ArticleBritish journal of anaesthesia2025
Aperiodic component of the electroencephalogram power spectrum reflects the hypnotic level of anaesthesia.
Article in British journal of anaesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Detecting EEG index of arousal in sleeping patients with unresponsive wakefulness syndrome.iScience · 2026Article
- Association between aperiodic activity and impulsivity in individuals with methamphetamine use disorder.Psychopharmacology · 2026Article
- Advanced bilateral EEG monitoring for neuroprotection in high-risk cardiac surgery: a successful case report of emergency ascending aortic replacement.BMC anesthesiology · 2026Article
- Divergent periodic and aperiodic EEG signatures of Propofol versus sevoflurane anesthesia: a comparative neurophysiological study.Frontiers in medicine · 2026Article
- Perioperative dynamic EEG patterns correlated with changes in cognitive subdomains.Clinical neurophysiology practice · 2026Article
- A black swan spotted during emergence from general anaesthesia: alpha and delta oscillations present in a conversing patient.British journal of anaesthesia · 2025Article
- Aperiodic component of the electroencephalogram power spectrum reflects the hypnotic level of anaesthesia. Comment on Br J Anaesth 2025; 134: 392-401.British journal of anaesthesia · 2025Article
- Altered periodic and aperiodic activities in patients with disorders of consciousness.Frontiers in neuroscience · 2025Article
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8 authors.
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Abstract
backgroundAperiodic (nonoscillatory) electroencephalogram (EEG) activity can be characterised by its power spectral density, which decays according to an inverse power law. Previous studies reported a shift in the spectral exponent α from consciousness to unconsciousness. We investigated the impact of aperiodic EEG activity on parameters used for anaesthesia monitoring to test the hypothesis that aperiodic EEG activity carries information about the hypnotic component of general anaesthesia.
methodsWe used simulated noise with varying inverse power law exponents α and the aperiodic component of EEGs recorded during wakefulness (n=62) and maintenance of general anaesthesia (n=125) in a diverse sample of surgical patients receiving sevoflurane, desflurane, or propofol, extracted using the Fitting Oscillations and One-Over-F algorithm. Four spectral EEG parameters (beta ratio, spectral edge frequency 95, spectral entropy, and alpha-to-delta ratio) and two time-series parameters (approximate [ApEn] and permutation entropy [PeEn]) were calculated from the simulated signals and human EEG data. Performance in distinguishing between consciousness and unconsciousness was evaluated with AUC values.
resultsWe observed an increase in the spectral exponent from consciousness to unconsciousness (AUC=0.98 (0.94-1)). The spectral parameters exhibited linear or nonlinear responses to changes in α. Using aperiodic EEG activity instead of the entire spectrum for spectral parameter calculation improved the separation between consciousness and unconsciousness for all parameters (AUC
conclusionsAperiodic EEG activity could improve discrimination between consciousness and unconsciousness using spectral analyses.
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