Dear Ulrich,

Yes, I think this is a good way to do it.

Vladimir

Dear Vladimir,

Many thanks for your help!

May I ask: As a reviewer, would you agree with the following procedure:

- Data at scalp-level show ITC effect at certain time-frequency window.
- For source estimation of this effect, the evoked response at this time-frequency window is inverted.
- Optionally, just as a double check, the time-series at the voxel with the maximum source activity is extracted, and ITC is demonstrated again for these data.

Best wishes,Ulrich

From:Vladimir Litvak <[log in to unmask]>

Sent:25 February 2019 11:53

To:Pomper, Ulrich

Cc:[log in to unmask]

Subject:Re: [SPM] PLV / ITC source estimationDear Ulrich,

In principle, inter-trial coherence has a very close relation to ERP so it's unlikely that the sources of the two are different. The way you would localise an ITC effect is by doing source reconstruction of your epoched data, followed by source extraction, then computing ITC at the source level and then doing stats on that. If you are interested in specific ROIs, that's quite easy. If you want to do it for the whole mesh, it can also be done but with slightly more tweaking.

Best,

Vladimir

Dear SPM users,

My apologies for bumping my question, I just thought I'd give it a second try.

If anyone has an idea on how to compute source estimates of Intertrial-coherence I'd very much appreciate your help!

Best wishes,

Ulrich

From:Pomper, Ulrich

Sent:13 February 2019 11:11

To:[log in to unmask]

Subject:PLV / ITC source estimationDear SPM users,

In my data, have found a significant difference in inter-trial coherence / phase locking between two conditions at the scalp level. Now I would like to calculate a source estimate of that ITC effect, similar to a source inversion of a power effect in a certain time-frequency window. Could anybody point me in a direction how to do that?

I know how to invert time-frequency data and evoked fields, but I haven’t seen anything on ITC yet.

I’d be very grateful for any help in that regard!

Many thanks,

Ulrich

--

Dr. Ulrich PomperDepartment of Basic Psychological Research and Research Methods

University of Vienna

Austria