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.
Nature communications
October 3, 2022
S Parker Singleton, Andrea I Luppi, Robin L Carhart-Harris et al.
156 citations
Psychedelics like LSD and psilocybin temporarily alter subjective experience by acting on serotonin 2a (5-HT2a) receptors, increasing the diversity (entropy) of brain activity. This increase may arise from a flattening of the brain's control energy landscape. Using fMRI data, the authors show that these compounds reduce the control energy needed for transitions between brain states compared to placebo. Across individuals, lower control energy correlates with more frequent state transitions and higher entropy. Incorporating PET data on 5-HT2a receptor distribution under non-drug conditions, the analysis links these receptors to reduced control energy. The findings demonstrate that receptor-informed network control theory can model how neuropharmacological manipulation affects brain dynamics.
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.
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.
Brain communications
January 1, 2024
Jakub Vohryzek, Joana Cabral, Louis-David Lord et al.
33 citations
Psilocybin therapy for depression shows promise, but its causal mechanisms are unknown. By comparing brain dynamics in treatment responders (those with >50% symptom reduction) and non-responders before treatment, researchers used large-scale brain modeling to identify brain regions whose perturbation could shift a depressive brain state to a healthy one. The identified regions correlated with density maps of serotonin receptors 5-HT2a and 5-HT1a, where psilocin (psilocybin's active metabolite) acts as an agonist. These findings provide causal mechanistic evidence linking specific brain regions and serotonergic transmission to recovery from depression via psilocybin.
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.
PLoS computational biology
February 1, 2023
Giulio Ruffini, Giada Damiani, Diego Lozano-Soldevilla et al.
28 citations
Brain dynamics under LSD become more disordered and complex, moving further from the critical point that characterizes healthy brain function. Using Ising spin models fitted to fMRI data from fifteen participants, the authors show that LSD reduces interhemispheric connectivity, especially between corresponding regions in opposite hemispheres. Ising temperatures were significantly higher under LSD than placebo, indicating a shift into a more disordered (paramagnetic) state. Algorithmic complexity of brain activity, measured by block decomposition, correlated with both Ising temperature and condition, supporting the entropic brain hypothesis that psychedelics increase neural disorder.
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)
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.
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.
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.
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.
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 (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.
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.