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.
Brain Structure and Function
May 6, 2022
Eleonora de Filippi, Anira Escrichs, Estela Càmara et al.
23 citations
Meditation-related changes in brain dynamics and structure were investigated by scanning experienced meditators and naive controls with MRI during rest and focused-attention meditation. A machine-learning approach showed that effective connectivity (causal relationships between brain regions) was more informative than functional or structural connectivity alone for distinguishing meditators from controls. The most informative effective-connectivity links involved several large-scale networks, predominantly in the left hemisphere. Anatomical differences were smaller but present: meditators had stronger structural connectivity between four left-hemisphere areas belonging to somatomotor, dorsal attention, subcortical, and visual networks. The findings suggest a mechanism linking brain structure and function underlying meditation.
Preprints.org
July 21, 2023
Fran Hancock, Fernando E. Rosas, Mengsen Zhang et al.
16 citations
preprint
Healthy brain function requires a balance between stable integration across brain areas for coordinated activity and brief periods of desynchronization that allow subsystems to reconfigure and express specialized functions. Metastability, a concept from statistical physics and dynamical systems theory, has been proposed as a key signature of this balance. Neuroscience research has used markers of metastability to study cognitive performance, healthy aging, meditation, sleep, responses to drugs, and to characterize psychiatric conditions and disorders of consciousness. However, the term is often used heuristically or inaccurately, making the literature difficult to navigate. This paper provides a comprehensive review of metastability in neuroscience, covering its scientific and historical foundations, practical estimators, and a critical analysis of recent theoretical developments to clarify misconceptions.
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.
June 10, 2021
Drummond E-Wen Mcculloch, Gitte M. Knudsen, Frederick S. Barrett et al.
14 citations
preprint
Research into psychedelic drugs like psilocybin, LSD, and DMT is growing, with clinical trials showing promise for psychiatric conditions. Resting-state fMRI is a common method to study brain mechanisms in these contexts. A review of 42 articles from 17 datasets found high heterogeneity in methods and analyses; two datasets underlie over half the publications, and terms like "entropy" are used inconsistently. The authors suggest that the field needs greater methodological consistency and replicability to identify stable neural markers of psychedelic effects, and encourage development of new models and quantification methods.
National science review
May 1, 2024
Jakub Vohryzek, Joana Cabral, Christopher Timmermann et al.
13 citations
The human brain's activity constantly reorganizes across space and time, and decomposing whole-brain recordings into harmonic modes reveals gradient-like patterns linked to different functions. Using the HADES framework, researchers analyzed brain activity in healthy participants after taking the serotonergic psychedelic DMT. They found significant decreases in contributions across most low-frequency harmonic modes during the DMT state. Specifically, the second functional harmonic, which represents the uni- to transmodal functional hierarchy, decreased, supporting the hypothesis that psychedelics alter this hierarchy. Dynamic measures of fractional occupancy, lifetime, and latent space precisely described the changes in the brain's spacetime hierarchical organization during the psychedelic state.
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.
bioRxiv (Cold Spring Harbor Laboratory)
July 25, 2018
Louis-David Lord, Paul Expert, Selen Atasoy et al.
10 citations
preprint
Brain activity can be viewed as exploring a landscape of different activity patterns over time, shifting between stable states of functional connectivity that support various mental processes. In a study using fMRI data from healthy participants given intravenous psilocybin (the active compound in magic mushrooms), researchers analyzed how this dynamical landscape changes during the psychedelic state. They found that a connectivity state linked to the fronto-parietal control system became strongly destabilized, while transitions toward a globally synchronized state increased. These changes suggest the psychedelic state biases the brain toward global integration at the cost of local network segregation, offering a mechanistic perspective on the subjective psychedelic experience and potential guidance for pharmacological interventions in neuropsychiatric disorders.
Imaging Neurosci (Camb)
January 3, 2025
Kenneth Shinozuka, Prejaas K.b. Tewarie, Andrea Luppi et al.
