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Morten L. Kringelbach

University of Oxford, Aarhus University

71 papers in the library · 2,455 citations · publishing 2017-2026

Papers

Psychedelia: The interplay of music and psychedelics

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.

Synergistic, multi-level understanding of psychedelics: three systematic reviews and meta-analyses of their pharmacology, neuroimaging and phenomenology.

Translational Psychiatry December 4, 2024 Kenneth Shinozuka, Katarina Jerotic, Pedro A. M. Mediano et al. 17 citations

Serotonergic psychedelics such as LSD, psilocybin, and DMT alter consciousness and may help treat depression and addiction, but their mechanisms remain unclear. A systematic review and meta-analysis across three levels—subjective experience, neuroimaging, and molecular pharmacology—reveals that medium and high doses of LSD produce stronger visionary restructuring than psilocybin. Neuroimaging shows psychedelics generally strengthen connectivity between brain networks while weakening connectivity within networks. Pharmacologically, LSD triggers more inositol phosphate formation at the 5-HT2A receptor than DMT or psilocin, but no significant differences exist in receptor selectivity among the drugs. The analysis finds high heterogeneity and risk of bias, calling for standardized methods and more research.

Deep learning the arrow of time in brain activity: characterising brain-environment behavioural interactions in health and disease

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.

The entropic heart: Tracking the psychedelic state via heart rate dynamics

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.

The flattening of spacetime hierarchy of the N,N-dimethyltryptamine brain state is characterized by harmonic decomposition of spacetime (HADES) framework.

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.

Nonequilibrium physics of brain dynamics

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.

Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis.

Cerebral cortex (New York, N.Y. : 1991) February 5, 2025 Ruby M. Potash, Winson F.z. Yang, Brian Winston et al. 11 citations

Advanced concentrative absorption meditation produces distinct, distributed brain-wide activity patterns that differ from ordinary consciousness, as shown by ultrahigh-field 7T fMRI in a single expert meditator. Using geometric eigenmode decomposition, the study found elevated global brain state power and energy during meditation compared to control tasks, with mid-frequency brain state power and energy following a non-random, cubic trajectory across the meditation sequence. These brain state differences correlated with subjective reports of attention, meditation quality, and sensations. The findings reveal similarities and differences between advanced meditation and psychedelic-induced states, offering insights into refined conscious states and their implications for well-being.

Brain dynamics predictive of response to psilocybin for treatment-resistant depression

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.

Altered trajectories in the dynamical repertoire of functional network states under 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.

LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics.

Imaging Neurosci (Camb) January 3, 2025 Kenneth Shinozuka, Prejaas K.b. Tewarie, Andrea I. 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.

Time-resolved coupling between connectome harmonics and subjective experience under the psychedelic DMT

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.

Harmonic decomposition of spacetime (HADES) framework characterises the spacetime hierarchy of the DMT brain state

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.

Transient destabilization of whole brain dynamics induced by N,N-Dimethyltryptamine (DMT).

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.

LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics

bioRxiv (Cold Spring Harbor Laboratory) April 28, 2024 Kenneth Shinozuka, Prejaas K.b. 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.

LSD-induced increase of Ising temperature and algorithmic complexity of brain dynamics

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.

Long-term effects of psilocybin on dynamic and effectivity connectivity of fronto-striatal-thalamic circuits

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.

Perturbing whole‐brain models of brain hierarchy: An application for depression following pharmacological treatment

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.

Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.

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.

Connectome harmonic decomposition tracks the presence of disconnected consciousness during ketamine-induced unresponsiveness.

British Journal of Anaesthesia April 1, 2025 Milan Van Maldegem, Jakub Vohryzek, Selen Atasoy et al. 3 citations

Ketamine, at anesthetic doses, produces a state where people are unresponsive yet often report vivid inner experiences, separating conscious awareness from behavioral responsiveness. Using connectome harmonic decomposition on fMRI data, researchers found that brain signals during ketamine-induced unresponsiveness show increased fine-grained spatial patterns, indicating higher neural granularity. This harmonic signature aligned with those of LSD-induced and ketamine-induced psychedelic states, but misaligned with signatures from unconscious individuals due to propofol sedation or brain injury. The method can track changes in conscious awareness even when behavior is absent, offering a tool for consciousness and anesthesia research.

