Jan Fousek

This study examines neuronal avalanches in Lewy body diseases, finding increased brain dynamics flexibility linked to clinical symptoms and degeneration of the locus coeruleus.

This study uses a whole-brain model to show that cholinergic heterogeneity enhances synchronization and information flow in brain dynamics.

The paper quantifies consciousness using spatiotemporal brain complexity metrics from resting-state and stimulation data, showing agreement with perturbational complexity in a more accessible paradigm.

The paper uses computational modeling to explore how theta burst stimulation affects brain oscillations and plasticity through calcium-dependent mechanisms, revealing resonance with alpha rhythms and implications for personalized treatment.

This paper introduces Virtual Brain Twins (VBTs) as personalized digital brain models that integrate structural and functional data to improve understanding of brain function and support personalized treatment.

The paper uses Brain Network Modeling to analyze how anatomical constraints shape resting state dynamics and identify degeneracy patterns in the human brain.

This paper uses computational modeling and dynamical systems analysis to show that symmetry breaking in brain connectivity generates the resting state manifold, producing key features observed in empirical data.

This paper develops a causal inference framework to link structural connectivity and brain function in aging, showing increased structural modulation in poor cognitive performers.

This paper identifies neuronal cascades as a mechanism underlying resting-state brain dynamics, showing they produce BOLD co-fluctuations and stable brain states in mice and humans.