Literature DB >> 20652443

Intracortical EEG for the detection of vasospasm in patients with poor-grade subarachnoid hemorrhage.

R Morgan Stuart1, Allen Waziri, David Weintraub, Michael J Schmidt, Luis Fernandez, Raimund Helbok, Pedro Kurtz, Kiwon Lee, Neeraj Badjatia, Ron Emerson, Stephan A Mayer, E Sander Connolly, Lawrence J Hirsch, Jan Claassen.   

Abstract

BACKGROUND: To study the feasibility of utilizing intracortical electroencephalography (ICE) including quantitative EEG (qEEG) analysis for the detection of vasospasm in five consecutive poor-grade SAH patients.
METHODS: Intracortical electroencephalography (ICE) was obtained via a single miniature parenchymal 8-contact depth electrode placed at the bedside. Quantitative EEG parameters, calculated on surface EEG and ICE, included alpha/delta ratio (ADR), mean amplitude, suppression percent, and total power. Percent changes between averaged values over 4-6 h of baseline EEG and EEG prior to angiography were calculated. The entire continuous qEEG recording for each patient was then reviewed to determine optimal automated alarm criteria.
RESULTS: ICE ADR was the most accurate for predicting angiographic vasospasm (5/5). ICE ADR decreased between baseline and follow-up by 42% (from 0.56 ± 0.07 to 0.32 ± 0.03) for those with vasospasm (N = 3) compared to 17% (0.62 ± 0.06 to 0.51 ± 0.03) for those without (N = 2). A sustained decrease in the ICE ADR from baseline (>25% for ≥ 4 h) occurred in all three patients with angiographically confirmed vasospasm and not in the two without; this decline occurred 1-3 days prior to angiographic confirmation.
CONCLUSIONS: Intracortical EEG is promising for detecting ischemia from vasospasm in poor-grade SAH patients, may be superior to scalp EEG, and allow automated detection, particularly using the ADR. Larger studies are needed to better define the effectiveness of this approach.

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Year:  2010        PMID: 20652443     DOI: 10.1007/s12028-010-9414-6

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  7 in total

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