Evaluating Injury Severity in Neonatal Encephalopathy Using Automated Quantitative Electroencephalography Analysis: A Pilot Study.

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Title: Evaluating Injury Severity in Neonatal Encephalopathy Using Automated Quantitative Electroencephalography Analysis: A Pilot Study.
Authors: Catenaccio E; Division of Pediatric Neurology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Smith RJ; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA., Chavez-Valdez R; Division of Neonatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Burton VJ; Division of Pediatric Neurology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.; Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, Maryland, USA., Graham E; Department of Obstetrics and Gynecology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Parkinson C; Division of Neonatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Vaidya D; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Tekes A; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Northington FJ; Division of Neonatology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Everett AD; Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Stafstrom CE; Division of Pediatric Neurology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Ritzl EK; Departments of Neurology and Anesthesia and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Source: Developmental neuroscience [Dev Neurosci] 2024; Vol. 46 (2), pp. 136-144. Date of Electronic Publication: 2023 Jul 19.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Karger Country of Publication: Switzerland NLM ID: 7809375 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1421-9859 (Electronic) Linking ISSN: 03785866 NLM ISO Abbreviation: Dev Neurosci Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1421-9859
DOI:10.1159/000530299