Quantitative EEG Analyses for Outcome Prediction in Comatose Patients After Cardiac Arrest. | ScholarDeck

Paper

Quantitative EEG Analyses for Outcome Prediction in Comatose Patients After Cardiac Arrest.

New research · Neurology

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 13h

ReviewJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society· Jul 2026

Quantitative EEG Analyses for Outcome Prediction in Comatose Patients After Cardiac Arrest.

Michel J A M van Putten, Marleen C Tjepkema-Cloostermans

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Neurocritical CareReviewPrognosisQ3IF 1.7

Quantitative EEG predicts poor neurologic outcome after cardiac arrest with over 99% specificity.

Quantitative EEG Analyses for Outcome Prediction in Comatose Patients After Cardiac Arrest.

Michel J A M van Putten, Marleen C Tjepkema-Cloostermans

Journal of clinical neurophysiology · Jul 2026 · Q3 in Neurology

Background

Conventional visual interpretation of EEG has several limitations, including inter- and intraobserver variability, a substantial review burden, and the need to reduce a continuously evolving spatiotemporal signal to categorical descriptions.

Results

>99%

almost never wrong when predicting poor outcome, missing few good-recovery patients

More results

In this review, we briefly summarize the main approaches that have been used to support EEG-based outcome prediction in comatose patients after cardiac arrest.

Furthermore, qEEG increases objectivity, reducing dependence on categorical wording and supporting continuous bedside assessment of neurologic recovery.

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Conclusion

Within a multimodal prognostic framework, qEEG can serve as a valuable decision-support tool to assist final assessment by a trained electroencephalographer.

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