[FieldTrip] Fwd: spectral_Granger_causality

[Schoffelen, J.M. (Jan Mathijs)]

Hi Edoardo,

Please ask your questions on the discussion list. In this way, other people can chime in to provide answers, and also other people can learn from the discussion.

Best wishes,
Jan-Mathijs


Begin forwarded message:

From: Edoardo Pinzuti <edoardo.pinzuti at gmail.com<mailto:edoardo.pinzuti at gmail.com>>
Subject: spectral_Granger_causality
Date: 30 May 2019 at 12:16:08 CEST
To: j.schoffelen at donders.ru.nl<mailto:j.schoffelen at donders.ru.nl>

Dear M.J Schoffelen,

I am a phd student of the Brain Imaging Center of Frankfurt am Main. I usually take your work on spectral Granger Causality, as  reference.
I have few short questions on nonparametric GC that I hope you can answer.

1) The nonparamteric GC needs the full spectrum decomposition 0 Hz up to Nyquist frequency, is what you usually do ?

2) I set the Fieldtrip function to granger.conditional='yes'  , the output is source-->target conditional on all other sources of the network?

3) I saw that you do the spectral analysis on channels and then project them to source space (multiply with spatial filter) does it make a difference to do the spectral analysis directly on virtual channel data?

4) Padding. Would you suggest to pad the data? I have 0.250 ms task length, now I pad the data to 0.400 ms with a spectral resolution of 2.5 Hz and being interested on beta frequencies I use Hanning taper.

thanks a lot for your help
Best,
Edoardo



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https://doi.org/10.1371/journal.pcbi.1002202