LSD reconfigures the frequency-specific network landscape of the human brain

bioRxiv March 24, 2025 Kenneth Shinozuka, Mattia Rosso, Clayton R. Coleman et al. 3 citations preprint

LSD profoundly alters consciousness by reorganizing brain networks in specific frequency bands. Analyzing MEG data from 14 healthy participants, the substance enhances high alpha (12.1, 13.3 Hz) activity across all conditions and high beta (25.3 Hz) in three conditions, while suppressing low beta (18.1, 19.3 Hz) and low alpha (8.5 Hz). LSD also shifts network spatial distributions: low alpha moves anteriorly toward the motor cortex, high alpha becomes more localized to the visual cortex, and low beta expands over temporal and occipital cortices. These frequency- and region-specific changes add nuance to theories of network disintegration under psychedelics.

N,N-dimethyltryptamine effects on connectome harmonics, subjective experience and comparative psychedelic experiences.

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.

Ketamine-Induced Unresponsiveness Shows a Harmonic Shift from Global to Localised Functional Organisation

bioRxiv (Cold Spring Harbor Laboratory) June 25, 2024 Milan Van Maldegem, Jakub Vohryzek, Selen Atasoy et al. 2 citations preprint

Ketamine, a dissociative anesthetic, produces different brain dynamics at anesthetic versus sub-anesthetic doses. Using connectome harmonic decomposition (CHD) to analyze resting-state fMRI data from volunteers during ketamine-induced unresponsiveness, the study found increased prevalence of localized harmonics, similar to patterns seen in psychedelic states induced by LSD or psilocybin. This contrasts with traditional GABAergic sedation (e.g., propofol), where global harmonics increase with higher doses. The results indicate that ketamine-induced unresponsiveness does not necessarily suppress conscious experience and influences connectome harmonics oppositely to GABAergic hypnotics. CHD may track alterations in conscious awareness rather than behavioral responsiveness.

Synergistic, Multi-level Understanding of Psychedelics: Three Systematic Reviews and Meta-analyses of Their Pharmacology, Neuroimaging and Phenomenology

bioRxiv (Cold Spring Harbor Laboratory) October 7, 2023 Kenneth Shinozuka, Katarina Jerotic, Pedro A. M. Mediano et al. 2 citations preprint

Serotonergic psychedelics such as LSD, psilocybin, and DMT alter consciousness and show therapeutic potential for depression and addiction, but their mechanisms remain unclear. A systematic review and meta-analysis across three levels—phenomenology, neuroimaging, and pharmacology—reveals that medium and high doses of LSD produce significantly stronger visionary restructuring than psilocybin. Neuroimaging shows psychedelics generally strengthen connectivity between brain networks while weakening connectivity within networks. Pharmacologically, LSD triggers more inositol phosphate formation at the 5-HT2A receptor than DMT or psilocin, but no significant differences emerged in receptor selectivity among the drugs. The findings highlight high heterogeneity and risk of bias, underscoring the need for standardized methods.

Distinct brain responses to psilocybin and escitalopram in depression captured by the Fluctuation-Dissipation Theorem

bioRxiv (Cold Spring Harbor Laboratory) June 16, 2026 Paulina Clara Dagnino, Irene Acero-Pousa, Gorka Zamora-López et al. 1 citation

Psilocybin and the conventional antidepressant escitalopram produce opposite changes in the brain's hierarchical non-equilibrium dynamics when treating major depressive disorder. Using resting-state fMRI before and after treatment, researchers built whole-brain models and measured how much each patient's brain activity deviated from the fluctuation-dissipation theorem. Baseline measures distinguished treatment responders from non-responders within each group. The deviation from the fluctuation-dissipation theorem may serve as a marker to differentiate the brain effects of psilocybin and escitalopram, contributing to understanding how these treatments work for depression.

Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations

bioRxiv (Cold Spring Harbor Laboratory) October 3, 2025 Marian Martínez-Marín, Jakub Vohryzek, Anira Escrichs et al. 1 citation preprint

Consciousness levels after coma can be assessed by measuring how far the brain's dynamics are from equilibrium. Using fMRI data and individualized whole-brain models, researchers found that patients with disorders of consciousness—those in a minimally conscious state or unresponsive wakefulness syndrome—show brain activity closer to equilibrium than healthy controls, with the shift increasing as consciousness decreases. Disruptions in hierarchical drive were identified in default-mode network regions and subcortical hubs like the thalamus. Recovery of near-control hierarchy in the visual network distinguished minimally conscious from unresponsive patients, while limbic areas showed similar abnormalities in both groups. Deviation from the fluctuation-dissipation theorem offers a model-based biomarker for clinical stratification.