Lionel Barnett

This study uses dynamical independence to analyze how different anaesthetics affect emergent neural dynamics in the human brain, revealing drug-specific changes in structure and organization.

This paper introduces Dynamical Independence (DI) to identify emergent macroscopic dynamics in a biophysical neural model by analyzing the balance between integration and segregation.

This study uses fMRI and MEG to investigate how LSD affects DLPFC connectivity and relates to ego dissolution and emotional arousal in healthy humans.

This paper introduces CSER, a new complexity estimator for neural signals that overcomes limitations of LZ by providing spectral decomposition and higher temporal resolution, revealing gamma band dominance and early entropy changes in consciousness states.

This study examines changes in directed functional connectivity during the psychedelic state using MEG and finds a general decrease in directed connectivity for LSD, psilocybin, and low-dose ketamine.