Thank you for your fast reply! At the same time, my hopes are crushed.
I’m working with a disease that causes alternation in the resting state EEG pattern. In the literature, however, it has not yet been possible to make a clear statement as to which alternation takes place in which brain region. In addition, the experience of the disease can alter a lot between individuals, which results in quiet a heterogeneous EEG pattern. Therefore, I think the approach of using not only the patient but also the electrodes as random effects might be more appropriate. But I haven’t found anything in the literature yet. In addition, I use a questionnaire which records the distress of this disease (and hopefully is mirrored in the EEG pattern).
The dependent variable Power contains the EEG measure. I am interested if this measure depends on distress (questionnaire – continuous variables) and FrB (8 frequency bands, factorial), as well as duration of the disease. Random effects are PatID (participants) and Electrodes (65)
m1 <- mixed(Power ~ FrB * Distress + Duration + (FrB | PatID) + (1 | electrodes), data, method=”S”)
As far as I experienced it, other studies are working with electrode clusters (and not single electrodes). This would result in my opinion in:
m2 <- mixed(Power ~ Cluster * FrB * Distress + Duration + (FrB + Cluster | PatID), data, method=”S”)
What do you think?
