SRCLD Presentation Details
  Title  
       
    Associations between baseline frontal EEG power with toddlers’ late talking status and with continuous standardized and naturalistic language measures  
Author(s)
Elaine Kwok - Northwestern University
Julia Nikolaeva - Northwestern University
Soujin Jinnie Choi - Northwestern University
Lauren Wakschlag - Northwestern University
Elizabeth Norton - Northwestern University

SRCLD Info
SRCLD Year: 2022
Presentation Type: Special Session
Presentation Time: (na)
Abstract
Electroencephalogram (EEG) collected in a baseline (resting) state can reveal intrinsic properties of brain activity. Frontal EEG power, a measure of the strength in the EEG signal in frontal regions of the scalp, is thought to broadly represent the neural activity in the frontal cortex and relate to various cognitive processes. This study involved 59 late-taking and 51 typically developing toddlers (21-29m) who participated in a ~5-minute EEG recording while watching a short video. Frontal EEG power was calculated across six frequency ranges (delta, theta, low-alpha, high-alpha, beta, gamma) that previous studies have found to associate with language development. Results showed that EEG power did not differ between the two groups in any frequency bands. Furthermore, EEG power did not significantly correlate with standardized expressive/ receptive language measure (i.e., Mullen Scales of Early Learning), parent-reported expressive lexicon (MCDI), or data from a 20-minute naturalistic language sample (i.e., MLUm, number of different words, total number of words). Bayesian analyses indicate moderate support for the null over alternate hypothesis in all analyses. This study was funded by National Institute on Deafness and Other Communication Disorders grant R01DC016273 (PIs: Wakschlag, Norton).
Author Biosketch(es)