Peer-reviewed article
P157 Modelling the developmental trajectory of infant and child sleep
Webb L, Phillips A, Roberts J ·
Summary
Written by AI, not yet AICS's view · claude-haiku-4-5-20251001This study uses mathematical modelling to understand how infant and child sleep changes from birth to age five years. Researchers adapted an adult sleep model to explain why young children sleep more total hours and have fragmented sleep patterns that gradually consolidate as they grow. The model suggests these changes are driven by maturation of specific brain regions involved in sleep regulation. The findings demonstrate that physiological models can help explain the neurodevelopmental basis of sleep changes in early childhood.
Key points
- Total sleep duration decreases and sleep consolidates into fewer, longer bouts with increasing age from 0 to 5 years
- Changes in sleep patterns are explained by decreases in inhibitory input to the ventrolateral preoptic nucleus and increases in somnogen clearance time
- The physiologically based model produced realistic sleep-wake dynamics consistent with individual infant data
- The model successfully explained both population-level diversity in sleep characteristics and individual variation in sleep architecture during the first year of life
Limitations
The study is based on modelling of published data and a single densely-sampled infant, so it does not directly measure physiological parameters in living children or provide intervention evidence. The findings are theoretical and would require direct neurophysiological measurement to validate the proposed brain mechanisms.
Abstract
Abstract Introduction Sleep is important for infant and child neurodevelopment, yet there is a lack of mechanistic understanding of what drives the changes in sleep over the early years of life. While sleep in the adult brain has been studied and modelled extensively, very little has been done in infants and children, mainly limited to descriptive studies of sleep behaviour. Methods We adapted an existing, physiologically based model of adult sleep to study infant and child sleep behaviour. We compared modelled sleep behaviour to published data on sleep characteristics over a range of ages, both cross sectional from 0 to 5 years and densely-sampled individual data in the first year of life. We performed Bayesian inference to estimate the likely physiological parameters underpinning population-level diversity in sleep characteristics as a function of age from 0 to 5 years. We also fitted the model to individual sleep architecture in the first year of life. Results The empirically observed decrease in total sleep duration and consolidation of sleep bouts with increasing age are well explained by decreases in the constant inhibitory input to the ventrolateral preoptic nucleus and increases in the characteristic somnogen clearance time during sleep. Further, our model produced realistic sleep-wake dynamics consistent with early maturation of sleep in the heavily sampled, single infant data. Discussion Our results show that a greater understanding of the neurophysiology of sleep in infants and children can be achieved through the use of physiologically based models.