Connectivity data with PLV and PTE

[yuluo]

Hello expert,

I did whole-brain connectivity analysis using PLV and PTE algorithms with D-K atlas. The D-K atlas divided the brain into 68 * 68 regions. I got the data, in PTE: 4624 * 1 * 6, I know that 4624=68 * 68, 6 refers to 6 frequency bands. However, in the PLV data, it is 2346 * 1 * 6. I donnot know why it is 2346 rather than 4624? Could you please kindly help me interpret the PLV data(2346 * 1 * 6)?

Thank you so much,

Yu

[Francois]

The PLV measure is symmetrical, therefore only half of the values are saved in the file.
See these forum posts:

PTE: How is the connectivity matrix stored?

Hi Sebastian, To get the connectivity matrix correctly formatted, you can do the following: Read the file timefreq_connect…mat into the variable TfMat, or right-click > File > Export to Matlab > “TfMat” R = bst_memory(‘GetConnectMatrix’, TfMat); The matrix R is the connectivity matrix [signalsA x signalsB x Frequencies] The frequency bins are described in the TfMat.Freqs: R(:,:,1) is frequency TfMat.Freqs(1) For details on the algorithm, see directly the process function process_compress_sym…

http://neuroimage.usc.edu/forums/showthread.php?1796-How-the-Corr-matix-is-saved

[yuluo]

@Francois

The PLV measure is symmetrical, therefore only half of the values are saved in the file.
See these forum posts:

Great! Thank you so much, Francois!