Angus B. A. Stevner

This study uses fMRI to analyze functional brain dynamics during music listening in adolescents, finding increased engagement of the orbitofrontal cortex reward system.

This study uses MEG to show that weaker mother-infant bonding in first-time mothers is associated with reduced brain responses to infant cries in specific regions.

This paper investigates how data characteristics and model parameters affect the ability of time-varying functional connectivity models to detect temporal changes in fMRI data.

This study identifies a low-dimensional intrinsic manifold underlying human brain dynamics across wakefulness and sleep, achieving 96% accuracy in decoding brain states.

The paper investigates brain dynamics during musical pattern recognition using MEG, finding increased activity and connectivity in a widespread network over time.

This study identifies reduced structural connectivity in Insomnia Disorder using whole-brain network analysis, highlighting left insula and fronto-subcortical connections as key features.

This study uses whole-brain computational modeling to analyze how deep brain stimulation affects brain dynamics in Parkinson’s disease patients, finding it shifts brain states closer to healthy dynamics.

The paper develops a whole-brain model to analyze MEG data, finding that multiple frequency generators better explain resting-state envelope correlations than single-frequency models.