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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
Main Authors: Zubler, Frédéric, Steimer, Andreas, Kurmann, Rebekka, Bandarabadi, Mojtaba, Novy, Jan, Gast, Heidemarie, Oddo, Mauro, Schindler, Kaspar, Rossetti, Andrea O
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cited_by cdi_FETCH-LOGICAL-c463t-5aef9adc857f40b60348ef8f26d3a8a456699547fe68b07fc5cf20f2fb60a4b83
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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
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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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