include a warning or even throw an error in when a single epoch is passed.
I’d  be even careful  when using only few epochs.
You need data to estimate these metrics.

Hope that helps,
Denis

> On Feb 8, 2020, at 2:40 PM, sudhakar Mishra <rs163 at iiita.ac.in> wrote:
> 
>         External Email - Use Caution        
> 
> 
> Hi all,
> 
> I am using MNE library for cross confirming my results on connectivity. While using the library I noticed something peculiar. When I provide data with more than one epoch the spectral_connectivity function seems to work fine. But, when the data with only one epoch is provided, I get the connectivity matrix with all one in the lower triangle. I am unable to comprehend the issue. Please help me with this.
> 
> For your reference I am providing the modified example taken from the website only.
> 
> Looking eagerly for your reply.
> 
> Thanks,
> Sudhakar Mishra
> Research Scholar
> IIIT-Allahabad
> Website
> 
> 
> Is the nothingness lack of differentiation?
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