Evidence map›Paper›PMID 42651155›Full record

ReviewBrain sciences2026

Ketamine Across the Dose-State Continuum: EEG Signatures, Network Dynamics, and Implications for Brain-State Monitoring in Anesthesia and Critical Care.

Vikas Chauhan, Fareena Khan

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Vikas ChauhanDepartment of Anesthesiology, University of Mississippi Medical Center, Jackson, MS 39216, USA.ORCID 0000-0001-8800-7968
Fareena KhanDepartment of Anesthesiology, University of Mississippi Medical Center, Jackson, MS 39216, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ketamine produces clinical states ranging from subanesthetic analgesia and dissociation to anesthetic-dose behavioral unresponsiveness. Its electroencephalographic (EEG) effects differ from the slow-delta and frontal-alpha patterns commonly observed with GABAergic-dominant anesthetics and vary with exposure, administration kinetics, and co-administered agents. After anesthetic bolus dosing, ketamine may produce alternating slow-delta and gamma activity; at lower exposures, spectral and connectivity findings are more heterogeneous. When ketamine is added to propofol or volatile anesthesia, bispectral index and spectral-entropy values may remain elevated or increase, limiting their interpretation as stand-alone measures of hypnotic state. Prior syntheses have largely addressed molecular, cellular, and cortical-circuit mechanisms of dissociation; this narrative review instead synthesizes human EEG, connectivity, imaging, and selected mechanistic evidence using a dose-state framework. We distinguish behavioral responsiveness, environmental connectedness, and conscious experience; assess which network measures are technically derivable from clinical scalp recordings; and consider implications for operating-room and critical-care monitoring. Available evidence supports a cautious interpretation of processed indices and greater attention to the raw EEG, spectrogram, background hypnotic, administration pattern, and clinical context. Validated ketamine-specific EEG biomarkers and prospective monitoring algorithms are not yet available. Potential links between acute EEG effects and antidepressant mechanisms are discussed as shared upstream pathways rather than a single electrophysiological state.

Indexed as

antidepressantbrain connectivityconsciousnesscritical caredepth of anesthesiadissociationelectroencephalographyketamine

Identifiers

PMID42651155
PMCPMC13511144

What Socratic holds

Textmetadata
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.