how to visualize the EEG functional connectivity data with circularGraph?

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Elaine 2024-10-11

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评论： Elaine 2024-10-23，15:29

Hi everyone,

Currently I have completed the functional connection analysis of my EEG data. PLI was calculated among the 32 channels for 22 subjects with 2 conditions. the difference of PLI between 2 conditions was tested using NBS. my script for visualization is attached to this post, which is not pretty and clear. So I want to display the functional connectivity data and significant stats with circularGraph.m to get the graph like the below one.

I have read the documentation for circularGraph.m(https://github.com/paul-kassebaum-mathworks/circularGraph/tree/master), but there are still many errors that I can't handle. Have anyone used this function to visualize the EEG functional connectivity data and stats? could you please help me modify the attached script with circularGraph.m?

Thanks in advance.

Elaine

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Answer 1

William Rose 2024-10-17

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@Elaine,

See if your issues have been addressed among the 36 existing Discussions on the File Exchange page, here (click the discussions tab). Start a new discussion, if necessary.

Or

Raise the issue on github, here: click the green "New Issue" button and enter your question.

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William Rose 2024-10-18

在 MATLAB Online 中打开

@Elaine,

You asked for help using circularGraph(), and you said you were getting a lot of errors. I assumed you meant you were getting errors when you tried to use circularGraph(). But I assumed wrongly. Your script calls topoplot_connect(), which is from a different File Exchange submission by a different author. Your script does not call circularGraph().

The code below makes simulated PLI data and uses circularGraph to make a plot like the one you requested. As you know, the PLI data for a 32-electrode data set is a symmetric 32x32 array, with zeros on the diagonal, and other values between 0 and +1. You will use the PLI data you have computed.

I have attached the functions from circularGraph on the File Exchange.

N=32;  % number of electrodes
a=triu(rand(N),1);
pli=a+a';  % simulated PLI data

Electrode labels, for the plot:

myLabels={'F8', 'FC5','FC1','FC2','FC6','M1', 'T7', 'C3',...
          'Cz', 'C4', 'T8', 'M2', 'CP5','CP1','CP2','CP6',...
          'P7', 'P3', 'Pz', 'P4', 'P8', 'POz','O1', 'Oz',...
          'O2', 'Fp1','Fpz','Fp2','F7', 'F3', 'Fz', 'F4'};

Make the circular graph:

circularGraph(pli,'Label',myLabels);

The plot above is a completely-connected circular plot, because there is a non-zero value for every pair of points. There seems to be a bug for connected points around 5 to 6 o'clock on the circle. To make it more interesting, let's only plot the connections where PLI exceeds a threshold.

thresh=0.95;

pli1=pli.*(pli>thresh);

figure

circularGraph(pli1,'Label',myLabels);

This plot looks like the example plot in your original request.

William Rose 2024-10-22，23:56

@Elaine, you're welcome. Good luck with your research. You can accept the answer if you wish.

Elaine 2024-10-23，15:29

Accepted! Thanks again for your kind help and support.

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