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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
bioRxiv Preprint Server
July 27, 2023
Paulina Clara Dagnino, Javier A. Galadí, Estela Càmara et al.
1 citation
preprint
Meditation produces distinct whole-brain dynamics compared to rest, particularly in the triple-network model (executive control, salience, and default-mode networks). Using a causal mechanistic framework, researchers defined probabilistic metastable substates from dynamic brain patterns and adjusted a whole-brain model of the resting state to simulate transitions to meditation. They successfully induced the meditative state through localized artificial perturbations, primarily shifting areas in the somatomotor and dorsal attention networks. The work suggests meditation can be studied as a practice for health and as a potential therapy for brain disorders.
Hum Brain Mapp
July 1, 2026
Lorenzo Pasquini, Jakub Vohryzek, Anira Escrichs et al.
A computational model predicts that a single dose of psilocybin can produce lasting changes in the dynamic activity and effective connectivity of fronto-striatal-thalamic brain circuits. The modeling suggests that psilocybin may strengthen connectivity between the prefrontal cortex and striatum while altering thalamic gating, effects that persist beyond the acute drug experience. These changes could underlie the sustained therapeutic benefits observed in clinical settings, such as reduced depressive symptoms and increased psychological flexibility. The findings provide a mechanistic framework for understanding how psilocybin induces long-term neural plasticity and highlight potential circuit targets for treating psychiatric disorders.