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Morten L Kringelbach

Centre for Eudaimonia and Human Flourishing, Department of Psychiatry, University of Oxford, Oxford, UK; Centre for Music in the Brain, Aarhus University, Aarhus, Denmark.

13 papers in the library · 425 citations · publishing 2022-2026

Papers

Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain's control energy landscape.

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.

Distributed harmonic patterns of structure-function dependence orchestrate human consciousness.

Communications biology January 28, 2023 Andrea I Luppi, Jakub Vohryzek, Morten L Kringelbach et al. 98 citations

Consciousness depends on how tightly brain function follows the brain's physical wiring. Using MRI scans, researchers measured structure-function coupling across spatial scales in people who were unconscious from anesthesia or brain injury and in people under psychedelics (LSD or ketamine). During loss of consciousness, function more closely tracked the brain's structural connections, a signature that could distinguish behaviorally similar brain-injured patients and detect covert consciousness. In contrast, psychedelics decoupled function from structure, and this decoupling correlated with physiological and subjective scores. The findings suggest that connectome harmonic decomposition reveals how neuromodulation and network architecture jointly shape consciousness.

Effects of External Stimulation on Psychedelic State Neurodynamics.

ACS chemical neuroscience February 7, 2024 Pedro A M Mediano, Fernando E Rosas, Christopher Timmermann et al. 60 citations

LSD increases brain entropy (neural signal diversity) across all conditions, but the effect is strongest when eyes are closed. Brain entropy changes correlate with subjective psychedelic experience ratings, except when viewing a video, possibly because external stimuli compete with LSD-induced imagery. This shows context modulates neural dynamics during psychedelic experiences, highlighting the importance of environment in psychedelic psychotherapy.

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

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.

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

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.

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 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.

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.

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.

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.

One operator to rule them all: Unifying connectome harmonics, turbulence and complex harmonics in brain dynamics

bioRxiv (Cold Spring Harbor Laboratory) June 9, 2026 Morten L Kringelbach, Gustavo Deco

Brain dynamics can be described in three mathematical languages—connectome harmonics, turbulence, and complex harmonics (CHARM)—which are unified as a single self-adjoint operator and its spectral measure. The connectome Laplacian carries this measure; harmonics are its spectral projections, the turbulence smoothing kernel is its resolvent, and CHARM form is its unitary propagator. A shared control parameter, the spectral gap, yields cortical hierarchy, turbulent information cascade, and structured interference. Testing this with a pharmacological perturbation by LSD showed that one scalar coupling simultaneously predicts multi-scale turbulence shifts and macroscale harmonic energy redistribution, supporting the unified operator structure.

Psychedelic resting-state neuroimaging: A review and perspective on balancing replication and novel analyses.

Neuroscience and biobehavioral reviews July 1, 2022 Drummond E-Wen Mcculloch, Gitte Moos Knudsen, Frederick Streeter Barrett et al.

A large group of psychedelic imaging researchers reviewed 42 articles from 17 unique studies that used resting-state functional magnetic resonance imaging (rs-fMRI) to examine psychedelic effects. They found that nearly all studies varied in data processing and analysis methods, two datasets underpin over half of the published literature, and key outcome terms are used ambiguously. The authors recommend guidelines to improve consistency and replicability in future research, arguing that the field must balance novel methods with standardized approaches to reliably understand the neural mechanisms of psychedelics.