ArticlePhysical review letters2015
Percolation Model of Sensory Transmission and Loss of Consciousness Under General Anesthesia.
Article in Physical review letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Neurophysiological connectomic signatures of consciousness during propofol-induced general anesthesia.Cell reports. Medicine · 2026Article
- Eight challenges in developing theory of intelligence.Frontiers in computational neuroscience · 2024Article
- Beyond alpha power: EEG spatial and spectral gradients robustly stratify disorders of consciousness.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Network location and clustering of genetic mutations determine chronicity in a stylized model of genetic diseases.Scientific reports · 2022Article
- Percolation may explain efficiency, robustness, and economy of the brain.Network neuroscience (Cambridge, Mass.) · 2022Article
- Regulation and drug modulation of a voltage-gated sodium channel: Pivotal role of the S4-S5 linker in activation and slow inactivation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Spiral Wave Propagation in Communities with Spatially Correlated Heterogeneity.Biophysical journal · 2020Article
- A Potential Mechanism of Sodium Channel Mediating the General Anesthesia Induced by Propofol.Frontiers in cellular neuroscience · 2020Article
- Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network.Frontiers in computational neuroscience · 2020Article
- Statistics of correlated percolation in a bacterial community.PLoS computational biology · 2019Article
- Signal Percolation within a Bacterial Community.Cell systems · 2018Article
- Biological conservation law as an emerging functionality in dynamical neuronal networks.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Applied analysis of ultrasound-guided ilioinguinal and iliohypogastric nerve blocks in the radical surgery of aged cervical cancer.Oncology letters · 2017Article
- Fluorine-19 NMR and computational quantification of isoflurane binding to the voltage-gated sodium channel NaChBac.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Disconnecting Consciousness: Is There a Common Anesthetic End Point?Anesthesia and analgesia · 2016Review
- Effects of Propofol General Anesthesia on Olfactory Relearning.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Neurons communicate with each other dynamically; how such communications lead to consciousness remains unclear. Here, we present a theoretical model to understand the dynamic nature of sensory activity and information integration in a hierarchical network, in which edges are stochastically defined by a single parameter p representing the percolation probability of information transmission. We validate the model by comparing the transmitted and original signal distributions, and we show that a basic version of this model can reproduce key spectral features clinically observed in electroencephalographic recordings of transitions from conscious to unconscious brain activities during general anesthesia. As p decreases, a steep divergence of the transmitted signal from the original was observed, along with a loss of signal synchrony and a sharp increase in information entropy in a critical manner; this resembles the precipitous loss of consciousness during anesthesia. The model offers mechanistic insights into the emergence of information integration from a stochastic process, laying the foundation for understanding the origin of cognition.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.