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EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest

Highlights • Predicting neurological outcome after cardiac arrest remains a challenging task. • Bivariate EEG synchronization measures can contribute to early prognostication. • Further studies are needed to evaluate the place of quantitative EEG within multi-modal prognostic algorithms.

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Bibliographic Details
Published in:Clinical neurophysiology 2017-04, Vol.128 (4), p.635-642
Main Authors: Zubler, Frédéric, Steimer, Andreas, Kurmann, Rebekka, Bandarabadi, Mojtaba, Novy, Jan, Gast, Heidemarie, Oddo, Mauro, Schindler, Kaspar, Rossetti, Andrea O
Format: Article
Language:English
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Summary:Highlights • Predicting neurological outcome after cardiac arrest remains a challenging task. • Bivariate EEG synchronization measures can contribute to early prognostication. • Further studies are needed to evaluate the place of quantitative EEG within multi-modal prognostic algorithms.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2017.01.020