CC BY 4.0 · J Neuroanaesth Crit Care
DOI: 10.1055/s-0043-1777442
Case Report

Processed Electroencephalogram in Intracranial Hypertension and Brain Hypoperfusion: A Case Report

1   Department of Anesthesiology, Hospital Zambrano Hellion TecSalud; School of Medicine and Health Sciences of the Tecnológico de Monterrey, Nuevo León, México.
,
Luis C. Becerra-Lio
2   Department of Anesthesiology Resident Doctor Multicenter Medical Specialties Program TecSalud, Tecnológico de Monterrey, Nuevo León, México.
,
Edwin O. Guillén-Ramírez
2   Department of Anesthesiology Resident Doctor Multicenter Medical Specialties Program TecSalud, Tecnológico de Monterrey, Nuevo León, México.
,
Luis A. Pérez-Ruano
3   Department of Neurosurgery, Hospital Zambrano Hellion TecSalud; School of Medicine and Health Sciences of the Tecnológico de Monterrey, Nuevo León, México.
,
Jose A. Figueroa-Sanchez
3   Department of Neurosurgery, Hospital Zambrano Hellion TecSalud; School of Medicine and Health Sciences of the Tecnológico de Monterrey, Nuevo León, México.
› Author Affiliations

Abstract

Processed electroencephalogram (pEEG) is a record of electrical activity of the brain. In certain circumstances, it can reflect pathophysiological alterations and hemodynamic compromise. A 79-year-old woman diagnosed with subarachnoid hemorrhage and postcardiac arrest status was transferred for emergency ventriculostomy. The frontal monitoring with pEEG (SedLine, Masimo) from baseline showed low frontal activity, left and right spectral edge frequency (SEF) without numerical value, low activity in bilateral density spectral array (DSA), and zero in the patient state index (PSI). After ventricular puncture and placement of the ventriculostomy system, the pEEG showed an increase in the frequency and amplitude of the four-channel waveform of the pEEG, DSA, and numerical value of SEF and PSI. The use of pEEG can determine the depth of anesthesia and perhaps detect various cerebral and systemic pathophysiological and hemodynamic alterations; however, single monitoring may not be as predictive, so the use of multimodal monitoring is recommended.



Publication History

Article published online:
05 April 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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