[FieldTrip] How to do statistical analysis of connectivity data with FieldTrip?

[tibor.auer at gmail.com]

Hi Jan,

 

I had the same issue and developed a set of functions and a framework within Automatic Analysis (aa) <https://github.com/automaticanalysis/automaticanalysis> . The examples <https://github.com/automaticanalysis/automaticanalysis/tree/master/examples/demos>  contain a use case test for EEG (meeg.m and meeg.xml). However, it does not cover connectivity, but the corresponding modules (aamod_meeg_connectivityanalysis, aamod_meeg_connectivitystatistics aamod_meeg_crossfrequencyanalysis, aamod_meeg_crossfrequencystatistics) are there already.

I showcase them (including the connectivity) at the OHBM. See my poster #1108 <https://event.fourwaves.com/ohbm-2022/abstracts/28e92bad-192a-412c-b793-41ef7183ea36>  on “Age-related changes in connectivity and cross-frequency couplings in resting-state EEG”.

There will also be another poster on aa (#2107 <https://event.fourwaves.com/ohbm-2022/abstracts/ec17ea1c-2acb-468c-9789-301a94319250> ).

 

Let me know if you have any further questions.

 

Kind regards,

Tibor 

 

Auer, Tibor M.D. Ph.D.

Research Fellow

School of Psychology, Faculty of Health and Medical Sciences

University of Surrey, Guildford GU2 7XH

T.Auer at surrey.ac.uk

@TiborAuer

 

-----Original Message-----
From: fieldtrip <fieldtrip-bounces at science.ru.nl> On Behalf Of Jan Ostrowski via fieldtrip
Sent: Monday, May 30, 2022 10:10 AM
To: fieldtrip at science.ru.nl
Cc: Jan Ostrowski <j.ostrowski at uke.de>
Subject: [FieldTrip] How to do statistical analysis of connectivity data with FieldTrip?

 

Dear all,

 

First of all, I'd like to thank the community for its support with previous issues and the swift replies. It's been helping a lot!

 

Now, the actual problem at hand:

 

I'd like to statistically compare connectivity data corresponding to two conditions from my paradigm. For that, I have already computed the coherence from the preprocessed EEG data for every participant using ft_connectivityanalysis. This has been done separately for both conditions. The resulting structures look like this:

 

labelcmb: {1770×2 cell}

       dimord: 'chancmb_freq_time'

    cohspctrm: [1770×40×36 double]

         time: [1×36 double]

         freq: [1×40 double]

          dof: [1×40 double]

          cfg: [1×1 struct]

 

Now it seems that FieldTrip does not provide specialized functions to handle statistical comparisons of connectivity data (please correct me if I'm wrong!). So my approach so far consisted in defining a source channel, extracting the data from the corresponding combinations, and modifying the resulting structures in a way so that ft_freqgrandaverage and ft_freqstatistics could handle them (I used cluster-based permutation for statistical testing). However, this approach is not very elegant and quite prone to errors along the way, as one has to keep track of the modifications meticulously.

 

Is there any way of doing this kind of analysis with FieldTrip, that I have not found yet? If not, have any of you done this kind of analysis and can offer some advice on how to approach this? My goal is to statistically compare the connectivity for every channel combination in the data. I have been running that analysis on the whole time-frequency spectrum of my data. Also, how would one go about correcting for multiple testing in this instance?

 

Any advice or pointers are greatly appreciated!

 

Have a nice week!

Jan

 

--

Jan Ostrowski, M.Sc.

Department of Systems Neuroscience

University Medical Center Hamburg-Eppendorf Martinistr. 52 Building W34, Room 320b

D-20246 Hamburg, Germany

 

--

 

_____________________________________________________________________

 

Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg |  <http://www.uke.de> www.uke.de

Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________

 

SAVE PAPER - THINK BEFORE PRINTING

 

_______________________________________________

fieldtrip mailing list

 <https://mailman.science.ru.nl/mailman/listinfo/fieldtrip> https://mailman.science.ru.nl/mailman/listinfo/fieldtrip

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

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20220608/5a5513f6/attachment.htm>