Proceedings of the National Academy of Sciences
April 13, 2020
Morten L. Kringelbach, Josephine Cruzat, Joana Cabral et al.
326 citations
By combining multimodal neuroimaging data, a framework was developed that demonstrates the fundamental principles of bidirectional coupling between neuronal and neurotransmitter dynamical systems. The work causally explains the functional effects of stimulating specific serotoninergic receptors (5-HT2AR) with psilocybin in healthy humans. This could lead to a better understanding of why psilocybin shows promise as a therapeutic intervention for neuropsychiatric disorders such as depression, anxiety, and addiction.
Neuroimage
May 25, 2019
Louis-David Lord, Paul Expert, Selen Atasoy et al.
249 citations
Brain function can be understood as the exploration of a repertoire of metastable connectivity patterns that underlie different mental processes. Intravenous infusion of psilocybin rapidly modulates how the brain dynamically explores these resting-state networks. Using a data-driven approach focused on the leading eigenvector of BOLD phase coherence at single-TR resolution, recurrent BOLD phase-locking patterns were assessed pre- and post-infusion. A frontoparietal subsystem pattern was strongly destabilized after psilocybin, while a pattern characterized by global BOLD phase coherence became more probable. These results demonstrate network-specific neuromodulation by psilocybin, bridging molecular pharmacodynamics and whole-brain network dynamics.
Curr Biol
September 27, 2018
Gustavo Deco, Josephine Cruzat, Joana Cabral et al.
246 citations
A whole-brain model integrating anatomical, functional, and neurotransmitter data explains how serotonin 2A receptor stimulation with LSD alters brain dynamics. The model combines diffusion MRI, functional MRI, and PET scans of serotonin 2A receptor density to simulate resting-state activity and music listening effects. It shows that LSD's effects arise from non-linear interactions between anatomical connectivity, the brainwide distribution of 5-HT2A receptors, and neuromodulation of neuronal gain. Accounting for neuromodulatory activity in brain models can yield insights into brain function and aid drug discovery for neuropsychiatric disorders.
Sci Rep
December 15, 2017
Selen Atasoy, Leor Roseman, Mendel Kaelen et al.
225 citations
LSD alters the energy and power of individual harmonic brain states in a frequency-selective manner, leading to an expansion of the repertoire of active brain states. This expansion is non-random, suggesting a general re-organization of brain dynamics. The frequency distribution of active brain states under LSD closely follows power-laws, indicating a re-organization of dynamics at the edge of criticality. These findings provide insight into how LSD affects brain function and open new methods for understanding complex brain dynamics in health and disease.
The Neuroscientist
September 1, 2017
Selen Atasoy, Gustavo Deco, Morten L. Kringelbach et al.
131 citations
Spontaneous brain activity exhibits coherent oscillations across a wide range of frequencies, with temporal patterns highly correlated across distributed cortical areas, forming resting state networks. This work introduces harmonic brain modes as fundamental building blocks of complex spatiotemporal neural activity, defined as harmonic modes of structural connectivity (connectome harmonics) that yield fully synchronous activity patterns with different frequency oscillations constrained by brain structure. This framework links space and time in brain dynamics. The authors show how harmonic brain modes explain neurophysiological, temporal, and network-level changes across mental states (wakefulness, sleep, anesthesia, psychedelic). Spatial and temporal characteristics emerge from the interplay between excitation and inhibition, fitting changes associated with different mental states, offering tools for understanding brain dynamics in various states of consciousness.
Physical review. E
July 28, 2021
Yonatan Sanz Perl, Hernan Bocaccio, Carla Pallavicini et al.
82 citations
Conscious wakefulness is characterized by brain dynamics far from thermodynamic equilibrium, while states of reduced consciousness—such as deep sleep and anesthesia induced by propofol, ketamine, or ketamine plus medetomidine—operate closer to equilibrium. This conclusion comes from analyzing electrocorticography data from nonhuman primates and functional magnetic resonance imaging data from humans. Entropy production and the curl of probability flux in phase space reliably distinguished conscious from unconscious states. The findings establish nonequilibrium macroscopic brain dynamics as a robust signature of consciousness and offer a statistical mechanics framework for studying cognition and awareness.
NeuroImage
April 11, 2020
Ignacio Pérez Ipiña, Patricio Donnelly Kehoe, Morten L. Kringelbach et al.
