Functional brain maturation in neonates as measured by EEG-sleep analyses.

Published

Journal Article

OBJECTIVE: Seven measures of neonatal EEG-sleep behavior were evaluated using multivariate analyses to ascertain if physiologic differences exist between healthy full- and preterm cohorts. METHODS: A total of 381 24-channel EEG-sleep studies were analyzed, including 125 recordings on 50 healthy fullterm and 256 recordings on 59 asymptomatic preterm infants between 28 and 70.6 weeks post-conceptional age. One EEG study for each subject was randomly assigned (109 studies) within the time window of 38-44 weeks post-conceptional age. A multivariate analytic procedure was applied to the data sets, by which a 'dysmaturity index' was assigned for each infant, based on 7 EEG-sleep measures. This index was defined in terms of the distance from the fullterm group's centroid (i.e. Mahalanobis distance). Receiver-operating characteristic curves (ROCs) were calculated for several different combinations of 7 EEG-sleep measures to describe differences between neonatal cohorts. RESULTS: The ROC curve corresponding to all 7 EEG-sleep measures covered the substantially largest area among the curves for the sets of variables considered, suggesting that all 7 measures of sleep behavior were required to best discriminate between cohorts. CONCLUSIONS: This methodology exemplifies how EEG-sleep analyses can be applied to the study of functional brain maturation of infants at risk for neurodevelopment problems. SIGNIFICANCE: Changes in EEG-sleep behavior in the preterm infant may represent altered activity-dependent development of neural circuitry, resulting in remodeling of the immature brain as a reflection of adaptation to conditions of prematurity.

Full Text

Duke Authors

Cited Authors

  • Scher, MS; Jones, BL; Steppe, DA; Cork, DL; Seltman, HJ; Banks, DL

Published Date

  • May 2003

Published In

Volume / Issue

  • 114 / 5

Start / End Page

  • 875 - 882

PubMed ID

  • 12738433

Pubmed Central ID

  • 12738433

Electronic International Standard Serial Number (EISSN)

  • 1872-8952

International Standard Serial Number (ISSN)

  • 1388-2457

Digital Object Identifier (DOI)

  • 10.1016/s1388-2457(03)00026-9

Language

  • eng