Béchir Jarraya

The paper uses multivariate information theory to analyze brain states and finds that higher-order interactions distinguish wakefulness, anaesthesia, and recovery.

The paper investigates how vlPFC encodes visual information in two stages during natural vision, showing an early coarse estimate followed by a rich representation.

The paper uses a whole-brain model of an anesthetized macaque to simulate and restore consciousness through thalamic stimulation, showing how brain states transition during loss and recovery of consciousness.

This study examines how sevoflurane anesthesia affects neural activity in primate cortex, revealing non-uniform Up/Down state dynamics and differential sensitivity between prefrontal and parietal regions.

This study shows anaesthesia disrupts lateral signal propagation in the prefrontal cortex while sparing the posterior parietal cortex, suggesting a mechanism for loss of consciousness.

This study profiles neural dynamics across species during anaesthesia, finding conserved dynamical changes and linking them to molecular mechanisms.

This study uses fMRI to compare neural responses to reversible symbolic associations in humans and monkeys, finding humans show surprise in both directions while monkeys only in the learned direction.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

This study identifies network temporal dynamics as a reliable signature of consciousness levels during anesthesia using fMRI data from macaques.

This study shows that prefrontal cortex transcranial direct current stimulation alters brain dynamics in both awake and anesthetized non-human primates, affecting functional connectivity patterns and structure-function relationships.

This study shows that macaque prefrontal cortex encodes visual sequences by separating specific image content from abstract sequential structure without task demands.

The paper investigates how consciousness states affect brain structure-function organisation using anaesthesia and deep brain stimulation in non-human primates.

This study uses fMRI to analyze brain activity in monkeys during wakefulness and anesthesia, identifying macroscopic properties and network changes associated with loss of consciousness.

This study shows that disruption of cortical hierarchy, measured by Intrinsic Ignition, is a new signature of consciousness loss during anesthesia.

The paper uses a graph-convolutional neural network to predict brain states from rsfMRI data in nonhuman primates, showing it can detect cortical signatures of consciousness.