Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years. (August 2022)

• Record Type: Journal Article
• Authors: Chirumamilla, Venkata C.; Hitchings, Laura; Mulkey, Sarah B.; Anwar, Tayyba; Baker, Robin; Larry Maxwell, G.; De Asis-Cruz, Josepheen; Kapse, Kushal; Limperopoulos, Catherine; du Plessis, Adre; Govindan, R.B.
• Is Part Of: Clinical neurophysiology. Volume 140(2022)
• Page Start: 21
• Page End: 28
• Publication Date: 2022-08
• Subjects: Spectral analysis -- Source reconstruction -- Developmental assessment -- Low-risk term newborns -- Linearly constrained minimum variance beamformer -- Automated anatomical labeling atlas; EEG Electroencephalography -- BSID-III Bayley Scales of Infants Development-III -- LCMV Linearly Constrained Minimum Variance -- GA Gestational Age -- AAL Automated Anatomical Labeling -- BOLD Blood Oxygenation Level Dependent -- fMRI Functional Magnetic Resonance Imaging -- HD-EEG High-Density EEG -- EKG Electrocardiogram -- MRI Magnetic Resonance Imaging -- BEM Boundary Element Method -- ROI Region of Interest -- BET Brain Extraction Tool -- FSL FMRIB Software Library -- ROC Receiver Operating Characteristic Curve -- AUC Area Under Curve; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2022.05.010
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Spectral metric of scalp and source EEG of term low-risk newborns was associated with neurodevelopmental scores at 2 years of age. Source-level analysis identified the brain regions associated with the developmental metrics. Newborn EEG may identify even low-risk infants who will deviate from the typical developmental trajectory in future. Abstract: Objective: To determine whether neurodevelopmental biomarkers at 2 years of age are already present in the newborns' EEG at birth. Methods: Low-risk term newborns were enrolled and studied utilizing EEG prior to discharge from the birth hospital. A 14-channel EEG montage (scalp-level) and source signals were calculated using the EEG. Their spectral power was calculated for each of the five frequency bands. Cognitive, language and motor skills were assessed using the Bayley Scales of Infant Development-III at age 2 years. The relationship between the spectral power in each frequency band and neurodevelopmental scores were quantified using the Spearman's r . The role of gender, gestational age (GA) and delivery mode, if found significant ( P < 0.05), were controlled by analyzing partial correlation. Results: We studied 47 newborns and found a significant association between gender, and delivery mode with EEG power. Scalp- and source-level spectral powers were positively associated with cognitive and language scores. At the source level, significant associations were identified in the parietal and occipital regions. Conclusions: Electrophysiological biomarkers of neurodevelopment at age 2 years are already present at birth in low-risk term infants. Significance: Low-risk newborns' EEG utility as a screening tool to optimize neurodevelopmental outcome warrants further evaluation.