81 citations
A semi-empirical model combining fMRI data, structural connectivity, and anatomically-informed priors shows that brain states during the wake-sleep cycle are better described by multiple dimensions rather than a single continuum. The best fit used priors based on functionally coherent networks, dividing the cortex into regions with opposite dynamics: frontoparietal regions approached a noise-driven bifurcation from fixed-point dynamics, while sensorimotor regions approached a bifurcation from oscillatory dynamics. Sleep onset involved subcortical deactivation with low correlation, reversed in deeper stages. Periodic forcing simulating external perturbations identified key regions for wakefulness recovery. The model characterizes sleep as having diminished perceptual gating but latent capacity for rapid arousal.
Communications Biology
June 29, 2022
Anira Escrichs, Yonatan Sanz Perl, Carme Uribe et al.
67 citations
Different brain states—resting, meditating, deep sleep, and disorders of consciousness after coma—are underpinned by distinct spatiotemporal dynamics that can be characterized using turbulence theory. Non-conscious states tend to be more synchronous, while conscious states are more asynchronous, but the work goes beyond this simple dichotomy. A model-free analysis of human neuroimaging data applied Kuramoto's turbulence framework with coupled oscillators and measured information cascades across spatial scales. A complementary model-based approach used exhaustive computer simulations of whole-brain models fitted to those measures to study information encoding. The framework shows that turbulence theory provides excellent tools for describing and differentiating between brain states.
Prog Brain Res
October 25, 2018
Selen Atasoy, Jakub Vohryzek, Gustavo Deco et al.
67 citations
Psychedelics produce distinct brain activity patterns characterized by frequency-specific energy changes and an expanded repertoire of functional states, as revealed through connectome-harmonic decomposition. These neural signatures suggest that psychedelics increase the brain's flexibility and diversity of activity, which may underlie their therapeutic benefits for mental health.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
May 23, 2022
Jakub Vohryzek, Joana Cabral, Peter Vuust et al.
62 citations
The brain balances order and disorder in its activity patterns to adapt to a complex environment. Depression involves excessively rigid, ordered brain states, while psychedelics induce more disordered, overly flexible states. This review uses dynamical system theory and neuroimaging to characterize how different healthy and altered brain states correspond to distinct spacetime dynamics, potentially guiding new treatments for rebalancing brain states in disease.
NeuroImage
November 1, 2020
Gerald J. Hahn, Gorka Zamora‐lópez, Lynn Uhrig et al.
55 citations
Brain-wide signal levels can reliably distinguish sleep and anesthesia from the awake state in human and monkey fMRI resting state data. A whole-brain computational model reproduces changes in global synchronization, functional connectivity, structure-function relationship, integration, and segregation across vigilance states. The awake brain operates near a Hopf bifurcation, which coincides with globally correlated fMRI signals. Simulated lesions of connectivity hubs in the posterior brain and subcortical nuclei disrupt the model's awake state, matching predictions from graph-theoretical analyses of structural data.
Network Neuroscience
December 23, 2022
Gustavo Deco, Yonatan Sanz Perl, Laura de la Fuente et al.
43 citations
The default mode network (DMN) may coordinate the recruitment and scheduling of brain networks for solving cognitive tasks, supported by evidence that DMN regions are physically and functionally distant from sensorimotor areas. Using a thermodynamics-inspired, deep learning-based Temporal Evolution NETwork (TENET) framework to measure the 'arrow of time'—a marker of nonreversibility and hierarchy in brain signals—analysis of Human Connectome Project data from nearly a thousand participants suggests the DMN orchestrates hierarchy levels that shift between rest and seven cognitive tasks. This hierarchy differs significantly in health versus neuropsychiatric disorders, offering insights into brain dynamics for cognition.
Nature Mental Health
August 5, 2024
Gustavo Deco, Yonatan Sanz Perl, Samuel Johnson et al.
39 citations
Two serotonergic interventions—psilocybin therapy and the antidepressant escitalopram—rebalance brain dynamics in major depressive disorder through opposite hierarchical reconfigurations. In a double-blind phase II trial, 22 patients received two 25 mg doses of psilocybin plus daily placebo, while 20 patients received two 1 mg doses of psilocybin plus daily escitalopram. Resting-state fMRI scans before and after treatment, analyzed with generative effective connectivity models, showed that the two treatments produced significantly different and opposite changes in whole-brain hierarchy. Machine learning predicted treatment response with 85% accuracy. The findings suggest that depression may involve disrupted function of brain regions that orchestrate dynamics from the top of the hierarchy.
bioRxiv (Cold Spring Harbor Laboratory)
November 2, 2020
Pedro A. M. Mediano, Fernando E. Rosas, Christopher Timmermann et al.
