Coupling among Electroencephalogram Gamma Signals on a Short Time Scale

Abstract EN

An important goal in neuroscience is to identify instances when EEG signals are coupled.

We employ a method to measure the coupling strength between gamma signals (40–100 Hz) on a short time scale as the maximum cross-correlation over a range of time lags within a sliding variable-width window.

Instances of coupling states among several signals are also identified, using a mixed multivariate beta distribution to model coupling strength across multiple gamma signals with reference to a common base signal.

We first apply our variable-window method to simulated signals and compare its performance to a fixed-window approach.

We then focus on gamma signals recorded in two regions of the rat hippocampus.

Our results indicate that this may be a useful method for mapping coupling patterns among signals in EEG datasets.