Leor Roseman

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 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 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 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 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 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 study investigates how midazolam affects memory and subjective experience of psilocybin, suggesting memory plays a role in its therapeutic effects.

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.

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.

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.

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.

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 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 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.