Autoregressive Spectral Estimates of Newborn Brain Maturational Level: Classification and Validation

In order to examine the reliability and validity of classification of EEG maturational levels, brain activity before and after peripheral sensory stimulation was measured in two groups of full‐term newborn infants (N=50 and 48). Autoregressive coefficients from two derivations (C‐A, O‐A) were classified by means of logistic discrimination relative to three age groups: a low birthweight group of less than 35 weeks gestational age, a comparable two‐day‐old group, and a group 6 weeks to 3 months of age. Results demonstrated that EEG maturational level of two‐day‐old full‐term neonates can be reliably and validly classified. Autoregressive spectral analysis may function as a major technique for the hypothesis testing and classification of infant EEG.