39 citations
preprint
Psychedelics reliably increase brain entropy (neural signal diversity), an effect linked to psychological changes and opposite to the decrease seen during loss of consciousness. This study investigated how context—specifically stimulus manipulation—modulates that entropy increase. Participants under LSD or placebo experienced eyes-closed versus eyes-open conditions, or no stimulus, music, or video. Brain entropy rose with LSD across all conditions but was largest with eyes closed. Entropy changes consistently matched subjective ratings of the psychedelic experience, except during video viewing, suggesting competition between external stimuli and internal LSD-induced imagery. The findings provide quantitative evidence that context shapes neural dynamics during psychedelic experiences, supporting the practice of eyes-closed psychedelic psychotherapy, and challenge simplistic views of brain entropy as a direct measure of conscious level.
Neuroimage
January 29, 2021
Beatrice M. Jobst, Selen Atasoy, Adrián Ponce-Alvarez et al.
37 citations
After taking LSD, the brain's dynamics become less stable and more diverse in response to perturbations. Using a whole-brain computational model fitted to fMRI data from individuals under LSD or placebo, researchers simulated external disruptions to different brain regions. They measured recovery time with the Perturbational Integration Latency Index (PILI). Globally, LSD caused consistently higher PILI values, indicating a shift further from stable equilibrium. Locally, the largest differences appeared in the limbic, visual, and default mode networks. LSD also increased variability of PILI across brain regions, suggesting greater response diversity. These findings reveal brain-wide dynamical changes underlying the psychedelic state and suggest potential clinical applications for psychiatric disorders.
Interface Focus
April 14, 2023
Elvira G-Guzmán, Yonatan Sanz Perl, Jakub Vohryzek et al.
34 citations
Living systems must constantly work against equilibrium to survive, a property that can be measured through temporal asymmetry in brain signals. Using statistical physics, researchers analyzed reversibility in functional magnetic resonance imaging data from patients with disorders of consciousness. They found that decreased asymmetry and reduced non-stationarity in brain signals characterize impaired consciousness states, consistent with previous findings in sleep and anesthesia. The work aims to identify biomarkers for patient improvement and classification, and to deepen mechanistic understanding of consciousness disorders.
bioRxiv (Cold Spring Harbor Laboratory)
May 17, 2021
S. Parker Singleton, Andrea I. Luppi, Robin L. Carhart-Harris et al.
30 citations
preprint
LSD and psilocybin reduce the amount of energy the brain needs to transition between different activity states, as measured by functional MRI. This flattening of the brain's control energy landscape allows for more frequent state transitions and more diverse (entropic) brain activity. The effects are linked to the spatial distribution of serotonin 2a receptors, the main target of these psychedelics. The findings suggest that these compounds make brain state transitions more facile and temporally diverse, offering a mechanistic explanation for the altered subjective experience induced by psychedelics.
Network Neuroscience
January 1, 2022
Josephine Cruzat, Yonatan Sanz Perl, Anira Escrichs et al.
28 citations
Psychedelic drugs like LSD and psilocybin may treat neuropsychiatric disorders by dose-dependently altering the brain's functional hierarchy—the organization of neural activity across regions. Using a turbulence framework that measures local synchronization (vorticity) in both space and time, researchers found that both drugs produce consistent and distinct effects, particularly compressing the default mode network, a higher-level network. These findings support the hypothesis that psychedelics modulate the functional hierarchy and provide a quantitative comparison of how LSD and psilocybin change brain dynamics, with implications for therapeutic use.
bioRxiv (Cold Spring Harbor Laboratory)
August 10, 2020
Andrea I. Luppi, Jakub Vohryzek, Morten L. Kringelbach et al.
26 citations
preprint
Consciousness arises from how the brain's structural wiring shapes its dynamic activity. By decomposing resting-state fMRI data into harmonic modes of the human structural connectome, a generalizable signature of lost consciousness emerges—whether from anesthesia or brain injury—while a reversed signature characterizes psychedelic states induced by LSD or ketamine, reflecting decoupling of function from structure. This connectome harmonic approach discriminates between behaviorally indistinguishable brain-injured patients and tracks covert consciousness, linking neurobiology to conscious experience.
bioRxiv (Cold Spring Harbor Laboratory)
July 14, 2017
Selen Atasoy, Leor Roseman, Mendel Kaelen et al.
