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Infant sleep EEG features at 4 months as biomarkers of neurodevelopment at 18 months
Soraia Ventura1,2, Sean R Mathieson1,2, John M O'Toole1
1INFANT Research Centre, University College Cork, Cork, Ireland.
Insights
Infant sleep EEG patterns at 4 months can predict neurodevelopmental outcomes at 18 months. Specific sleep features, like spindle synchrony and latency, may serve as early biomarkers for cognitive development.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Sleep Medicine
Background:
- Sleep parameters are intrinsically linked to neurodevelopment.
- Infant sleep plays a crucial role in synaptic homeostasis and memory consolidation.
- Early sleep characteristics correlate with later cognitive abilities in childhood.
Purpose of the Study:
- To investigate the association between infant sleep electroencephalogram (EEG) features at 4 months and neurodevelopmental outcomes at 18 months.
- To identify potential early EEG biomarkers for neurodevelopmental assessment in infants.
Main Methods:
- Collected sleep-EEG data from typically developing, term-born infants at 4 months of age.
- Administered the Griffiths III developmental assessment at 18 months.
- Analyzed sleep macrostructure, sleep spindle features, and quantitative EEG (qEEG) measures, correlating them with developmental quotients.
Main Results:
- Sleep latency and N3 sleep duration showed positive associations with specific Griffiths III subscales (Foundations of Learning, Personal-Social-Emotional).
- Sleep spindle synchrony and duration were negatively correlated with several developmental quotients, including Eye and Hand Coordination and Gross Motor.
- Quantitative EEG features, such as spectral power and interhemispheric coherence, also demonstrated correlations with developmental quotients.
Conclusions:
- Specific EEG sleep features in 4-month-old infants are associated with neurodevelopmental outcomes at 18 months.
- Sleep spindle characteristics and macrostructure elements may serve as valuable early biomarkers for neurodevelopment.
- EEG-based biomarkers during infancy could facilitate early, targeted interventions to optimize neurodevelopmental trajectories.
Background:
Sleep parameters evolve in parallel with neurodevelopment. Sleep participates in synaptic homeostasis and memory consolidation and infant sleep parameters correlate with later aspects of early childhood cognition.
Methods:
Typically developing, term-born infants had a diurnal sleep-EEG at 4 months and Griffiths III developmental assessment at 18 months. EEG analysis included sleep macrostructure (i.e. durations of total sleep and sleep stages, and latencies to sleep and REM), sleep spindle features, and quantitative EEG features (qEEG): interhemispheric connectivity and spectral power. We assessed the correlations between these EEG features and Griffiths III quotients.
Results:
Sleep recordings from 92 infants were analyzed. Sleep latency was positively associated with the Griffiths III Foundations of Learning subscale and N3 sleep duration was positively correlated with the Personal-Social-Emotional subscale. Sleep spindle synchrony was negatively associated with Eye and Hand Coordination, Personal-Social-Emotional, Gross Motor, and General Development quotients. Sleep spindle duration was negatively associated with the Personal-Social-Emotional and Gross Motor subscales. In some sleep states, delta 1 and 2 EEG spectral power and interhemispheric coherence measures were correlated with subscale quotients.
Conclusion:
Certain sleep features in the EEG of 4-month-old infants are associated with neurodevelopment at 18 months and may be useful early biomarkers of neurodevelopment.
Impact:
This study shows that the EEG during infant sleep may provide insights into later neurodevelopmental outcomes. We have examined novel EEG sleep spindle features and shown that spindle duration and synchrony may help predict neurodevelopmental outcomes. Sleep macrostructure elements such as latency to sleep, N3 duration, and qEEG features such as interhemispheric coherence and spectral power measures at 4 months may be useful for the assessment of future neurodevelopmental outcomes. Due to exceptional neuroplasticity in infancy, EEG biomarkers of neurodevelopment may support early and targeted intervention to optimize outcomes.
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