ArticleJournal of neural engineering2013
Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression.
Article in Journal of neural engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03442179 (Cognitive Outcomes and Neuroimages Associated With Anesthesia-Related EEG Signatures), which is not on this map. Cited by 40 papers.
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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.
Cognitive Outcomes and Neuroimages Associated With Anesthesia-Related EEG Signatures
Who cites it
40 citing papers in PubMed.
- Variability in pharmacologically-induced coma for treatment of refractory status epilepticus.PloS one · 2018Trial
- Deep learning based depth of anaesthesia monitoring using EEG: a 4-layer CNN model with PSD and BSR correlation features.Physical and engineering sciences in medicine · 2026Article
- Ambient Music Decreases EEG Burst-Suppression Ratio During General Anesthesia in Rats.Sensors (Basel, Switzerland) · 2026Article
- A Systematic Review of How Cardiopulmonary Bypass Parameters Influence Electroencephalogram Signals.Brain sciences · 2026Review
- Heightened propofol sensitivity and distinct electroencephalographic signatures in patients with valvular heart disease.BMC anesthesiology · 2026Observational
- Sex differences in propofol-induced loss of consciousness: a clinical study on effect-site concentration and electroencephalographic features.American journal of translational research · 2026Article
- NDUFA10-Mediated ATP Reduction in Medial Prefrontal Cortex Exacerbates Burst Suppression in Aged Mice.CNS neuroscience & therapeutics · 2025Article
- Influence of anesthetic agent and burst suppression on postoperative delirium in elderly patients: a prospective cohort study with automated EEG analysis.Frontiers in aging neuroscience · 2025Article
- Estimating and detecting slow wave events in EEG.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Cerebellar Purkinje cell firing promotes conscious recovery from anesthesia state through coordinating neuronal communications with motor cortex.Theranostics · 2024Article
- Mapping general anesthesia states based on electro-encephalogram transition phases.NeuroImage · 2024Article
- Selective optogenetic modulation of the PBN terminals in the lateral hypothalamic area and basal forebrain regulates emergence from isoflurane anesthesia in mice.BMC anesthesiology · 2023Article
- Electric Field Effects on Brain Activity: Implications for Epilepsy and Burst Suppression.Cells · 2023Article
- Modulatory dynamics mark the transition between anesthetic states of unconsciousness.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Diversity of electroencephalographic patterns during propofol-induced burst suppression.Frontiers in systems neuroscience · 2023Article
- A hidden Markov model reliably characterizes ketamine-induced spectral dynamics in macaque local field potentials and human electroencephalograms.PLoS computational biology · 2021Article
- Does electroencephalographic burst suppression still play a role in the perioperative setting?Best practice & research. Clinical anaesthesiology · 2021Review
- Cell-type-specific imaging of neurotransmission reveals a disrupted excitatory-inhibitory cortical network in isoflurane anaesthesia.EBioMedicine · 2021Article
- Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia.PloS one · 2021Article
- Sedation-Induced Burst Suppression Predicts Positive Outcome Following Traumatic Brain Injury.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveBurst suppression is an electroencephalogram pattern in which bursts of electrical activity alternate with an isoelectric state. This pattern is commonly seen in states of severely reduced brain activity such as profound general anesthesia, anoxic brain injuries, hypothermia and certain developmental disorders. Devising accurate, reliable ways to quantify burst suppression is an important clinical and research problem. Although thresholding and segmentation algorithms readily identify burst suppression periods, analysis algorithms require long intervals of data to characterize burst suppression at a given time and provide no framework for statistical inference. APPROACH: We introduce the concept of the burst suppression probability (BSP) to define the brain's instantaneous propensity of being in the suppressed state. To conduct dynamic analyses of burst suppression we propose a state-space model in which the observation process is a binomial model and the state equation is a Gaussian random walk. We estimate the model using an approximate expectation maximization algorithm and illustrate its application in the analysis of rodent burst suppression recordings under general anesthesia and a patient during induction of controlled hypothermia. MAIN
resultThe BSP algorithms track burst suppression on a second-to-second time scale, and make possible formal statistical comparisons of burst suppression at different times. SIGNIFICANCE: The state-space approach suggests a principled and informative way to analyze burst suppression that can be used to monitor, and eventually to control, the brain states of patients in the operating room and in the intensive care unit.
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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.