ArticleFrontiers in computational neuroscience2016
Functional and Topological Conditions for Explosive Synchronization Develop in Human Brain Networks with the Onset of Anesthetic-Induced Unconsciousness.
Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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23 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- Proximity to explosive synchronization determines network collapse and recovery trajectories in neural and economic crises.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Activation of Glutamatergic Neurons in the Supramammillary Nucleus Promotes the Recovery of Consciousness under Sevoflurane Anesthesia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Consciousness and the Dying Brain.Anesthesiology · 2024Review
- Modeling cortical synaptic effects of anesthesia and their cholinergic reversal.PLoS computational biology · 2022Article
- How general anesthetics work: from the perspective of reorganized connections within the brain.Korean journal of anesthesiology · 2022Review
- Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study.Frontiers in computational neuroscience · 2022Article
- Brain network motifs are markers of loss and recovery of consciousness.Scientific reports · 2021Article
- Neural Correlates of the Shamanic State of Consciousness.Frontiers in human neuroscience · 2021Article
- Granger Causality of the Electroencephalogram Reveals Abrupt Global Loss of Cortical Information Flow during Propofol-induced Loss of Responsiveness.Anesthesiology · 2020Article
- First-order synchronization transition in a large population of strongly coupled relaxation oscillators.Science advances · 2020Article
- Asymmetric dynamic interaction shifts synchronized frequency of coupled oscillators.Scientific reports · 2020Article
- Brain network motif topography may predict emergence from disorders of consciousness: a case series.Neuroscience of consciousness · 2020Article
- Finding the starter motor for the engine of consciousness.British journal of anaesthesia · 2019Article
- Coherence of Visual-Evoked Gamma Oscillations Is Disrupted by Propofol but Preserved Under Equipotent Doses of Isoflurane.Frontiers in systems neuroscience · 2019Article
- General Anesthesia: A Probe to Explore Consciousness.Frontiers in systems neuroscience · 2019Article
- Role of Network Science in the Study of Anesthetic State Transitions.Anesthesiology · 2018Review
- Mechanisms of hysteresis in human brain networks during transitions of consciousness and unconsciousness: Theoretical principles and empirical evidence.PLoS computational biology · 2018Article
- How stimulation frequency and intensity impact on the long-lasting effects of coordinated reset stimulation.PLoS computational biology · 2018Article
- Neural Correlates of Unconsciousness in Large-Scale Brain Networks.Trends in neurosciences · 2018Review
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Authors and funding
8 authors at 2 institutions in 2 countries.
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Abstract
Sleep, anesthesia, and coma share a number of neural features but the recovery profiles are radically different. To understand the mechanisms of reversibility of unconsciousness at the network level, we studied the conditions for gradual and abrupt transitions in conscious and anesthetized states. We hypothesized that the conditions for explosive synchronization (ES) in human brain networks would be present in the anesthetized brain just over the threshold of unconsciousness. To test this hypothesis, functional brain networks were constructed from multi-channel electroencephalogram (EEG) recordings in seven healthy subjects across conscious, unconscious, and recovery states. We analyzed four variables that are involved in facilitating ES in generic, non-biological networks: (1) correlation between node degree and frequency, (2) disassortativity (i.e., the tendency of highly-connected nodes to link with less-connected nodes, or vice versa), (3) frequency difference of coupled nodes, and (4) an inequality relationship between local and global network properties, which is referred to as the suppressive rule. We observed that the four network conditions for ES were satisfied in the unconscious state. Conditions for ES in the human brain suggest a potential mechanism for rapid recovery from the lightly-anesthetized state. This study demonstrates for the first time that the network conditions for ES, formerly shown in generic networks only, are present in empirically-derived functional brain networks. Further investigations with deep anesthesia, sleep, and coma could provide insight into the underlying causes of variability in recovery profiles of these unconscious states.
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