Roberto Domingo Pascual-Marqui

Linear causal filtering: definition and theory

This paper introduces a framework for linear causal filtering using multivariate autoregressive modeling to estimate directional causal information flow from non-directional association measures.

Pervasive false brain connectivity from electrophysiological signals

The paper identifies biases in brain connectivity inference from electrophysiological signals due to noise and introduces a method to correct for these biases.

Measuring Granger-causal effects in multivariate time series by system editing

The paper introduces a method to measure Granger-causal effects in multivariate time series by comparing system dynamics before and after node deletion.

A comparison of bivariate frequency domain measures of electrophysiological connectivity

This paper compares bivariate frequency domain measures of electrophysiological connectivity, showing LagCoh and sImCov outperform other methods under mixing and non-mixing conditions.

Comparing EEG/MEG neuroimaging methods based on localization error, false positive activity, and false positive connectivity

The paper compares EEG/MEG methods for localization error, false positive activity, and false positive connectivity, finding that sLORETA and eLORETA have exact localization while others perform worse.

Measures of time series coupling based on generalized weighted multiple regression

This paper introduces new coupling measures for analyzing cortical brain signals by generalizing weighted multiple regression models and defining inhibitory coupling to capture inverse relationships in neural activity.

The Cross-Frequency Mediation Mechanism Of Intracortical Information Transactions

The paper quantifies a cross-frequency mediation mechanism in cortical information transactions using statistical mediation analysis on Fourier-transformed neuronal signals.