Felix Siebenhühner

The paper identifies five distinct depression phenotypes using MEG-oscillation functional connectivity and low-dimensional brain-symptom associations.

This study investigates the relationship between delta-band synchrony and beta-gamma bistability in sleep-related epilepsy, finding they synergistically contribute to seizure generation.

CROCOpy is a Python toolbox for analyzing neuronal oscillations and functional connectivity metrics in electrophysiological data.

The paper uses a computational model of delay-coupled oscillators to match MEG functional connectivity patterns, finding that meta-stable dynamics with small delays explain observed oscillatory coupling.

The paper examines how node centrality in MEG resting-state networks relates to neurotransmitter receptor and transporter densities across different frequency bands.

This study compares Biophysical Network Models (BNMs) with different delay specifications to determine their role in generating alpha-band phase synchronization networks in MEG data.

The paper shows that individual differences in brain synchronization levels correlate with power-law long-range temporal correlations, with variations in healthy and epileptic brain regions.

This study shows that COMT and BDNF genetic variants affect neuronal oscillation synchronization and dynamics in humans.

This paper identifies critical-like bistable dynamics in the resting-state human brain, showing their functional and clinical significance across frequency bands.

This study investigates how biophysical network models can replicate MEG-derived phase-synchronization networks, finding that conduction delays do not improve the match but structural connections and Wilson-Cowan dynamics do.

The paper identifies genuine cross-frequency coupling networks in human resting-state brain activity using MEG and SEEG data, showing distinct mechanisms for coupling oscillations across frequencies.

This paper introduces hyperedge bundling to reduce spurious interactions in MEG/EEG source connectivity analyses, improving the accuracy of functional connectivity networks.