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Cortical Source Analysis of High-Density EEG Recordings in Children
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Child EEG (and maturation).

A Kaminska1, M Eisermann1, P Plouin1

  • 1Department of Clinical Neurophysiology, Necker-Enfants Malades Hospital, APHP, Paris, France.

Handbook of Clinical Neurology
|July 7, 2019
PubMed
Summary
This summary is machine-generated.

Electroencephalogram (EEG) patterns change with brain development from the perinatal period through adolescence. Understanding these age-specific EEG features is crucial for accurate interpretation and diagnosis in children.

Keywords:
EEGEEG patternElectroencephalogramMaturationNeonatologyNormal variants

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Area of Science:

  • Neuroscience
  • Developmental Pediatrics
  • Clinical Neurophysiology

Background:

  • Brain development, including myelination and connectivity, significantly impacts electroencephalogram (EEG) patterns.
  • Rapid brain maturation occurs during the first year of life, influencing EEG characteristics.
  • EEG can be observed in preterm infants as early as the third trimester of gestation.

Purpose of the Study:

  • To describe normal EEG features and developmental patterns from the neonatal period to adolescence.
  • To highlight age-specific EEG variants and unusual patterns.
  • To emphasize the importance of age-appropriate interpretation of EEG recordings.

Main Methods:

  • Review of normal EEG features and variants across different developmental stages.
  • Description of characteristic developmental EEG patterns.
  • Identification of age-inappropriate EEG findings.

Main Results:

  • EEG patterns evolve significantly from the perinatal period through infancy, childhood, and adolescence.
  • Specific EEG features emerge and mature, approaching adult patterns within the first year.
  • Knowledge of normal variants and age-specific patterns is essential for accurate EEG interpretation.

Conclusions:

  • Interpreting pediatric EEG requires a comprehensive understanding of normal developmental changes.
  • Recording techniques must be adapted to the specific age group for optimal results.
  • This chapter provides a guide to normal and abnormal EEG findings in pediatric populations.