Clinical Research Directory

Electroencephalographic Trajectories During Emergence From Inhalational and Total Intravenous Anesthesia

Sponsor: Ruijin Hospital

Summary

General anesthesia emergence is a critical transition during which patients recover from an anesthetic-induced unconscious state to consciousness. This period is associated with various early postoperative complications, including emergence agitation, postoperative nausea and vomiting, delayed recovery, and impaired recovery quality in the Post-Anesthesia Care Unit (PACU). Although total intravenous anesthesia (TIVA) and inhalational anesthesia (IA) are widely used maintenance strategies, differences in their effects on cerebral recovery patterns during emergence remain incompletely understood. Conventional assessments of emergence, such as time to eye opening, extubation time, and clinical sedation assessments, mainly reflect behavioral recovery and cannot directly characterize the dynamic process of cerebral functional recovery. Electroencephalography (EEG) provides continuous and non-invasive measurement of cortical activity and may enable objective characterization of anesthetic emergence. Previous studies suggest that emergence from anesthesia involves dynamic transitions among distinct EEG states rather than a simple reversal of anesthetic induction, and specific EEG trajectories may be associated with abnormal emergence and PACU delirium. Therefore, this single-center prospective observational cohort study aims to continuously collect emergence-phase EEG data from patients receiving TIVA or IA without altering clinical anesthesia management. The study will compare EEG trajectory characteristics, spectral features, and aperiodic parameters between different anesthesia maintenance modalities and explore their associations with emergence quality and early postoperative complications. This study may provide further insights into neurophysiological patterns of anesthetic emergence and support future optimization of emergence monitoring and perioperative management.

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