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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

Brain Sciences August 9, 2026 DOI: 10.3390/brainsci16080845 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Narrative review Peer reviewed
Topics Ketamine Esketamine
Keywords Antidepressant Brain connectivity Consciousness Critical care Depth of anesthesia Dissociation Electroencephalography
Key findings The authors argue that ketamine's EEG effects are dose- and context-dependent and differ from those of GABAergic anesthetics, so processed indices such as bispectral index and spectral entropy should be interpreted cautiously when ketamine is used. They propose a dose-state framework distinguishing behavioral responsiveness, environmental connectedness, and conscious experience, and note that validated ketamine-specific EEG biomarkers and prospective monitoring algorithms are not yet available.

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.

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