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Resting state EEG relates to short- and long-term cognitive functioning after cardiac arrest
A B Glimmerveen1, M M L H Verhulst1, N L M de Kruijf1
1Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands; Clinical Neurophysiology, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
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|May 26, 2024
Summary
Quantitative EEG measures can predict short-term cognitive function in cardiac arrest survivors. Specific measures like normalized alpha-to-theta ratio (nATR) show potential for early cognitive outcome prediction after cardiac arrest.
Area of Science:
- Neuroscience
- Cardiology
- Neurology
Background:
- Persistent cognitive impairment affects approximately half of cardiac arrest survivors.
- Early screening is recommended for at-risk patients, but optimal methods are debated.
- Identifying reliable predictors of cognitive function post-cardiac arrest is crucial.
Purpose of the Study:
- To identify quantitative electroencephalogram (EEG) measures correlated with cognitive function after cardiac arrest.
- To explore the potential of these EEG measures for predicting short- and long-term cognitive outcomes.
Main Methods:
- Analysis of 20-minute resting-state EEG data from 80 cardiac arrest survivors around one week post-event.
- Calculation of EEG parameters: power spectral density, normalized alpha-to-theta ratio (nATR), peak frequency, and center of gravity (CoG).
- Correlation of EEG measures with global cognitive function (Montreal Cognitive Assessment - MoCA) at 1, 3, and 12 months, and neuropsychological tests at 12 months.
Main Results:
- Several EEG parameters, including nATR and peak frequency, significantly correlated with MoCA scores at one week post-cardiac arrest.
- nATR also showed a significant relationship with MoCA scores at three months.
- nATR and peak frequency demonstrated a correlation with memory performance at twelve months.
Conclusions:
- Early resting-state EEG parameters are associated with short-term cognitive function in cardiac arrest survivors.
- Specific EEG metrics show promise in predicting memory function one year after cardiac arrest.
- Further research is needed to integrate these EEG findings into multimodal prediction models for cognitive outcomes.