9 citations
LSD weakens the brain's usual hierarchy of information flow by making neural communication more balanced between sending and receiving signals. Using magnetoencephalography (MEG) data from 16 healthy adults given 75 micrograms of LSD intravenously, researchers measured directed functional connectivity under four conditions (eyes-closed with or without music, eyes-open with or without video). Across the whole brain, LSD reduced the asymmetry of directed connectivity over time. Machine learning classifiers distinguished LSD from placebo more accurately using hierarchy metrics than traditional connectivity measures. These results indicate that LSD flattens the brain's hierarchical information processing by increasing the balance between senders and receivers of neural signals.
bioRxiv (Cold Spring Harbor Laboratory)
March 11, 2025
Devon Stoliker, Leonardo Novelli, Moein Khajehnejad et al.
8 citations
preprint
Psychedelics like psilocybin alter consciousness by reorganizing brain connectivity in a context-sensitive way. In the largest psychedelic neuroimaging dataset to date, 62 adults underwent functional MRI and EEG before and after ingesting 19 mg of psilocybin, during rest and naturalistic stimuli. Under psilocybin, brain signals during eyes-closed conditions became similar to those during eyes-open conditions, with increased global functional connectivity in associative regions and decreased connectivity in sensory areas. Machine learning linked subjective effects to structured neural activity patterns. Stronger self-dissolving effects were associated with more distinct neural representations and next-day mindset changes, revealing a state of 'embeddedness' where networks that usually segregate internal and external processing integrate coherently, aligning neural dynamics with context.
bioRxiv (Cold Spring Harbor Laboratory)
May 31, 2024
Jakub Vohryzek, Selen Atasoy, Gustavo Deco et al.
8 citations
preprint
Psychedelic substances like DMT, psilocybin, LSD, and ketamine alter brain function by reshaping the repertoire of connectome harmonics—patterns of neural activity that depend on the brain's structural network of white matter pathways. Under DMT, the entropy of these harmonics increases, indicating a more diverse range of brain states. For the first time, changes in the energy spectrum and entropy of connectome harmonics were shown to track the intensity of subjective experience in real time, suggesting a close link between the brain's harmonic activity and conscious experience.
bioRxiv
August 21, 2023
Jakub Vohryzek, Joana Cabral, Christopher Timmermann et al.
7 citations
preprint
The brain's activity constantly reorganizes across space and time. A new framework called Harmonic Decomposition of Spacetime (HADES) was developed to track how spatial activity patterns (harmonic modes) change over time. As a proof-of-principle, HADES was applied to brain recordings from healthy participants under the psychedelic DMT and in a normal state. DMT significantly decreased contributions from most low-frequency harmonic modes. After normalizing by condition, a specific decrease appeared in the second functional harmonic, which represents the brain's hierarchy from unimodal to transmodal regions, supporting the hypothesis that psychedelics alter this functional hierarchy. Dynamic measures of fractional occupancy, lifetime, and latent space precisely described changes in the spacetime hierarchical organization of brain activity during the psychedelic state.
Biological psychiatry. Cognitive neuroscience and neuroimaging
April 1, 2025
Saampras Ganesan, Fernando A Barrios, Ishaan Batta et al.
6 citations
Meditation practices, which have shown therapeutic benefits for conditions like depression, pain, addiction, and anxiety, have been studied with neuroimaging over the past decade. However, existing neuroscientific models are based on small, heterogeneous datasets, limiting generalizability and replicability. The ENIGMA-Meditation consortium is the first worldwide collaborative effort to conduct systematic meta- and mega-analyses of globally distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and address multidomain heterogeneity in meditation practice types, experience, and experimental design. The consortium will generate rigorous neuroscientific insights into the mechanisms underlying meditation's therapeutic effects on psychological and cognitive attributes.
Communications biology
March 11, 2025
Juan Ignacio Piccinini, Yonatan Sanz Perl, Carla Pallavicini et al.
