Carla Pallavicini

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 tracks dose-dependent affective dynamics during DMT's acute effects using multimodal physiological signals and phenomenological reports.

This study uses intersubject correlation of naturalistic fMRI data to show reduced emotional neural synchrony in schizophrenia, particularly in the amygdala, and increased synchrony in visual and frontal regions.

This study uses large language models to annotate spontaneous thoughts from verbal reports and decodes their emotional valence from EEG data.

This study investigates the synergistic effects of psilocybin and compassion imagery on cognitive absorption, self-compassion, and brain network activity using fMRI and self-report measures in 105 participants.

The paper introduces SCD to analyze spatial influences on cortical functional specialization, revealing a dominant gradient and competitive suppression from other brain regions.

The paper uses predictive modeling to show that stronger oral reading ability correlates with closer proximity between visual and association cortex in the brain.

This study examines the neural and subjective effects of medium- and high-dose DMT using EEG and experience tracking, finding that higher doses induce more intense experiences but less strong neural complexity correlations.

This study examines how psilocybin affects visual salience processing by analyzing eye-tracking and EEG data during natural scene perception.

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 compares machine learning models using functional connectivity and its derivatives to predict schizophrenia, finding that raw connectivity outperforms low-dimensional features.

The paper maps brain states of reduced consciousness into a low-dimensional space using whole-brain modeling and deep learning, revealing an orderly trajectory from wakefulness to brain injury.

This paper introduces a framework using turbulent dynamics to differentiate brain states by analyzing neuroimaging data with model-free and model-based measures.

This study shows that 20 Hz tACS selectively impairs objective target visibility in a metacontrast masking task, suggesting a causal link between beta oscillations and visual perception.

The paper shows that neural activity during conscious wakefulness has a preferred temporal direction, distinguishable from inverted signals, while this asymmetry is reduced during sleep and anesthesia.

This study investigates the effects of microdosing psilocybin mushrooms using a double-blind placebo-controlled design and finds that active doses produce more intense subjective effects, with mixed results on other measures.

The paper develops a framework to distinguish brain states by their stability and reversibility, using whole-brain models to analyze consciousness levels and their response to perturbations.

The paper investigates how baseline theta oscillation power predicts mystical-type experiences induced by DMT and suggests ways to enhance these experiences.

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.