[Eeglablist] Single trial connectivity analysis using SIFT

[Makoto Miyakoshi]

Dear Sampath,

Sorry for the late reply.
That's a good question. The default SIFT performs ensemble something, which
basically works on the trial-averaged data. So no matter how eager you look
into the code, you won't find single-trial info flow metric before
averaging--in fact, the info flow metric is calculated after single-trial
averaging, if I remember correctly.

When I need to obtain a single-trial info flow metric, I
calculate continuous data dDTF etc. then epoch the time-freq dDTF data. You
need to write you own code for this, no GUI support unfortunately.

Makoto

On Sun, Jan 29, 2023 at 11:06 AM Sampath Thoutanahalli Kapanaiah <
sampath.kapanaiah at uni-ulm.de> wrote:

> Dear Makoto and  EEGLab users,
>
> I have single electrode LFP recordings from four brain regions in mice,
> and this data has around 20 to 30 events that are non-time-locked 3-sec
> segments. I am planning to do a single trial SIFT rPDC connectivity
> analysis. Here I have two main questions.
>
> 1) Is it better to analyze the connectivity of all events combined
> 2) What would be the best parameter to do a single trial analysis
>
> I appreciate any help you can provide.
>
> Best wishes,
> Sampath
>
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