I am trying another new way! first i import source results and scouts from brainstorm to matlab,and then i choose source signal matrix from source results according to the scouts i want. so i can get the time-series scouts(i choosed one-vertice scout) source signal ,and finnally i use the fieldtrip package to compute the plv between two scouts…i’m not pretty sure this can work theoretically,because the source signal from brainstorm have a series of transformation such as z-transfrom,filter…so i want to ask your advice,what do you think?
This should work: if any z-score is applied, it standardizes the amplitude of the time series and does not affect the phase of the signals, hence no effect on PLV.
I am still surprised that you get these aberrant 1 values Brainstorm’s GUI.
thank you! the screenshot shows result when i don't choose the item 'keep time information ,and......'，seems normal ,but there's no time-series information.
And when i choose 'keep time information,and......',aberrant and nightmare 1 values shows like in the image
and this time i choose the item 'keep time information......',and item'save individual results',same thing happens
Hi,today i use the fieldtrip package to do time-series plv computation , get the same annoying result as brainstorm.i also tried compute plv between sensors,the whole procedure is based on fieldtrip,the result is normal.when computting plv between sensors,first I import a structure data consisting of 137trials and other information,and then frequency analysis ,after that， do connectivity analysis ,finally plot the result.I notice that when I compute plv based on source level ,I extract source signal from average source result,that average source signal has just one trial long signal,so my question is: should I compute plv before average source signal by extracting every signal trial scout signal or after average source signals like now?
I 'm not sure I make it clear.thankyou for your patience sincerely！
You indeed need to keep all 137 trials so that the PLV statistics is properly computed across trials and the temporal dimension is preserved. This would explain why you have been finding PLV values of 1 all along. Please keep me posted.