Paulina Clara Dagnino

This study compares how psilocybin and escitalopram affect brain reconfiguration in MDD patients using whole-brain models and perturbation analysis.

This study compares brain responses to psilocybin and escitalopram in depression using the Fluctuation-Dissipation Theorem, finding distinct non-equilibrium dynamics and responder differentiation.

This study uses a thermodynamics-inspired framework to model brain dynamics across menstrual cycle phases, finding that model-based biomarkers outperform hormonal and traditional connectivity measures in phase prediction.

This study investigates the reconfiguration of brain hierarchy in schizophrenia using resting-state fMRI and finds increased hierarchical organization linked to clinical symptoms and diagnostic separation.

This paper uses computational models to simulate brain perturbations in disorders of consciousness, showing that transitions to healthy brain states can be achieved through targeted stimulation.

This study examines how brain network dynamics change across menstrual cycle phases and how age and progesterone levels influence these changes in healthy women.

This paper uses causal mechanistic modeling to show that meditation can be induced by artificial perturbations in specific brain networks, revealing distinct whole-brain dynamics during meditation compared to rest.

The paper uses resting-state EEG and machine learning to stratify responses to tDCS in healthy children, identifying electrophysiological profiles linked to positive or negative responses.