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Rubén Herzog

Centro Interdisciplinario de Neurociencia de Valparaíso, Universidad de Valparaíso, Pje Harrington 287, 2360103, Valparaíso, Chile. ruben.herzog@postgrado.uv.cl.

7 papers in the library · 134 citations · publishing 2020-2026

Papers

RETRACTED ARTICLE: A mechanistic model of the neural entropy increase elicited by psychedelic drugs

Scientific Reports October 20, 2020 Rubén Herzog, Pedro A. M. Mediano, Fernando E. Rosas et al. 60 citations

Psychedelic drugs such as lysergic acid diethylamide, which activate the serotonin 2A receptor, produce profound changes in consciousness and increase entropy in spontaneous neural activity. This study provides the first model-based explanation for that entropy increase by extending a whole-brain model of serotonergic neuromodulation. The model reproduced the overall entropy rise seen in previous experiments. Entropy changes were not uniform: some brain regions showed increased entropy while others showed decreases, indicating a topographical reconfiguration driven by receptor activation. At the whole-brain level, this reconfiguration was not well explained by receptor density but was closely related to the brain's anatomical connectivity topology.

A whole-brain model of the neural entropy increase elicited by psychedelic drugs.

Scientific reports April 17, 2023 Rubén Herzog, Pedro A M Mediano, Fernando E Rosas et al. 51 citations

Psychedelic drugs such as LSD, which activate the serotonin 2A receptor, produce profound changes in consciousness and are linked to increased entropy in spontaneous brain activity. This study provides the first model-based explanation for that entropy increase by extending a whole-brain model of serotonin neuromodulation. The model reproduced the overall rise in neural entropy seen in prior experiments. Entropy increased across all brain regions, with the largest effects in visuo-occipital areas. At the whole-brain level, this reconfiguration was not well explained by the density of serotonin 2A receptors but was closely related to the topological properties of the brain's anatomical connectivity.

High-order brain interactions in ketamine during rest and task: a double-blinded cross-over design using portable EEG on male participants.

Translational psychiatry July 27, 2024 Rubén Herzog, Florentine Marie Barbey, Md Nurul Islam et al. 13 citations

Ketamine increases redundancy in brain dynamics—copies of the same information retrievable from three or more electrodes—most notably in the alpha frequency band, as measured by portable low-density EEG. In a double-blind crossover trial with 30 male adults, racemic ketamine compared to saline infusion produced greater redundancy during resting state, linked to dissociative shifts in consciousness. During an auditory oddball task, the effect was stronger for predictable standard stimuli than for deviant ones. Associations between ketamine's high-order interactions and experiences of derealization were observed, suggesting these measures capture pharmacological alterations in consciousness.

A dream EEG and mentation database.

Nature communications August 13, 2025 William Wong, Rubén Herzog, Kátia Cristine Andrade et al. 10 citations

A new open database, the DREAM database, combines standardized sleep magneto/electroencephalography (M/EEG) recordings with dream reports from 505 participants across 20 datasets, totaling 2,643 awakenings. Each awakening includes at least 20 seconds of high-resolution sleep EEG (≥100 Hz, ≥2 electrodes) and a classification of the sleeper's reported experience. Analyses showed that reports of conscious experiences during sleep can be predicted from objective EEG features in both REM and NREM sleep. The database aims to overcome limitations of small sample sizes and methodological variability in dream research, enabling larger-scale investigations of the neurocognitive basis of dreaming.

High-order brain interactions during ketamine-induced state changes: A functional marker of response in late-life treatment-resistant depression?

Translational Psychiatry July 4, 2026 Krisha Shah, Rubén Herzog, Alan C. Swann et al.

Ketamine rapidly reduces depression in some people with treatment-resistant depression, but the brain mechanisms are not fully understood. This analysis of a randomized, double-blind trial compared ketamine to midazolam in 30 older veterans with treatment-resistant depression. Using EEG data and a measure called O-information, which captures how brain regions interact in groups of three or more, the study found that ketamine caused dynamic changes in these interactions over time. The strongest effects occurred in alpha brain waves one hour after infusion, with changes shifting to theta waves by 24 hours and partially returning in beta and gamma waves by day 7.

Dream-like mental states can occur during wakefulness.

Cell reports April 7, 2026 Nicolas Decat, Arthur Le Coz, Jade Sénéchal et al.

Mental experiences during wakefulness and sleep are not as distinct as commonly thought. Analyzing electroencephalography (EEG) from 92 participants during daytime rest, researchers collected 375 reports of mental content scored on bizarreness, fluidity, spontaneity, and wake perception. Clustering these reports revealed four distinct types of mental states. Crucially, all four types occurred across wakefulness, N1 sleep, and N2 sleep. EEG measures of spectral power, complexity, and connectivity differentiated these mental states independently of whether participants were awake or asleep. The findings indicate that the waking and sleeping brain can produce the same mental state, and that fine-grained brain dynamics shape the content of mental experiences.

Whole-brain models to explore altered states of consciousness from the bottom up

arXiv Preprint Archive August 6, 2020 Rodrigo Cofré, Rubén Herzog, Pedro A. M. Mediano et al.

Altered states of consciousness, such as those experienced during dreaming or meditation, offer a way to study how large-scale brain activity relates to different subjective experiences. This paper advocates a research program that combines bottom-up generative models of whole-brain activity, based on known properties of neural tissue, with top-down signatures proposed by theories of consciousness. The authors define altered states, discuss relevant brain-activity signatures, and introduce whole-brain models to explore the mechanisms behind these states. They argue that systematically investigating altered states through bottom-up modeling can clarify the biophysical, informational, and dynamical foundations of consciousness.