Normative longitudinal EEG recordings during sleep stage II in the first year of age

Thalía Harmony1, Gloria Otero-Ojeda2, Eduardo Aubert-Vázquez3

  • 1Neurodevelopment Research Unit at the Instituto de Neurobiología, Universidad Nacional Autónoma de México; Juriquilla, Querétaro, CP.76230, México. thaliaharmony79@gmail.com.

Scientific Data
|July 17, 2024
PubMed

Insights

This study presents the first dataset of normal infant electroencephalogram (EEG) recordings during the first year of life. These findings provide a baseline for understanding typical brain function in developing infants.

Area of Science:

  • Neuroscience
  • Pediatric Neurology
  • Clinical Electrophysiology

Background:

  • The electroencephalogram (EEG) is crucial for assessing brain function.
  • Establishing normative EEG data in infants is essential for diagnosing neurological disorders.
  • A gap exists in readily available, comprehensive EEG datasets for healthy infants in their first year.

Purpose of the Study:

  • To characterize the electroencephalogram (EEG) of healthy, full-term infants.
  • To create a foundational dataset of infant EEG for quantitative analysis.
  • To provide a reference for future research on infant neurodevelopment and disorders.

Main Methods:

  • Collected referential EEG data from 103 healthy infants (15 days to 12.5 months) in Mexico during physiological sleep.
  • Utilized linked earlobes as reference, with amplifier gain at 10,000, bandwidth 0.3-30 Hz, and sample rate of 200 Hz.
  • Segmented EEG recordings into 2.56-second windows for quantitative analysis.

Main Results:

  • Successfully acquired EEG data from a cohort of healthy infants within the first year of life.
  • Detailed the technical parameters used for recording and processing the EEG data.
  • Established a novel dataset representing normal infant brain activity during early development.

Conclusions:

  • This work provides the first known dataset of normal infant EEG recordings for the first year of age.
  • The characterized EEG data serves as a valuable normative reference.
  • This dataset will aid in the identification of neurodevelopmental abnormalities in infants.