More than 400,000 newborns delivered each year in the U.S. require admission to neonatal intensive care units (NICUs). Many of these infants later develop substantial neurologic morbidity. Our long-term hypothesis is that the NICU sensory environment, which differs dramatically from the in utero milieu, disrupts the stimulus- sensitive plasticity of the immature brain and contributes to abnormal developmental outcome, at least in some vulnerable infants. Healthy newborns generate sleep, a complex and highly regulated neurologic function, for two-thirds of each day. Emerging evidence suggests that disturbed sleep physiology during late infancy contributes to subsequent adverse neurobehavioral outcomes. Sleep is rarely analyzed in sick neonates, in part because of a key unsolved challenge: a practical, validated, and quantitative approach to monitoring neonatal sleep cycling has not been established. Innovative preliminary work by the investigators now suggests that several quantitative sleep measures - sleep/wake bout lengths, sleep fragmentation (entropy), and stage transition probabilities - may predict neurologic status. Yet, the optimal environment to promote ideal neonatal sleep is unknown. Compelling recent data highlight the complexities inherent in efforts to optimize the NICU environment. Preterm infants protected from extrinsic sound, to minimize sleep disruption, showed poor language development. Conversely, increased language exposure in the NICU led to better long-term language development. Therefore, simple provision of a quiet NICU environment may not be an ideal therapeutic approach. In this setting, the research now proposed is guided by the following Global Hypothesis: For neonates, normal quality and quantity of sleep contribute to optimal neurodevelopment, but sleep is disrupted in the NICU by potentially modifiable environmental noise.
Aim 1 : Characterize the above novel quantitative sleep measures as a function of gestational age and postnatal age, adjusted for illness severity, among 50 late-preterm and term NICU patients.
Aim 2 : Determine the sensitivity of these quantitative sleep measures to non-language noise, conversation, and periods of silence, quantified by automated language environment analysis (LENA) testing during polysomnography.
Aim 3 : Assess the effect of enriched exposure to mother's speech, as opposed to non-language noise, on neonatal sleep, as measured by sleep/wake bout lengths, entropy, and stage transition probabilities. Application of formal PSG in the NICU, with innovative analytic techniques to assess sleep stage distribution and sleep fragmentation, will provide novel, objective measures of neonatal brain functional integrity. The proposed study will be the first to assess the influence of the NICU acoustic environment on quantitative PSG data. Results will inform the subsequent design of interventions to optimize the NICU acoustic environment, ameliorate sleep regulation, and improve neurodevelopmental outcomes.

Public Health Relevance

This project is highly relevant for the approximately 400,000 newborns delivered each year in the U.S. who require admission to neonatal intensive care units (NICUs). Many of these infants later develop substantial neurologic morbidity, but optimization of sleep-wake cycling could reduce this risk. This study will take initial, innovative steps toward evaluation of the impact that modifiable acoustic factors in the NICU could have on neonatal sleep. This work will enable studies designed to improve sleep regulation and ultimately reduce the burden of neurodevelopmental disability for these highly vulnerable patients. This goal is directly relevant to the NIH mission, which calls for the development of methods to enhance health and reduce illness and disability, thereby helping all children to achieve their full potential.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HD083409-02
Application #
9025796
Study Section
Pregnancy and Neonatology Study Section (PN)
Program Officer
Raju, Tonse N
Project Start
2015-04-01
Project End
2017-03-31
Budget Start
2016-04-01
Budget End
2017-03-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Pediatrics
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Shellhaas, Renée A; Kenia, Payal V; Hassan, Fauziya et al. (2018) Sleep-Disordered Breathing among Newborns with Myelomeningocele. J Pediatr 194:244-247.e1
Shellhaas, Renée A; Chang, Taeun; Wusthoff, Courtney J et al. (2017) Treatment Duration After Acute Symptomatic Seizures in Neonates: A Multicenter Cohort Study. J Pediatr 181:298-301.e1