Jonathan Wirsich

The paper examines multi-timescale functional connectivity dynamics in the brain using EEG and fMRI data, finding spatial convergence but temporal divergence across different FC timescales.

This study examines the consistency of correlations between fMRI resting-state networks and EEG band-power across different datasets and conditions, finding consistent correlations with variations based on RSN, frequency-band, and HRF delay.

This study evaluates the safety and EEG data quality of multi-band fMRI compared to single-band fMRI, finding reduced heating and acceptable EEG quality with the multi-band protocol.

This study shows that EEG and fMRI connectomes are reproducibly correlated across different simultaneous EEG-fMRI setups, including varying magnetic field strengths and electrode densities.

The paper quantifies changes in dynamic functional connectivity (dFC) speed after sleep deprivation and finds that modular dFC speed correlates with task-specific cognitive performance declines.

The paper shows that EEG and fMRI connectivity dynamics are linked, with synchronization in all oscillation bands reconfiguring at infraslow speeds and correlating with fMRI connectivity changes.

This paper identifies two spatially independent functional connectivity components across EEG and fMRI data, revealing linked but distinct connectivity dynamics across timescales.