Emmanuel Andreas Stamatakis

The paper quantifies consciousness states using entropy across pharmacological and clinical fMRI data, finding a shared entropic axis spanning from low-entropy anaesthesia to high-entropy psychedelic and schizophrenia states.

This study shows that cognitive co-activation dominates fMRI synchrony in the awake brain but is replaced by anatomical and molecular constraints during consciousness perturbations.

This paper identifies neural correlates of individual and shared experiences using fMRI data from naturalistic storytelling under varying anaesthesia levels.

This study investigates thalamic nuclei involvement in consciousness loss during anaesthesia and disorders of consciousness using functional neuroimaging, identifying distinct connectivity patterns in specific nuclei.

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

The paper examines the development of small-world brain network architecture in full-term and preterm infants, finding that preterm infants show underdeveloped networks before term-equivalent age.

The paper examines functional connectivity gradients in the posterior precuneus during altered states of consciousness, finding continuous connectivity patterns that flatten in these states.

This paper proposes a synergistic global workspace model of consciousness using network science and information theory, showing that loss of consciousness correlates with reduced information integration in specific brain networks.

This study shows that dissonant music affects early visual processing by engaging the primary visual cortex through auditory-visual interactions during film viewing.

This study uses connectome harmonic decomposition to show that ketamine-induced unresponsiveness increases localised harmonics, similar to psychedelic states, unlike traditional sedation which increases global harmonics.

This study shows that general anaesthesia reduces the uniqueness of human brain connectivity both between individuals and across species.

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

The paper evaluates 576 functional connectomics pipelines to identify those that minimize spurious discrepancies and motion confounds while being sensitive to inter-subject and experimental effects.

This study quantifies neural emergence in brain injury patients using functional MRI and shows reduced emergent dynamics correlate with structural connectome disruptions.

The paper identifies harmonic patterns of structure-function dependence in the human connectome that correlate with different states of consciousness.

This paper shows that LSD and psilocybin reduce brain control energy and increase entropy by flattening the brain's energy landscape, using network control theory and PET data.

The paper examines dynamic brain state transitions in Parkinson's disease patients with visual hallucinations, finding altered temporal dynamics and links to neurotransmitter systems.

This study maps how pharmacological drugs alter brain function by linking neurotransmitter receptor distribution with drug-induced changes in functional MRI connectivity.

The paper introduces an information decomposition framework to identify synergistic and redundant neural interactions, showing synergistic activity underlies human complex cognition and evolutionary brain expansion.

This study investigates how small world topology dynamics scale with decreasing levels of awareness, finding that subcortical areas show higher predictive power for awareness levels.

This study identifies a functional division in the precuneus that connects internally and externally oriented networks, modulated by task difficulty.

This study examines fluctuations in neural complexity during wakefulness using MEG and fMRI, finding links to conscious level and cognitive performance.

This study evaluates how different data-processing pipelines affect the reproducibility of brain network topologies across repeated scans, identifying reliable pipeline combinations.

This study uses resting-state fMRI and a deep learning model to predict task-related activation in DOC patients, finding that frontoparietal control network connectivity is key for volitional capacity classification.

The paper identifies higher-order sensorimotor brain hubs that correlate with consciousness levels across different unconscious states using resting-state fMRI data.

This study identifies common neural mechanisms underlying anaesthesia and disorders of consciousness by simulating brain dynamics with a whole-brain model incorporating GABA receptor density and structural connectomes.

This study identifies distinct intrinsic connectivity patterns in MDD and GAD using resting-state fMRI, highlighting disorder-specific neural markers.

This paper shows that LSD and psilocybin increase the fractal dimension of brain activity in both spatial and temporal domains, suggesting a shift toward criticality in neural systems.

This study investigates how infraslow frequencies process information through their temporal dynamics using resting and task state fMRI data.

The paper measures fractal dimension in brain activity to predict consciousness severity in disorders of consciousness, finding lower fractal dimensions correlate with reduced consciousness.