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Distinct EEG signatures differentiate unconsciousness and disconnection during anaesthesia and sleep.

Cameron P Casey, Sean Tanabe, Zahra Z Farahbakhsh, Margaret Parker, Amber Bo, Marissa White, Tyler Ballweg, Andrew M. McIntosh, William Filbey, Yuri B Saalmann, Robert A Pearce, Robert D. Sanders

British Journal of Anaesthesia February 9, 2022 DOI: 10.1016/j.bja.2022.01.010 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study with serial awakenings and machine learning classification Peer reviewed
Population Volunteers undergoing dexmedetomidine sedation, propofol sedation, or natural sleep with high-density EEG monitoring
Interventions Dexmedetomidine Propofol
Measures occipital delta power (0.5-4 Hz), area under the receiver operating characteristic curve (AUC), support vector machine classification
Keywords Humans Unconsciousness Propofol Dexmedetomidine Hypnotics and sedatives Electroencephalography Anesthesia Sleep EEG Machine learning Sensory disconnection
Registration NCT03284307
Key findings Occipital delta power distinguished sensory disconnection from unconsciousness during dexmedetomidine sedation but not during sleep or propofol sedation. Machine learning identified distinct EEG signatures of sensory disconnection and unconsciousness in dexmedetomidine data that generalized to sleep/propofol, with sensory disconnection linked to broad spatial and spectral changes and unconsciousness to focal decreases in anterior and posterior cingulate cortices.

Abstract

Background: How conscious experience becomes disconnected from the environment, or disappears, across arousal states is unknown. We sought to identify the neural correlates of sensory disconnection and unconsciousness using a novel serial awakening paradigm.

Methods: Volunteers were recruited for sedation with dexmedetomidine i.v., propofol i.v., or natural sleep with high-density EEG monitoring and serial awakenings to establish whether subjects were in states of disconnected consciousness or unconsciousness in the preceding 20 s. The primary outcome was classification of conscious states by occipital delta power (0.5-4 Hz). Secondary analyses included derivation (dexmedetomidine) and validation (sleep/propofol) studies of EEG signatures of conscious states.

Results: Occipital delta power differentiated disconnected and unconscious states for dexmedetomidine (area under the curve [AUC] for receiver operating characteristic 0.605 [95% confidence interval {CI}: 0.516; 0.694]) but not for sleep/propofol (AUC 0.512 [95% CI: 0.380; 0.645]). Distinct source localised signatures of sensory disconnection (AUC 0.999 [95% CI: 0.9954; 1.0000]) and unconsciousness (AUC 0.972 [95% CI: 0.9507; 0.9879]) were identified using support vector machine classification of dexmedetomidine data. These findings generalised to sleep/propofol (validation data set: sensory disconnection [AUC 0.743 {95% CI: 0.6784; 0.8050}]) and unconsciousness (AUC 0.622 [95% CI: 0.5176; 0.7238]). We identified that sensory disconnection was associated with broad spatial and spectral changes. In contrast, unconsciousness was associated with focal decreases in activity in anterior and posterior cingulate cortices.

Conclusions: These findings may enable novel monitors of the anaesthetic state that can distinguish sensory disconnection and unconsciousness, and these may provide novel insights into the biology of arousal. Clinical

Trial Registration: NCT03284307.

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