Literature DB >> 29352657

Electroencephalographic monitoring for seizure identification and prognosis in term neonates.

Shavonne L Massey1, Frances E Jensen2, Nicholas S Abend2.   

Abstract

Seizures represent a manifestation of neurological disease in the neonatal period. Historically, neonatal seizures were identified by direct clinical observation. However, since most seizures are electroencephalographic (EEG)-only (subclinical, non-convulsive) and clinical manifestations may be subtle, many clinicians place increasing importance on EEG data including conventional EEG or amplitude-integrated EEG to identify seizures in neonates. Beyond seizure identification, the EEG is a robust source of information about brain function that can be useful for neurobehavioral prognostication in some neonates. This review summarizes the available data regarding EEG for neonatal seizure diagnosis and brain function assessment.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Electroencephalography; Neonate; Seizure; Status epilepticus

Mesh:

Year:  2018        PMID: 29352657     DOI: 10.1016/j.siny.2018.01.001

Source DB:  PubMed          Journal:  Semin Fetal Neonatal Med        ISSN: 1744-165X            Impact factor:   3.926


  6 in total

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3.  Development and validation of Auto-Neo-electroencephalography (EEG) to estimate brain age and predict report conclusion for electroencephalography monitoring data in neonatal intensive care units.

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5.  Clinical, biological and electroencephalographic monitoring of newborns with neurological risk in the Neonatal Intensive Care Unit.

Authors:  Florina Marinela Doandes; Aniko-Maria Manea; Nicoleta Lungu; Daniela Cioboata; Timea Brandibur; Oana Costescu; Anca Hudisteanu; Eugen Radu Boia; Marioara Boia
Journal:  Exp Ther Med       Date:  2021-05-13       Impact factor: 2.447

Review 6.  Neurologic infections during pregnancy.

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  6 in total

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