Consciousness and cognition
March 1, 2019
Charlotte Martial, Héléna Cassol, Vanessa Charland-Verville et al.
98 citations
Near-death experiences (NDEs) share consistent features across cultures, suggesting a common neurobiological basis. Analyzing semantic similarity between about 15,000 reports from 165 psychoactive substances and 625 NDE narratives, the NMDA receptor antagonist ketamine produced reports most similar to NDEs, followed by Salvia divinorum and serotonergic psychedelics like DMT. The similarity was driven by concepts of self and environmental consciousness, as well as therapeutic, ceremonial, and religious aspects of drug use. Ketamine may serve as a safe experimental model for NDE phenomenology, and endogenous NMDA antagonists might be released near death.
Frontiers in Integrative Neuroscience
November 1, 2018
Camila Sanz, Carla Pallavicini, Carla Pallavicini et al.
78 citations
Classic psychedelics produce a wide range of subjective effects influenced by the user's mindset and environment, and their common mechanism involves activation of the serotonin 5-HT2A receptor. The diversity of effects across different compounds may also stem from their binding affinities for multiple neurotransmitter receptors and transporters. By analyzing two binding affinity datasets alongside natural language processing of thousands of trip reports from Erowid's Experience Vaults, preliminary evidence showed that similarity in binding profiles across phenethylamines and tryptamines correlates with similarity in the language used to describe experiences.
Frontiers in Integrative Neuroscience
November 1, 2018
Camila Sanz, Carla Pallavicini, Carla Pallavicini et al.
78 citations
Classic psychedelics produce a wide range of subjective effects influenced by the user's mindset and environment, and their common mechanism involves activation of the serotonin 5-HT2A receptor. The diversity of effects across different compounds may also stem from their binding affinities for multiple neurotransmitter receptors and transporters. By analyzing two binding affinity datasets alongside natural language processing of thousands of trip reports from Erowid's Experience Vaults, preliminary evidence showed that similarity in binding profiles across phenethylamines and tryptamines correlates with similarity in the language used to describe experiences.
bioRxiv Preprint Server
March 11, 2021
Enzo Tagliazucchi, Federico Zamberlan, Federico Cavanna et al.
3 citations
preprint
Inhaled DMT, a classic psychedelic, produces brief but profound changes in consciousness that vary with context. Using wireless EEG and source imaging, researchers mapped changes in neural oscillations. Frontal and temporal theta power inversely correlated with feelings of unity and transcendence—hallmarks of mystical-type experiences. A machine learning model confirmed the robustness of these results. The findings align with the idea that pre-drug mindset influences subjective experience. Priming individuals to lower theta power before taking a serotonergic psychedelic might increase the likelihood of mystical-type experiences, potentially enhancing well-being and therapeutic outcomes.
Frontiers in neuroscience
January 1, 2018
Camila Sanz, Federico Zamberlan, Earth Erowid et al.
3 citations
correction
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bioRxiv Preprint Server
April 22, 2026
Nicolás Bruno, Federico Cavanna, Federico Zamberlan et al.
preprint
Spontaneous thoughts make up most of everyday inner experience, but studying them is difficult because traditional methods disrupt the natural flow of thinking or introduce motor artifacts. An alternative approach combined delayed verbal retrospective free reports with automated ratings from large language models. Twenty-two participants performed an eyes-closed free-thinking task, and their reports were evaluated on ten dimensions by four LLMs and human raters. Machine-learning models trained on EEG features achieved above-chance accuracy for predicting emotional valence. LLMs showed higher inter-rater agreement than humans, supporting their use for scalable annotation and suggesting that affective dimensions of spontaneous thoughts can be decoded from brain activity.
bioRxiv Preprint Server
September 2, 2021
Laura De la Fuente, Federico Zamberlan, Hernán Bocaccio et al.
preprint
The laws of physics are time-symmetric, but dissipative systems like the brain show a preferred temporal direction. Using a deep learning framework inspired by stochastic thermodynamics, researchers analyzed electrocorticography signals from non-human primates. Brain activity during conscious wakefulness could be distinguished from its time-reversed version with high accuracy, using both frequency and phase information. This ability was reduced during deep sleep and ketamine-induced anesthesia. Transitions between slow (≈20 Hz) and fast frequencies (> 40 Hz) mainly contributed to the temporal asymmetry seen during wakefulness. The findings suggest that a preferred temporal direction in neural activity correlates with conscious awareness, linking brain processes to the subjective experience of time's passage.