Robin Lester Carhart-Harris

This study shows serotonergic psychedelics like LSD and DMT delay resting state neurovascular coupling, affecting hemodynamic delays and functional connectivity in brain regions with serotonin receptors.

This study uses multivariate information decomposition to analyze how five psychedelics alter information processing in the human brain, revealing new insights into neural reorganization.

This study investigates how LSD alters brain dynamics using MEG and machine learning, finding increased peak frequencies, reduced oscillatory power, and changes in spectral complexity.

This study introduces vorticity-based metrics to analyze brain dynamics during DMT experiences, finding increased rotational organization and spatial heterogeneity associated with subjective intensity changes.

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

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.

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 uses MEG and connectome harmonics to show LSD reduces structure-function coupling in low-frequency brain activity, linking this to ego dissolution and altered network dynamics.

This study investigates brain changes after a single high-dose psilocybin administration, finding anatomical and functional alterations linked to improved well-being and cognitive flexibility.

This study investigates how five psychedelic drugs affect local brain synchrony and global functional connectivity using fMRI, finding disrupted local synchrony and enhanced global connectivity across all drugs.

This study uses computational models to simulate psychedelic treatments for disorders of consciousness, finding they shift brains closer to criticality, with varying effects based on patient state.

This study investigates the neurophysiological correlates of awe using EEG, finding increased complexity in neural signals during awe experiences, though with limited generalization to other datasets.

This study examines how LSD and MDMA affect striato-cortical connectivity in healthy subjects using resting-state fMRI, finding distinct changes in connectivity patterns between the striatum and other brain regions.

This paper applies whole-brain models to study state transitions in depression following psilocybin and escitalopram treatments, showing differential effects on susceptibility and drivability to healthier states.

This paper introduces graphTRIP, a geometric deep learning model that predicts antidepressant treatment response using neuroimaging and clinical data, identifying biomarkers and causal mechanisms.

This study uses multimodal imaging to show ketamine increases glutamate in the ACC and alters brain network connectivity, suggesting potential long-term neuroplastic effects.

This study uses network control theory to show DMT reduces brain control energy, correlates with EEG entropy and subjective experience, and links these effects to serotonin 2a receptor distribution.

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 study uses MEG data to show LSD reconfigures brain network frequencies and spatial distributions in specific frequency bands across different experimental conditions.

This study compares changes in linear and nonlinear functional connectivity in MDD patients after psilocybin or escitalopram treatment, finding distinct patterns between responders and non-responders.

This study examines how DMT affects brain oscillation criticality and links these changes to ego-dissolution experiences.

This study identifies brain substates and autonomic correlates during DMT administration, linking hippocampal and medial parietal deactivations to altered consciousness and sympathetic output.

This study examines how classical psychedelics alter brain hierarchy and complexity, finding they reduce hierarchy while increasing neural complexity.

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 study shows LSD reduces directed information hierarchy in the brain by balancing signal sending and receiving, as measured by MEG data.

This paper investigates the long-term effects of psilocybin on fronto-striatal-thalamic circuit dynamics and connectivity using longitudinal fMRI data and computational modeling.

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.