Literature DB >> 24418219

The maturation of cortical sleep rhythms and networks over early development.

C J Chu1, J Leahy2, J Pathmanathan3, M A Kramer4, S S Cash3.   

Abstract

OBJECTIVE: Although neuronal activity drives all aspects of cortical development, how human brain rhythms spontaneously mature remains an active area of research. We sought to systematically evaluate the emergence of human brain rhythms and functional cortical networks over early development.
METHODS: We examined cortical rhythms and coupling patterns from birth through adolescence in a large cohort of healthy children (n=384) using scalp electroencephalogram (EEG) in the sleep state.
RESULTS: We found that the emergence of brain rhythms follows a stereotyped sequence over early development. In general, higher frequencies increase in prominence with striking regional specificity throughout development. The coordination of these rhythmic activities across brain regions follows a general pattern of maturation in which broadly distributed networks of low-frequency oscillations increase in density while networks of high frequency oscillations become sparser and more highly clustered.
CONCLUSION: Our results indicate that a predictable program directs the development of key rhythmic components and physiological brain networks over early development. SIGNIFICANCE: This work expands our knowledge of normal cortical development. The stereotyped neurophysiological processes observed at the level of rhythms and networks may provide a scaffolding to support critical periods of cognitive growth. Furthermore, these conserved patterns could provide a sensitive biomarker for cortical health across development.
Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Brain networks; Brain rhythms; Development; EEG; Functional connectivity; Sleep

Mesh:

Year:  2013        PMID: 24418219      PMCID: PMC4035415          DOI: 10.1016/j.clinph.2013.11.028

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


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