6 citations
The transition into a psychedelic brain state is often overlooked in favor of static descriptions of acute effects. Using a time-dependent whole-brain model and fMRI data from 15 volunteers given intravenous DMT, the work shows that a transient of heightened reactivity in fronto-parietal regions and visual cortices correlates with serotonin 5HT2a receptor density. Simulated perturbations suggest that minimal disturbances can achieve maximal effects during this brief period, and the temporal evolution of these features aligns with pharmacokinetics. These findings indicate a mechanism for how short psychedelic episodes may exert a lasting influence over time.
bioRxiv (Cold Spring Harbor Laboratory)
April 28, 2024
Kenneth Shinozuka, Prejaas Tewarie, Andrea I. Luppi et al.
5 citations
preprint
LSD weakens the brain's directed connectivity hierarchy by increasing the balance between senders and receivers of neural signals. This finding supports the REBUS theory, which proposes that psychedelics flatten the hierarchy of information flow in the brain. Analyzing magnetoencephalography data from 16 healthy participants given 75 micrograms of intravenous LSD, the study found that LSD diminishes the asymmetry of directed connectivity averaged over time. Machine learning classifiers distinguished LSD from placebo more accurately when trained on hierarchy metrics than on traditional functional connectivity measures.
bioRxiv
August 29, 2022
Giulio Ruffini, Giada Damiani, Diego Lozano-Soldevilla et al.
5 citations
preprint
Using fMRI data from fifteen people who took LSD or a placebo, researchers modeled brain dynamics with an Ising spin model to test whether psychedelics push the brain into a more disordered state. LSD increased the Ising temperature of brain activity, moving it further away from a critical point (the edge between order and disorder) into a more disordered, paramagnetic phase. This shift was accompanied by a decrease in interhemispheric connectivity, especially between corresponding regions in the two hemispheres. Algorithmic complexity of brain signals also increased with LSD. The findings suggest LSD loosens homotopic connections, driving the brain into a more flexible, complex state, consistent with theories that psychedelics increase neural entropy.
bioRxiv (Cold Spring Harbor Laboratory)
November 7, 2024
Lorenzo Pasquini, Jakub Vohryzek, Anira Escrichs et al.
4 citations
preprint
Psilocybin induces fast and sustained improvements in mental well-being, yet its long-term mechanisms are not fully understood. Four weeks after a full dose, fronto-striatal-thalamic (FST) circuitry—involved in goal-directed behavior and motivation—shows increased dynamic activity and flexibility in healthy volunteers. Computational modeling indicates that reduced structural constraints on functional dynamics cause this increased flexibility. Long-term changes include increased bottom-up and reduced top-down information flow, mediated by serotonergic (5-HT2A) and dopaminergic (D2) receptor systems. This functional re-organization of FST circuits may represent a common mechanism underlying clinical improvements across neuropsychiatric disorders such as substance abuse, major depression, and anorexia.
Network neuroscience (Cambridge, Mass.)
January 1, 2024
Paulina Clara Dagnino, Javier A Galadí, Estela Càmara et al.
4 citations
Meditation produces distinct whole-brain dynamics compared to rest. Using fMRI data from expert meditators and controls, the authors defined probabilistic metastable substates (PMS) for each condition, capturing different probabilities of dynamic brain patterns. They then fit a whole-brain model to these substates and performed in silico perturbations to simulate transitions between resting-state and meditation. The results show that localized artificial perturbations can induce such transitions, and the sensitivity of different brain areas to perturbation varies. This mechanistic framework clarifies how meditation alters brain dynamics and suggests potential applications for health and therapy.
Annals of the New York Academy of Sciences
July 21, 2025
Marcel Socoró-garrigosa, Yonatan Sanz Perl, Morten L Kringelbach et al.
