I am using amplitude envelope correlation (AEC) to estimate frequency band-specific connectiviy, and I would need some help to understand the output matrix. From my understanding, AEC is a correlation that works like a pearson's r, resulting in a value between -1 and 1. However, the output of my data gives what would be very low correlations (up to "0.07").
Is that what you would expect from AEC analysis? I am also asking this because looking at the following paper from which I believe this method is derived (if you can confirm): Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012). Large-scale cortical correlation structure of spontaneous oscillatory activity. Nature neuroscience, 15(6), 884-890.
Correlation that go up to 0.07 are said to be "high correlation". So is the way to interpret it different from the r statistic 0.1/0.3/0.5 effect size or is that because it's a high correlation in the context of/relatively to brain oscillation connectivity?