ArticleCommunications biology2022
Unifying turbulent dynamics framework distinguishes different brain states.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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38 citing papers in PubMed, 62 citations in OpenAlex.
- Dynamic Functional Synchronization Profiles in Autism Differ by Spatial Scale and Along Hierarchical Cortical Gradients.Biological psychiatry global open science · 2026Article
- A canary in the mind: A single baseline brain scan predicts adolescent depression and anxiety one year later.medRxiv : the preprint server for health sciences · 2026Article
- Perturbations of whole-brain model reveal critical areas related to relapse of early psychosis.Network neuroscience (Cambridge, Mass.) · 2026Article
- The turbulent brain: Modeling vortex interactions for understanding human cognition.Network neuroscience (Cambridge, Mass.) · 2026Article
- Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations.bioRxiv : the preprint server for biology · 2025Article
- Turbulent-like Dynamics Predict Treatment Outcome in Major Depressive Disorder.Research square · 2025Article
- Modeling Emotional Arousal With Turbulence Measured by EEG.Psychophysiology · 2025Article
- Nonequilibrium brain dynamics elicited as the origin of perturbative complexity.PLoS computational biology · 2025Article
- ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder.Molecular psychiatry · 2025Article
- Article
- Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.Research (Washington, D.C.) · 2025Article
- Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness.Frontiers in neuroscience · 2025Article
- Martial arts induce quasicritical brain states: a unified, multiscale, and mechanistic theory of brain health optimization.Frontiers in psychology · 2025Article
- Homeodynamic feedback inhibition control in whole-brain simulations.PLoS computational biology · 2024Article
- Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep in humans.Nature communications · 2024Article
- Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness.Communications biology · 2024Article
- Gaming expertise induces meso‑scale brain plasticity and efficiency mechanisms as revealed by whole-brain modeling.NeuroImage · 2024Article
- Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.PLoS computational biology · 2024Article
- Measuring the dynamic balance of integration and segregation underlying consciousness, anesthesia, and sleep.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
18 authors at 10 institutions in 10 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant advances have been made by identifying the levels of synchrony of the underlying dynamics of a given brain state. This research has demonstrated that non-conscious dynamics tend to be more synchronous than in conscious states, which are more asynchronous. Here we go beyond this dichotomy to demonstrate that different brain states are underpinned by dissociable spatiotemporal dynamics. We investigated human neuroimaging data from different brain states (resting state, meditation, deep sleep and disorders of consciousness after coma). The model-free approach was based on Kuramoto's turbulence framework using coupled oscillators. This was extended by a measure of the information cascade across spatial scales. Complementarily, the model-based approach used exhaustive in silico perturbations of whole-brain models fitted to these measures. This allowed studying of the information encoding capabilities in given brain states. Overall, this framework demonstrates that elements from turbulence theory provide excellent tools for describing and differentiating between brain states.
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