Evidence mapPaperPMID 41537509Full record

ReviewAnesthesiology2025

Clinical Electroencephalography for Anesthesiologists and Intensivists: Part 2-Physiologic Signatures and Active Management.

Christian S Guay, Uday Agrawal, Bryan Tseng, Sebastian Gallo, David R Schreier, Emery N Brown

Abstract readReview
In one paragraph

Review in Anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Beyond processed EEG: Towards brain-informed anaesthesia.Journal of clinical monitoring and computing · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christian S GuayDepartment of Anesthesiology, Perioperative & Pain Medicine, University of Utah, Salt Lake City, Utah; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts.ORCID 0000-0001-6744-5248
Uday AgrawalDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School; Boston, Massachusetts; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Bryan TsengPicower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Sebastian GalloPicower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts.
David R SchreierDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Neurology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland.
Emery N BrownDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts.ORCID 0000-0003-2668-7819

Funding

Non-Human Primate Model for Developing Closed-Loop Anesthesia Delivery SystemsR01NS123120 · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · 2025 to 2025
$365k
NIGMS NIH HHS P01 GM118269NINDS NIH HHS R01 NS123120Swiss National Science Foundation P500PM_210834
6 · The paper itself

Abstract

The electroencephalogram (EEG) offers physicians a window into their patients' neurologic and broader physiologic states. Frontal EEG interpretation is emerging as a core competency for anesthesiologists and intensivists. Part 1 of this series reviewed the basics of frontal EEG, including relevant biophysics, neuroanatomy, and anesthetic-mediated frontal EEG signatures of sedation and unconsciousness. In part 2, the authors outline a set of physiologic signatures that integrate the basics of EEG interpretation presented in part 1 with the systemic pathophysiology commonly seen in critical illness. They organize these signatures into a systematic framework to facilitate use of frontal EEG monitoring in the active management of critically ill patients. Finally, the authors use case examples to illustrate how the signatures and framework can guide patient-specific management.

Indexed as

AnesthesiologistsCritical CareElectroencephalographyCritical IllnessHumans

Identifiers

PMID41537509
PMCPMC12594142

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.