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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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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 1388-2457 1872-8952 |
DOI: | 10.1016/j.clinph.2017.01.020 |