Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study
Authors' conclusion
Although EEG from general anaesthesia may enable state-of-the-art age prediction, differences between anaesthetic drugs can impact the effectiveness and validity of brain-age models.
Study context
- Population
- Patients under stable propofol or sevoflurane GA with four-electrode EEG monitoring
- Participants
- 323 participants
Methodological detailsmachine learning, secondary use of EEG monitoring data
- Machine learning
- Secondary use of EEG monitoring data
Primary result
As reported in the abstract
Age prediction from EEG (spatial patterns across electrodes along the entire power spectrum), propofol anaesthesia
Mean absolute error
8.2 yr
R2
0.65
Further findings
Brain age and intraoperative burst suppression (ASA 1 or 2)
- Brain age positively correlated with intraoperative burst suppression
Brain age and intraoperative burst suppression (higher ASA scores)
- Brain age negatively correlated with burst suppression, suggesting hidden confounders
Model generalisation to sevoflurane anaesthesia
- Age-related EEG signatures specific to propofol; limited generalisation to sevoflurane
Original publication
Repurposing electroencephalogram monitoring of general anaesthesia for building biomarkers of brain ageing: an exploratory study. BJA Open. Published 16 June 2023. doi:10.
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