@article{b44cdac7bec346ffb0541d03e8768657,
title = "Development of the EEG from 5 months to 4 years of age",
abstract = "Objectives: This report provides a systematic longitudinal analysis of the EEG from infancy into early childhood. Particular emphasis is placed on the empirical confirmation of a 6-9Hz alpha-range frequency band that has previously been used in the infant EEG literature. Methods: EEG data in 1-Hz bins from 3 to 12Hz were analyzed from a longitudinal sample of 29 participants at 5, 10, 14, 24, and 51 months of age. Results: Inspection of power spectra averaged across the whole sample indicated the emergence of a peak in the 6-9Hz range across multiple scalp regions. Coding of peaks in the power spectra of individual infants showed a clear developmental increase in the frequency of this peak. A rhythm in the 6-9Hz emerged at central sites that was independent of the classical alpha rhythm at posterior sites. The relative amplitude of this central rhythm peaked in the second year of life, when major changes are occurring in locomotor behavior. Conclusions: The 6-9 Hz band is a useful alpha-range band from the end of the first year of life into early childhood. The findings also complement other research relating the infant central rhythm with the adult sensorimotor mu rhythm.",
keywords = "Alpha rhythm, Development, Electroencephalogram, Infant, Mu rhythm",
author = "Marshall, {Peter J.} and Yair Bar-Haim and Fox, {Nathan A.}",
note = "Funding Information: We wish to thank all those people who helped with recruitment of the families and collection of the data, and we would especially like to thank the parents of the children who participated in the study. Many thanks to Sean Flanagan for assistance with peak coding and figures. This research was partially supported by a grant from the John D. and Catherine T. MacArthur Foundation and by grants from the National Institute of Health (HD# 32666 and HD# 17899) to N.A.F.",
year = "2002",
doi = "10.1016/S1388-2457(02)00163-3",
language = "אנגלית",
volume = "113",
pages = "1199--1208",
journal = "Clinical Neurophysiology",
issn = "1388-2457",
publisher = "Elsevier Ireland Ltd",
number = "8",
}