Topic: phase-autocorrelation function (pACF)

The concept of oscillations is fundamental in the field of neural data analysis. Oscillations are thought to reflect brain states in different cognitive or physiological states and are essential to higher-order features of neural dynamics, such as functional connectivity or long-range temporal correlations. Neuronal oscillations are typically measured using power spectral methods that quantify signal amplitude but not the rhythmicity or 'oscillatoriness' per se.Here we present a new method, the phase-autocorrelation function (pACF), for quantifying rhythmicity directly. We applied pACF to data