ArticleFrontiers in neuroscience2018
Do Complexity Measures of Frontal EEG Distinguish Loss of Consciousness in Geriatric Patients Under Anesthesia?
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Assessing consciousness in patients with locked-in syndrome using their EEG.Frontiers in neuroscience · 2025Article
- Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features.Brain informatics · 2024Article
- Carving Nature at Its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory.Entropy (Basel, Switzerland) · 2023Article
- Can pain under anesthesia be measured? Pain-related brain function using functional near-infrared spectroscopy during knee surgery.Neurophotonics · 2023Article
- Application of Soft-Clustering to Assess Consciousness in a CLIS Patient.Brain sciences · 2022Article
- Consciousness and inward electromagnetic field interactions.Frontiers in human neuroscience · 2022Article
- Consciousness: Matter or EMF?Frontiers in human neuroscience · 2022Article
- Brain network integration dynamics are associated with loss and recovery of consciousness induced by sevoflurane.Human brain mapping · 2021Article
- Offline comparison of processed electroencephalogram monitors for anaesthetic-induced electroencephalogram changes in older adults.British journal of anaesthesia · 2021Article
- CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals.Entropy (Basel, Switzerland) · 2021Article
- Molecular Diversity of Anesthetic Actions Is Evident in Electroencephalogram Effects in Humans and Animals.International journal of molecular sciences · 2021Review
- Electroencephalogram-Based Complexity Measures as Predictors of Post-operative Neurocognitive Dysfunction.Frontiers in systems neuroscience · 2021Article
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- State-Dependent and Bandwidth-Specific Effects of Ketamine and Propofol on Electroencephalographic Complexity in Rats.Frontiers in systems neuroscience · 2020Article
- Decoding the circuitry of consciousness: From local microcircuits to brain-scale networks.Network neuroscience (Cambridge, Mass.) · 2020Review
- A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features.Sensors (Basel, Switzerland) · 2019Article
- Evaluating Complexity of Fetal MEG Signals: A Comparison of Different Metrics and Their Applicability.Frontiers in systems neuroscience · 2019Article
- Nonlinear dynamics captures brain states at different levels of consciousness in patients anesthetized with propofol.PloS one · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
While geriatric patients have a high likelihood of requiring anesthesia, they carry an increased risk for adverse cognitive outcomes from its use. Previous work suggests this could be mitigated by better intraoperative monitoring using indexes defined by several processed electroencephalogram (EEG) measures. Unfortunately, inconsistencies between patients and anesthetic agents in current analysis techniques have limited the adoption of EEG as standard of care. In attempts to identify new analyses that discriminate clinically-relevant anesthesia timepoints, we tested 1/
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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.