ArticleAnesthesiology2022
Propofol-induced Unresponsiveness Is Associated with a Brain Network Phase Transition.
Article in Anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- Study on EEG neural oscillation characteristics during ciprofol general anesthesia.Journal of anesthesia · 2026Observational
- Cellular and Microcircuit Mechanisms of Anesthetic Disruption of Conscious-State Organization.Cells · 2026Review
- Esketamine Preserves Network Connectivity and Promotes Recovery in Consciousness Disorders.CNS neuroscience & therapeutics · 2026Article
- Neurophysiological connectomic signatures of consciousness during propofol-induced general anesthesia.Cell reports. Medicine · 2026Article
- Impact of Anesthesia on Brain Functional Networks in Moyamoya Disease and Spinal Lesions.CNS neuroscience & therapeutics · 2025Article
- Anesthesia and the neurobiology of consciousness.Neuron · 2024Review
- Exploring effects of anesthesia on complexity, differentiation, and integrated information in rat EEG.Neuroscience of consciousness · 2024Article
- A scoping review for building a criticality-based conceptual framework of altered states of consciousness.Frontiers in systems neuroscience · 2023Article
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3 authors at 2 institutions in 2 countries.
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Abstract
backgroundThe wakeful brain can easily access and coordinate a large repertoire of different states-dynamics suggestive of "criticality." Anesthesia causes loss of criticality at the level of electroencephalogram waveforms, but the criticality of brain network connectivity is less well studied. The authors hypothesized that propofol anesthesia is associated with abrupt and divergent changes in brain network connectivity for different frequencies and time scales-characteristic of a phase transition, a signature of loss of criticality.
methodsAs part of a previously reported study, 16 volunteers were given propofol in slowly increasing brain concentrations, and their behavioral responsiveness was assessed. The network dynamics from 31-channel electroencephalogram data were calculated from 1 to 20 Hz using four phase and envelope amplitude-based functional connectivity metrics that covered a wide range of time scales from milliseconds to minutes. The authors calculated network global efficiency, clustering coefficient, and statistical complexity (using the Jensen-Shannon divergence) for each functional connectivity metric and compared their findings with those from an in silico Kuramoto network model.
resultsThe transition to anesthesia was associated with critical slowing and then abrupt profound decreases in global network efficiency of 2 Hz power envelope metrics (from mean ± SD of 0.64 ± 0.15 to 0.29 ± 0.28 absolute value, P < 0.001, for medium; and from 0.47 ± 0.13 to 0.24 ± 0.21, P < 0.001, for long time scales) but with an increase in global network efficiency for 10 Hz weighted phase lag index (from 0.30 ± 0.20 to 0.72 ± 0.06, P < 0.001). Network complexity decreased for both the 10 Hz hypersynchronous (0.44 ± 0.13 to 0.23 ± 0.08, P < 0.001), and the 2 Hz asynchronous (0.73 ± 0.08 to 0.40 ± 0.13, P < 0.001) network states. These patterns of network coupling were consistent with those of the Kuramoto model of an order-disorder phase transition.
conclusionsAround loss of behavioral responsiveness, a small increase in propofol concentrations caused a collapse of long time scale power envelope connectivity and an increase in 10 Hz phase-based connectivity-suggestive of a brain network phase transition. EDITOR’S PERSPECTIVE:
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.