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Dear Fieldtrip community,</div>
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I am writing because I am trying to compute for the first time the theta-beta phase-amplitude coupling using Fieldtrip.</div>
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After getting the Fourier spectrum with ft_freqanalysis, I computed the modulation index (Tort et al., 2010) <span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;">implemented<span> in ft_crossfrequencyanalysis. </span></span></div>
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<span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span>I still have a lot of doubts about this analysis and I really hope someone could be so kind to help me.</span></span></div>
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<span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span>Here are some questions:</span></span></div>
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<li><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span> What is the minimum epoch length required to compute PAC (is 1s enough to compute the phase of 4 Hz)? <br>
</span></span></span></li><li style="display:block"><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span><br>
</span></span></span></li><li><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span>Is this computation suitable for tasks with a strong event-related synchronization? I read that ERPs should be subtracted from this analysis
to avoid confounding effects but here I have reaching movements.</span></span></span></li><li style="display:block"><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span><br>
</span></span></span></li><li><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span>When computing PAC with Fieldtrip, I get the same value for the entire frequency band of the phase (i.e. same number from 4 to 8 Hz). This is
d<span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;">espite the resulting MI matrix being N.channel*N.freqphase*N.freqAmplitude.</span></span></span></span></li><li style="display:block"><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span>Since I would like to explore which theta frequency phase is mostly coupled with the higher frequency power, I would like
to know why I get the same values and how to fix this as I could not find any configuration about averaging frequencies (e.g. cfg.averageoverfreq = 'yes'/'no').</span></span></span></li><li style="display:block"><span><span style="color: rgb(0, 0, 0); background-color: rgb(255, 255, 255); display: inline !important;"><span><br>
</span></span></span></li><li>If I manage to compute a meaningful MI, how do I statistically test whether it is significant? </li><li>Last but not least, is there a physiological or computational explanation for the impossibility of computing PAC on different electrodes?</li></ol>
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<p style="margin:0in 0in 0.0001pt">Thank you very much for taking the time to read my questions. I really hope to get some answers from you.</p>
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<p style="margin:0in 0in 0.0001pt">Best wishes.</p>
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<p style="margin:0in 0in 0.0001pt">Elisa </p>
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