ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2022
Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years.
Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- EEG signatures of motor development in early childhood: a systematic review.Pediatric research · 2026Pooled it
- Identifying heart rate characteristics of sleep states of preterm infants using video analysis.Scientific reports · 2026Article
- Directional flow of brain connections and neurodevelopmental outcomes in healthy full-term newborns.Neuroscience letters · 2025Article
- Identifying Heart Rate Characteristics of Sleep States of Preterm Infants Using Video Analysis.Research square · 2025Article
- Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.Scientific reports · 2025Article
- Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024Article
- Brainstem and Deep Gray Nuclei Modulate Brain Network Efficiency in Low-risk Term Newborns.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
- Association of brain functional connectivity with neurodevelopmental outcomes in healthy full-term newborns.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo determine whether neurodevelopmental biomarkers at 2 years of age are already present in the newborns' EEG at birth.
methodsLow-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.
resultsWe 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.
conclusionsElectrophysiological 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.
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