ArticleFrontiers in human neuroscience2017
Network Efficiency and Posterior Alpha Patterns Are Markers of Recovery from General Anesthesia: A High-Density Electroencephalography Study in Healthy Volunteers.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.
- A methodological guideline for consciousness assessment via neural electrophysiological activity.Military Medical Research · 2025Guideline
- Brain network disintegration as a final common pathway for delirium: a systematic review and qualitative meta-analysis.NeuroImage. Clinical · 2019Pooled it
- Characteristics of electroencephalographic changes induced by different hypnotics in elderly patients: a narrative review.Korean journal of anesthesiology · 2026Review
- General anaesthesia decreases the uniqueness of brain functional connectivity across individuals and species.Nature human behaviour · 2025Article
- Distinct effects of global signal regression on brain activity during propofol and sevoflurane anesthesia.Frontiers in neuroscience · 2025Article
- List2Net: Linking multiple lists of biological data in a network context.Computational and structural biotechnology journal · 2024Article
- Article
- Cortical Dynamics and Postoperative Cognition: Reply.Anesthesiology · 2024Article
- Evaluation of putative signatures of consciousness using specific definitions of responsiveness, connectedness, and consciousness.British journal of anaesthesia · 2024Article
- The nature of consciousness in anaesthesia.BJA open · 2023Review
- Electroencephalographic Biomarkers, Cerebral Oximetry, and Postoperative Cognitive Function in Adult Noncardiac Surgical Patients: A Prospective Cohort Study.Anesthesiology · 2023Observational
- [Processed EEG for personalized dosing of anesthetics during general anesthesia].Die Anaesthesiologie · 2023Review
- Measures of Information Content during Anesthesia and Emergence in the Caenorhabditis elegans Nervous System.Anesthesiology · 2023Article
- A Real-Time Neurophysiologic Stress Test for the Aging Brain: Novel Perioperative and ICU Applications of EEG in Older Surgical Patients.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Review
- The posterior dominant rhythm: an electroencephalographic biomarker for cognitive recovery after general anaesthesia.British journal of anaesthesia · 2023Article
- Effect of Anesthetics on Functional Connectivity of Developing Brain.Frontiers in human neuroscience · 2022Review
- Paradoxical markers of conscious levels: Effects of propofol on patients in disorders of consciousness.Frontiers in human neuroscience · 2022Article
- Brain network integration dynamics are associated with loss and recovery of consciousness induced by sevoflurane.Human brain mapping · 2021Article
- Article
- Brain network motifs are markers of loss and recovery of consciousness.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent studies have investigated local oscillations, long-range connectivity, and global network patterns to identify neural changes associated with anesthetic-induced unconsciousness. These studies typically employ anesthetic protocols that either just cross the threshold of unconsciousness, or induce deep unconsciousness for a brief period of time-neither of which models general anesthesia for major surgery. To study neural patterns of unconsciousness and recovery in a clinically-relevant context, we used a realistic anesthetic regimen to induce and maintain unconsciousness in eight healthy participants for 3 h. High-density electroencephalogram (EEG) was acquired throughout and for another 3 h after emergence. Seven epochs of 5-min eyes-closed resting states were extracted from the data at baseline as well as 30, 60, 90, 120, 150, and 180-min post-emergence. Additionally, 5-min epochs were extracted during induction, unconsciousness, and immediately prior to recovery of consciousness, for a total of 10 analysis epochs. The EEG data in each epoch were analyzed using source-localized spectral analysis, phase-lag index, and graph theoretical techniques. Posterior alpha power was significantly depressed during unconsciousness, and gradually approached baseline levels over the 3 h recovery period. Phase-lag index did not distinguish between states of consciousness or stages of recovery. Network efficiency was significantly depressed and network clustering coefficient was significantly increased during unconsciousness; these graph theoretical measures returned to baseline during the 3 h recovery period. Posterior alpha power may be a potential biomarker for normal recovery of functional brain networks after general anesthesia.
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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.