25 citations
preprint
Lysergic acid diethylamide (LSD) alters the energy and power of individual harmonic brain states in a frequency-selective manner, expanding the repertoire of active brain states. This non-random increase in co-activation across frequencies suggests a general re-organization of brain dynamics. The frequency distribution of active brain states under LSD follows power-laws, indicating dynamics at the edge of criticality. These methods offer insights into complex brain dynamics in health and disease.
Annals of the New York Academy of Sciences
November 20, 2023
Katarina Jerotic, Peter Vuust, Morten L. Kringelbach
19 citations
Music and psychedelics have been intertwined throughout human history, from early shamanic rituals to modern psychedelic-assisted therapy. This review examines their interplay, describing how both engage the brain's functional hierarchy for music perception and its psychedelic-induced manipulation. It explores music's role in Western psychedelic therapy and indigenous rituals, focusing on ayahuasca and the Santo Daime Church. The work also considers music's potential to induce altered states of consciousness without psychedelics and the development of psychedelic music. The authors provide an overview of several perspectives on this interaction, a topic of growing interest given increasing excitement about psychedelic interventions' therapeutic efficacy.
bioRxiv (Cold Spring Harbor Laboratory)
July 4, 2021
Gustavo Deco, Yonatan Sanz Perl, Jacobo Sitt et al.
16 citations
preprint
The brain operates far from equilibrium due to forces from the body and environment. Using a deep learning framework called Temporal Evolution NETwork (TENET) applied to large-scale neuroimaging data from over a thousand participants, researchers show that the arrow of time—a thermodynamic measure of non-reversibility—varies with cognitive state. Non-equilibrium levels are higher during tasks than at rest and differ across seven distinct cognitive tasks. In a separate dataset of 265 participants, the framework distinguishes resting-state brain activity in healthy controls from that in schizophrenia, bipolar disorder, and ADHD, with higher non-equilibrium levels in health. This thermodynamics-based approach offers new insights into how brain dynamics orchestrate behavior-environment interactions.
bioRxiv (Cold Spring Harbor Laboratory)
November 9, 2023
Fernando E. Rosas, Pedro A. M. Mediano, Christopher Timmermann et al.
14 citations
preprint
Autonomic signals can reveal aspects of subjective and neural states. A Bayesian framework estimated heart rate entropy under psychedelics. Across four drugs—LSD, DMT, psilocybin, and ketamine—mean heart rate, high-frequency heart rate variability, and heart rate entropy consistently increased during the psychedelic experience. These changes predicted various dimensions of the experience. Heart rate entropy increases correlated with brain entropy increases, while other autonomic markers did not. Cost-efficient autonomic measures can reveal detail about subjective and brain states, opening new research avenues in neuroscience.
Physics Reports
October 24, 2025
Ramón Nartallo-Kaluarachchi, Morten L. Kringelbach, Gustavo Deco et al.
11 citations
The brain's neural activity, observed via electrophysiology and neuroimaging, shows time-irreversibility and broken detailed balance, indicating it operates in a nonequilibrium stationary state rather than a symmetric equilibrium. The degree of this nonequilibrium, measured by entropy production or irreversibility, appears to be a key marker of cognitive complexity and consciousness. This review introduces the mathematical frameworks for understanding nonequilibrium dynamics in continuous and discrete state-spaces, then surveys model-free and model-based analysis methods applied to neural recordings and spike-trains. It also touches on nonequilibrium computation in neural systems and concludes with a discussion of future directions for this emergent field at the intersection of nonequilibrium statistical physics and neuroscience.
Research Square
September 20, 2022
Jakub Vohryzek, Joana Cabral, Louis-David Lord et al.
10 citations
Psilocybin therapy for depression shows promise, but how it works is unclear. By comparing responders (those with >50% reduction in symptoms) to non-responders after 10mg and 25mg doses, whole-brain modeling identified specific brain regions whose dynamics shift from a depressive to a healthy state. These regions overlap with maps of serotonin 5-HT2A and 5-HT1A receptors, which psilocin—the active metabolite of psilocybin—activates. The findings provide causal evidence linking serotonergic transmission and recovery from depression via psilocybin.