Poster F65, Tuesday, March 28, 8:00 – 10:00 am, Pacific Concourse
Frontal and Central Sleep Spindles are Correlated with Cognition and Language in Napping Infants
Sue E. Peters1, April A. Benasich2; 1Behavioral and Neural Science Graduate Program, Rutgers University - Newark, NJ, 2Center for Molecular and Behavioral Neuroscience, Rutgers University - Newark, NJ
Sleep spindles, as neurophysiologic components of brain maturation, may serve as early biomarkers for neurodevelopmental disorders. They have been linked to cognitive measures across the lifespan, but few infant studies have considered behavioral correlates, and none have combined concurrent behavioral measures with dense-array EEG (dEEG) during the first year of life. The present study aims to characterize sleep spindle neurophysiology and topography of typically developing infants at 3.5 and 6.5 months, using dEEG. Standardized tests designed to measure infant cognitive and language development were administered, prior to a daytime nap. Infant sleep dEEG data (124 channels) were collected and analyzed using Matlab toolboxes. Spectral analysis of NREM 2/3 sleep stages was completed on all channels. Topographical plots of both absolute and relative power were generated for individuals and averaged for 3.5 (N=20), and 6.5 (N=19) month cross-sectional age groups. Within the spindle frequency range (10-16Hz), three clusters of high power activity are visible within both age groups: frontal, left and right central. In the frontal cluster, both relative power and peak frequency increases between the two age groups (3-months: 12.8Hz and 6-months: 13.2Hz), with a positive correlation between cluster power at individual peak frequencies and the cognitive score. Within the right and left central clusters, peak power decreases between groups, with no change in peak frequency (left: 13.1Hz, right: 13.4Hz). The left central spindle cluster power is negatively correlated with the receptive language score. Spindle characteristics and topography follow a developmental trajectory, which appears to align with cognitive behavioral changes.
Topic Area: LANGUAGE: Development & aging