Robin Lester Carhart-Harris

This study shows that DMT alters connectome harmonics, increasing their repertoire entropy and correlating with subjective experience intensity over time.

This paper models the transient brain state changes induced by DMT using a time-dependent whole-brain model and fMRI data, showing heightened reactivity in specific brain regions correlated with serotonin receptor density.

This study examines how external stimuli modulate brain entropy during a psychedelic experience, finding that eye closure enhances entropy changes and that video stimuli disrupt the relationship between brain activity and subjective experience.

The paper identifies brain regions and networks predictive of response to psilocybin therapy for treatment-resistant depression using whole-brain modeling and dynamic sensitivity analysis.

This paper applies a statistical complexity measure to human neurophysiology data to differentiate states of consciousness, finding it increases with psychedelic substances and differentiates sleep stages.

This paper uses Bayesian methods to analyze heart rate dynamics during psychedelic experiences, finding increased entropy and variability linked to subjective and neural effects.

HADES framework analyzes spacetime activity patterns in the brain, showing reduced low-frequency harmonic modes during DMT-induced states, indicating changes in functional hierarchy.

This study shows that psilocybin therapy increases low-frequency brain responses to music in patients with treatment-resistant depression, correlating with subjective drug effects.

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 uses Ising models and algorithmic complexity to analyze fMRI data and finds LSD increases brain complexity and moves it further from criticality.

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

This study investigates how LSD affects reinforcement learning in humans by examining changes in learning rates, reinforcement sensitivity, and exploratory behavior during a probabilistic reversal learning task.

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.

This study compares neural dynamics changes in schizophrenia and psychedelic-induced states using M/EEG data, finding distinct patterns in information transfer and Bayesian inference alterations.

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

This study shows that LSD and psilocybin reduce hierarchical cortical organization by flattening connectivity gradients, supporting a mechanistic model of the psychedelic state.

The paper identifies the edge-of-chaos critical point as the state of cortical dynamics during conscious states and shows it is disrupted during unconsciousness.

This paper uses a whole-brain computational model to simulate perturbations under LSD and finds increased dynamical complexity and recovery time, with strongest effects in resting state networks.

This paper develops a mechanistic model explaining how 5HT2A-R activation increases neural entropy in the brain, showing non-uniform regional effects linked to anatomical connectivity.

This study investigates how DMT alters cortical travelling waves during a resting state, finding reduced backward and increased forward waves, supporting a model of altered precision-weighting of priors.

This study examines the neural and subjective effects of inhaled DMT in natural settings using EEG and psychometric questionnaires, finding changes in brain oscillations and correlations with mystical experiences.

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 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.

This study examines how IV DMT affects EEG brain activity, finding reduced alpha/beta power and increased signal diversity, with delta/theta activity correlating with peak subjective experience.

This study examines how psilocybin alters brain dynamics by analyzing functional connectivity states in fMRI data, finding enhanced global synchronization and reduced fronto-parietal control.

This study uses connectome-harmonic decomposition to analyze how LSD alters brain dynamics, finding frequency-selective changes in energy and power, and a non-random expansion of active brain states.

This study investigates how LSD affects brain activity during music listening, finding increased cortical and subcortical activity linked to timbral complexity and enhanced emotional responses.