[FieldTrip] Question regarding source-level connectivity

[Michael Houston]

Hi FieldTrip community!

I am interested in researching the dynamic functional connectivity of brain
networks at the source level. The only functional connectivity metric I can
think of to do this with is the magnitude squared wavelet coherence.
However, I usually see weighted phase lag index, phase locking value, and
imaginary coherence used to mitigate the volume conduction effect (via the
imaginary part of cross-spectrum) at the sensor level. However, these
methods do not retain the temporal information.

That being said, would it be acceptable to use wavelet coherence on
source-reconstructed signals derived from MNE and LCMV, for example?

Thanks,
Michael
--
Research Associate, Urology Dept.
University of Miami
MSBE '20, Biomedical Engineering Dept.
University of Houston
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