Maria Rubega

Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

The paper introduces a linear adaptive filter that uses structural connectivity priors to improve dynamic and directed functional connectivity estimation in electrophysiological data.

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

This paper introduces a new Kalman filter algorithm, STOK, for modeling dynamic brain networks and shows it outperforms classical methods in tracking time-varying connectivity patterns.

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

This paper introduces a method using network harmonics to track fast EEG dynamics during a face detection task with subsecond resolution.

Altered directed functional connectivity of the right amygdala in depression: high-density EEG study

This study uses high-density EEG to find altered directed functional connectivity in the right amygdala of depression patients compared to healthy controls.

Using structural connectivity to augment community structure in EEG functional connectivity

The paper uses white matter structural connectivity to improve EEG functional connectivity by smoothing signals in a graph space derived from structural data, increasing resemblance to fMRI connectivity.