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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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Published in: | Clinical neurophysiology 2017-04, Vol.128 (4), p.635-642 |
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container_end_page | 642 |
container_issue | 4 |
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container_title | Clinical neurophysiology |
container_volume | 128 |
creator | Zubler, Frédéric Steimer, Andreas Kurmann, Rebekka Bandarabadi, Mojtaba Novy, Jan Gast, Heidemarie Oddo, Mauro Schindler, Kaspar Rossetti, Andrea O |
description | 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. |
doi_str_mv | 10.1016/j.clinph.2017.01.020 |
format | article |
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subjects | Adult Aged Anoxic-ischemic encephalopathy Brain Ischemia - diagnosis Brain Ischemia - etiology Brain Ischemia - pathology Cortical Synchronization Female Heart Arrest - complications Heart Arrest - diagnosis Humans Male Middle Aged Neurology Predictive Value of Tests Prognostication Quantitative EEG Synchronization Trauma Severity Indices |
title | EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest |
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