[FieldTrip] Preprocessing before connectivity analysis and model order

jan-mathijs schoffelen jan.schoffelen at donders.ru.nl
Tue Feb 26 21:52:37 CET 2013

Dear Subbu,

In general I would discourage people to perform connectivity analysis on (non-invasively obtained) sensor-level data, with or without ICA cleaning. If, however, you are bold enough to try, I'd recommend to discard epochs that are contaminated by eye-blinks/EMG activity etc., rather than using ICA for cleaning. The main reason is that removing topographies of artifactual components may actually inject correlations onto the recordings. I don't know the wikipedia article myself, but I would say that DTF and PDC are not immune for volume conduction. Also, it is important to keep in mind that your choice of reference is important when interpreting results. 



On Feb 25, 2013, at 10:52 PM, Subramaniam Iyer wrote:

> Dear FieldTrip users
> I  am trying to compute PDC from a set of EEG data from 10 subjects. I have three questions regarding connectivity analysis.
> 1) Since the data has artifacts (EOG,EMG) , would it be alright to preprocess the data using for ex. ICA ? This wikipedia article says, its not advisable :http://en.wikipedia.org/wiki/Brain_connectivity_estimators#DTF_and_PDC_are_not_influenced_by_volume_conduction. What would be your opinion ? Is there any article that would shed some light on this ?
> 2) How do I compute the model order in FieldTrip ? Before that, how can I check if the data is stable and stationary before computing the MVAR model in FieldTrip ?
> 3) How do I compute the threshold for PDC above which I can safely assume, a link exists between two regions ?
> Thanks in advance.
> Subbu
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Jan-Mathijs Schoffelen, MD PhD 

Donders Institute for Brain, Cognition and Behaviour, 
Centre for Cognitive Neuroimaging,
Radboud University Nijmegen, The Netherlands

Max Planck Institute for Psycholinguistics,
Nijmegen, The Netherlands

J.Schoffelen at donders.ru.nl
Telephone: +31-24-3614793

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