EEG patterns in hypoxic encephalopathies (post-cardiac arrest syndrome): Fluctuations, transitions, and reactions
Journal of Clinical Neurophysiology, ISSN: 0736-0258, Vol: 30, Issue: 5, Page: 477-489
2013
- 53Citations
- 115Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations53
- Citation Indexes51
- 51
- CrossRef37
- Policy Citations2
- 2
- Captures115
- Readers115
- 93
- 22
Review Description
In patients with coma resulting from hypoxic encephalopathy (e.g., after cardiac arrest), the EEG may reflect the severity of brain dysfunction, although the exact relationship among the EEG changes, the extent of neuronal damage, and consequent prognosis is still under study. Many prognostications are based on particular EEG patterns at a time point, such as burst suppression or generalized periodic discharges, but with sequential, repeated, or with prolonged or continuous EEG monitoring, it has become increasingly clear that more information might be gleaned from EEG pattern changes over time. Short-term fluctuations (as opposed to permanent transitions), or preserved reactions to exogenous stimuli, have to be differentiated. This review presents many of the typical postanoxic EEG patterns, along with their evolution over time. This preliminary report illustrates the temporal dynamic changes of EEG over time. It is hoped that it will act as a starting point for prospective and systematic investigation to test whether EEG evolution and transitions add diagnostic and prognostic value. © 2013 by the American Clinical Neurophysiology Society.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84885456823&origin=inward; http://dx.doi.org/10.1097/wnp.0b013e3182a73e47; http://www.ncbi.nlm.nih.gov/pubmed/24084181; http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00004691-201310000-00008; http://journals.lww.com/00004691-201310000-00008; http://dx.doi.org/10.1097/WNP.0b013e3182a73e47; https://dx.doi.org/10.1097/WNP.0b013e3182a73e47; https://journals.lww.com/clinicalneurophys/Abstract/2013/10000/EEG_Patterns_in_Hypoxic_Encephalopathies.8.aspx
Ovid Technologies (Wolters Kluwer Health)
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