3 citations
The scale at which the brain represents information remains a key question in neuroscience. Evidence shows that information is encoded not just in localized areas but across distributed, hierarchical networks. The hierarchy of causal influences shaping brain activity patterns is a signature of different brain states, relevant to neuropsychiatric disorders. Using whole-brain models guided by the thermodynamics of mind framework, researchers estimated brain hierarchy and studied in-silico transitions in static functional connectivity. Applying this to major depressive disorder, they built resting-state whole-brain models of depressed patients before and after treatment with psilocybin or escitalopram.
PLoS computational biology
June 6, 2025
Wiep Stikvoort, Eider Pérez-Ordoyo, Iván Mindlin et al.
3 citations
A person's level of consciousness can be assessed by how the brain reacts to stimulation, but this study shows that the brain's unperturbed activity already contains that information. Using personalized whole-brain models fitted to resting-state fMRI data from people in altered states of consciousness (deep sleep, disorders of consciousness), the researchers measured the brain's out-of-equilibrium dynamics—specifically, the asymmetry of effective connections and time irreversibility. They found that states with lower arousal or awareness had less asymmetric connectivity, less irreversibility, and lower complexity in simulated responses compared to controls. The asymmetry in connections drives the nonequilibrium state and, in turn, the differences in complexity.
bioRxiv (Cold Spring Harbor Laboratory)
August 19, 2024
Naji Alnagger, Paolo Cardone, Charlotte Martial et al.
3 citations
preprint
Disorders of consciousness, such as unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS), have few treatments. Using whole-brain computational models built from individual patients' fMRI and diffusion-weighted imaging data, this virtual clinical trial simulated the effects of LSD and psilocybin. The psychedelics shifted the brains of patients with disorders of consciousness closer to a critical dynamical state, with a larger effect in MCS patients. In UWS patients, the treatment response depended on structural connectivity, whereas in MCS patients it aligned with baseline functional connectivity. These results provide a computational foundation for considering psychedelics in treating disorders of consciousness and highlight the role of computational modeling in drug discovery and personalized medicine.
Advanced Science
November 20, 2025
Paolo Cardone, Charlotte Martial, Yonatan Sanz Perl et al.
2 citations
Simulated administration of LSD and psilocybin in computational models of patients with disorders of consciousness (DoC), including unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS), shifted brain activity closer to criticality—the phase transition between order and chaos. The effect was greater in MCS patients. In UWS patients, the treatment response correlated with structural connectivity, while in MCS patients it aligned with baseline functional connectivity. These results provide a computational foundation for using psychedelics in DoC treatment and highlight the potential role of computational modeling in drug discovery and personalized medicine.
Neuropsychopharmacology
September 12, 2025
Jakub Vohryzek, Andrea I. Luppi, Selen Atasoy et al.
2 citations
The brain's function depends on its structural wiring, and psychedelics alter this relationship. Using connectome harmonic decomposition, a method linking brain activity to the network of white matter pathways, the authors show that under N,N-dimethyltryptamine (DMT), the brain's harmonic repertoire shifts similarly to that seen with psilocybin, LSD, and ketamine. Repertoire entropy—a measure of the diversity of brain states—increases under DMT. For the first time, the energy spectrum difference and repertoire entropy of connectome harmonics track the intensity of subjective experience in real time, indicating a close coupling between brain network dynamics and conscious experience.
April 8, 2024
Saampras Ganesan, Aki Tsuchiyagaito, Greg J. Siegle et al.
2 citations
preprint
Meditation practices, which have been adapted into manualized interventions for conditions like depression, pain, addiction, and anxiety, show therapeutic promise, but their neuroscientific basis remains unclear. Current neuroimaging studies rely on small, heterogeneous datasets that vary in practice types, participant experience, clinical targets, and imaging methods, limiting generalizability and replicability. To address this, the ENIGMA-Meditation consortium was formed as a global collaboration to conduct systematic meta- and mega-analyses of distributed neuroimaging data using standardized methods. This framework aims to improve statistical power and rigorously characterize the neural mechanisms underlying meditation's effects on psychological and cognitive attributes, advancing the field of contemplative neuroscience.