ArticleFrontiers in aging neuroscience2022
Unveiling age-independent spectral markers of propofol-induced loss of consciousness by decomposing the electroencephalographic spectrum into its periodic and aperiodic components.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Aperiodic and Hurst EEG exponents across early human brain development: A systematic review.Developmental cognitive neuroscience · 2024Pooled it
- Mechanical Ventilation-Associated Changes in Hippocampal Electroencephalogram: A Cross-Species Study in Humans and Rats.CNS neuroscience & therapeutics · 2026Article
- Age-dependent frontal EEG changes under remimazolam: reconsidering EEG monitoring interpretation.Korean journal of anesthesiology · 2026Article
- Age-dependent electroencephalogram alterations under remimazolam anesthesia.Korean journal of anesthesiology · 2026Observational
- Characteristics of electroencephalographic changes induced by different hypnotics in elderly patients: a narrative review.Korean journal of anesthesiology · 2026Review
- The role of etiology in the identification of clinical markers of consciousness: comparing EEG alpha power, complexity, and spectral exponent.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury.Annals of clinical and translational neurology · 2025Article
- Age-Related Electroencephalographic Delta and Alpha Oscillations During Sedation with Target-Controlled Propofol Infusion.Journal of clinical medicine · 2025Article
- Normative characterization of age-related periodic and aperiodic activity in resting-state real-world clinical EEG recordings.Frontiers in aging neuroscience · 2025Article
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5 authors at 1 institution in 1 country.
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Abstract
Background: Induction of general anesthesia with propofol induces radical changes in cortical network organization, leading to unconsciousness. While perioperative frontal electroencephalography (EEG) has been widely implemented in the past decades, validated and age-independent EEG markers for the timepoint of loss of consciousness (LOC) are lacking. Especially the appearance of spatially coherent frontal alpha oscillations (8-12 Hz) marks the transition to unconsciousness.Here we explored whether decomposing the EEG spectrum into its periodic and aperiodic components unveiled markers of LOC and investigated their age-dependency. We further characterized the LOC-associated alpha oscillations by parametrizing the adjusted power over the aperiodic component, the center frequency, and the bandwidth of the peak in the alpha range. Methods: In this prospective observational trial, EEG were recorded in a young (18-30 years) and an elderly age-cohort (≥ 70 years) over the transition to propofol-induced unconsciousness. An event marker was set in the EEG recordings at the timepoint of LOC, defined with the suppression of the lid closure reflex. Spectral analysis was conducted with the multitaper method. Aperiodic and periodic components were parametrized with the FOOOF toolbox. Aperiodic parametrization comprised the exponent and the offset. The periodic parametrization consisted in the characterization of the peak in the alpha range with its adjusted power, center frequency and bandwidth. Three time-segments were defined: preLOC (105 - 75 s before LOC), LOC (15 s before to 15 s after LOC), postLOC (190 - 220 s after LOC). Statistical significance was determined with a repeated-measures ANOVA. Results: Loss of consciousness was associated with an increase in the aperiodic exponent (young: Conclusion: Decomposing the EEG spectrum over induction of anesthesia into its periodic and aperiodic components unveiled novel age-independent EEG markers of propofol-induced LOC: the aperiodic exponent and offset as well as the center frequency and adjusted power of the power peak in the alpha range.
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