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Children
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Application of Electroencephalogram (EEG) in Pediatrics
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Application of Electroencephalogram (EEG) in Pediatrics

A special issue of Children (ISSN 2227-9067). This special issue belongs to the section "Pediatric Neurology & Neurodevelopmental Disorders".

Deadline for manuscript submissions: closed (20 February 2025) | Viewed by 1533

Special Issue Editor

Dr. Duyu Nie

E-Mail Website
Guest Editor
Hasbro Children’s Hospital and the Warren Alpert Medical School of Brown University, Providence, Rhode Island, RI 02903, USA
Interests: electrophysiological and molecular biomarkers in early-life epilepsy and neurodevelopmental disorders

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute your work to the Special Issue 'Application of Electroencephalogram (EEG) in Pediatrics'. The utility of EEGs in the pediatric population has been rapidly expanding in recent years, encompassing the diagnostic evaluation of paroxysmal events and epilepsy, as well as the assessment of neurophysiological biomarkers in neurodevelopmental disorders. While new opportunities arise from the development of quantitative EEGs (qEEGs) and machine learning, the field faces challenges associated with diagnostic heterogeneity and the translation of research tools into clinical use.

This Special Issue aims to update clinicians and researchers on the technical progress in conventional and invasive EEGs and their expanding indications in the pediatric population. These indications range from diagnostic evaluations for paroxysmal events, seizures, and epilepsy surgery to neuroprognostication for critically ill patients and neurocognitive assessments in chronic conditions.

In this Special Issue, original research articles and reviews are welcome. The research areas may include (but are not limited to) the following:

  • The diagnostic yield and special considerations of routine EEGs, ambulatory EEGs, and LTM video EEGs in the clinical assessment of epileptic seizures, electroclinical syndromes, and paroxysmal non-epileptic spells.
  • The application of updated ACNS critical care EEG terminology in neonatal and pediatric intensive care units (ICUs), along with emerging diagnostic and neuroprognostic biomarkers.
  • The challenges and unique opportunities that arise alongside the utilization of intracranial EEGs in assessing the epileptic network and treatment modalities (e.g., resective surgery versus neuromodulation) in a young brain.
  • The exciting progress in the practice of qEEG and emerging electrophysiological biomarkers (e.g., HFO, cross-frequency coupling, theta–beta ratio, etc.) for neurocognitive assessments in children with chronic epilepsy and/or neurodevelopmental disorders.

We look forward to receiving your contributions.

Dr. Duyu Nie
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Children is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • epilepsy syndrome
  • conventional EEG
  • stereoelectroencephalography (sEEG)
  • quantitative EEG (qEEG)
  • developmental and epileptic encephalopathies (DEEs)
  • electrophysiological biomarkers
  • epilepsy surgery
  • critical care eeg terminology
  • non-epileptic paroxysmal spells
  • neuroprognostication

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Published Papers (1 paper)

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Research

13 pages, 1605 KiB  
Article
The Predictive Value of Amplitude-Integrated Electroencephalography for the Neurodevelopmental Outcomes of Preterm Newborns at 12 Months Corrected Age
by Kristina Štuikienė, Elke Griesmaier, Ilona Aldakauskienė, Jurgita Garčinskienė, Marija Paškauskė, Kastytis Šmigelskas, Inesa Rimdeikienė, Vitalija Marmienė and Rasa Tamelienė
Children 2024, 11(8), 979; https://doi.org/10.3390/children11080979 - 13 Aug 2024
Viewed by 977
Abstract
Background. In clinical practice, it is crucial to identify diagnostic methods that can forecast the neurodevelopmental outcomes of very preterm neonates. Our study aimed to assess the predictive significance of amplitude-integrated electroencephalography (aEEG) for the neurodevelopmental outcomes of preterm infants at 12 months [...] Read more.
Background. In clinical practice, it is crucial to identify diagnostic methods that can forecast the neurodevelopmental outcomes of very preterm neonates. Our study aimed to assess the predictive significance of amplitude-integrated electroencephalography (aEEG) for the neurodevelopmental outcomes of preterm infants at 12 months corrected age and to establish the cut-off score that could indicate potential neurodevelopmental impairments. Methods. Preterm neonates born before 32 weeks of gestational age between June 2020 and July 2022 were included in a prospective manner. Amplitude-integrated electroencephalography recordings were conducted at five age intervals (days 1–3; first, second, third and fourth weeks). Recordings were analyzed using the Burdjalov scoring system. The neurodevelopment assessment with Bayley Scales of Infant Development—Second Edition was carried out at 12 months corrected age. Results. A total of 140 newborns were included in the study. Neurodevelopment was assessed in 108 infants at 12 months corrected age. Higher total aEEG Burdjalov scores were observed in groups with normal cognitive and motor development. The most sensitive and specific score for prediction of cognitive impairment in 12 months corrected age was an aEEG evaluation of 5.5 according to Burdjalov score within the first three days. The most sensitive and specific score for prediction of motor impairment was 8.5 within the first week. Conclusions. According to our research there is currently not enough data to accurately foresee the development of newborns at 12 months corrected age according to early aEEG test results. However, conducting a research with bigger sample size and repeated evaluations at a later age might increase the prognostic value of aEEG. In this study cut-off scores of aEEG performed early in life to predict later neurodevelopment outcomes were determined. Full article
(This article belongs to the Special Issue Application of Electroencephalogram (EEG) in Pediatrics)
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