<p>Partial directed coherence grand-averages across all the subjects shows the detection of significant information flow in the EEG to EMG direction (A and B) and the EMG to EEG direction (C and D) over time for isometric (A and C) and spring (B and C) conditions.</p
<p>Example of multivariate (GPDC) coherence spectra matrix, related to the abdominal respiration sig...
Introduction: An Electrocardiogram (ECG) is graphical tracing of electrical signals generated by hea...
Quantification of functional connectivity in physiological networks is frequently performed by means...
One major challenge in neuroscience is the identification of interrelations between signals reflecti...
Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate syst...
This study aimed to develop a time-frequency method for measuring directional interactions over time...
Partial Directed Coherence (PDC) is a powerful estimator of effective connectivity. In neuroscience ...
<p>The most left graphs (A,E,I) depict the coherence spectra within the 15–35 Hz frequency range for...
<p>In this graph, when coherence was below significance level, coherence values were reported equal ...
Partial coherence measures the linear relationship between two signals after the influence of a thir...
A problem of great interest in real world systems, where multiple time series measurements are avail...
Functional connectivity is of central importance in understanding brain function. For this purpose, ...
Stroke is a serious global health care problem for which rehabilitation is the main mode of therapy....
A concentric spheres model was used in an earlier paper to estimate the effects of volume conduction...
This paper describes the rigorous asymptotic distributions of the recently introduced partial direct...
<p>Example of multivariate (GPDC) coherence spectra matrix, related to the abdominal respiration sig...
Introduction: An Electrocardiogram (ECG) is graphical tracing of electrical signals generated by hea...
Quantification of functional connectivity in physiological networks is frequently performed by means...
One major challenge in neuroscience is the identification of interrelations between signals reflecti...
Partial directed coherence is a powerful tool used to analyze interdependencies in multivariate syst...
This study aimed to develop a time-frequency method for measuring directional interactions over time...
Partial Directed Coherence (PDC) is a powerful estimator of effective connectivity. In neuroscience ...
<p>The most left graphs (A,E,I) depict the coherence spectra within the 15–35 Hz frequency range for...
<p>In this graph, when coherence was below significance level, coherence values were reported equal ...
Partial coherence measures the linear relationship between two signals after the influence of a thir...
A problem of great interest in real world systems, where multiple time series measurements are avail...
Functional connectivity is of central importance in understanding brain function. For this purpose, ...
Stroke is a serious global health care problem for which rehabilitation is the main mode of therapy....
A concentric spheres model was used in an earlier paper to estimate the effects of volume conduction...
This paper describes the rigorous asymptotic distributions of the recently introduced partial direct...
<p>Example of multivariate (GPDC) coherence spectra matrix, related to the abdominal respiration sig...
Introduction: An Electrocardiogram (ECG) is graphical tracing of electrical signals generated by hea...
Quantification of functional connectivity in physiological networks is frequently performed by means...