Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals.

ABSTRACT: The brain consists of a vastly interconnected network of regions, the connectome. By estimating the statistical interdependence of neurophysiological time series, we can measure the functional connectivity (FC) of this connectome. Pearson's correlation (r _P) is a common metric of coupling in FC studies. Yet r _P does not account properly for the non-stationarity of the signals recorded in neuroimaging. In this study, we introduced a novel estimator of coupled dynamics termed multiscale detrended cross-correlation coefficient (MDC₃). Firstly, we showed that MDC₃ had higher accuracy compared to r _P and lagged covariance using simulated time series with known coupling, as well as simulated functional magnetic resonance

SUBMITTER: Stylianou O 

PROVIDER: S-EPMC11599215 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature