Background: Early identification of cerebral palsy (CP) during infancy will provide opportunities for early therapies and treatments. The aim of the present study was to present a novel machine-learning model, the Computer-based Infant Movement Assessment (CIMA) model, for clinically feasible early CP prediction based on infant video recordings. Methods: The CIMA model was designed to assess the proportion (%) of CP risk-related movements using a time–frequency decomposition of the movement trajectories of the infant’s body parts. The CIMA model was developed and tested on video recordings from a cohort of 377 high-risk infants at 9–15 weeks corrected age to predict CP status and motor function (ambulatory vs. non-ambulatory) at mean 3.7 years age. The performance of the model was compared with results of the general movement assessment (GMA) and neonatal imaging. Results: The CIMA model had sensitivity (92.7%) and specificity (81.6%), which was comparable to observational GMA or neonatal cerebral imaging for the prediction of CP. Infants later found to have non-ambulatory CP had significantly more CP risk-related movements (median: 92.8%, p = 0.02) compared with those with ambulatory CP (median: 72.7%). Conclusion: The CIMA model may be a clinically feasible alternative to observational GMA.

BACKGROUND AND PURPOSE: Very preterm infants (birth weight, <1500 g) are at increased risk of cognitive and motor impairment, including cerebral palsy. These adverse neurodevelopmental outcomes are associated with white matter abnormalities on MR imaging at term-equivalent age. Cerebral palsy has been predicted by analysis of spontaneous movements in the infant termed “General Movement Assessment.” The goal of this study was to determine the utility of General Movement Assessment in predicting adverse cognitive, language, and motor outcomes in very preterm infants and to identify brain imaging markers associated with both adverse outcomes and aberrant general movements. MATERIALS AND METHODS: In this prospective study of 47 preterm infants of 24–30 weeks9 gestation, brain MR imaging was performed at term-equivalent age. Infants underwent T1- and T2-weighted imaging for volumetric analysis and DTI. General movements were assessed at 10–15 weeks9 postterm age, and neurodevelopmental outcomes were evaluated at 2 years by using the Bayley Scales of Infant and Toddler Development III. RESULTS: Nine infants had aberrant general movements and were more likely to have adverse neurodevelopmental outcomes, compared with infants with normal movements. In infants with aberrant movements, Tract-Based Spatial Statistics analysis identified significantly lower fractional anisotropy in widespread white matter tracts, including the corpus callosum, inferior longitudinal and fronto-occipital fasciculi, internal capsule, and optic radiation. The subset of infants having both aberrant movements and abnormal neurodevelopmental outcomes in cognitive, language, and motor skills had significantly lower fractional anisotropy in specific brain regions. CONCLUSIONS: Aberrant general movements at 10–15 weeks9 postterm are associated with adverse neurodevelopmental outcomes and specific white matter microstructure abnormalities for cognitive, language, and motor delays.

Children born prematurely (<37 weeks’ gestation) have an increased risk for chronic health problems and developmental challenges compared to their term-born peers. The threats to health and development posed by prematurity, the unintended effects of life-sustaining neonatal intensive care, the associated neonatal morbidities, and the profound stressors to families affect well-being during infancy, childhood, adolescence, and beyond. Specialized clinical programs provide medical and developmental follow-up care for preterm infants after hospital discharge. High-risk infant follow-up, like most post-discharge health services, has many shortcomings, including unclear goals, inadequate support for infants, parents, and families, fragmented service provisions, poor coordination among providers, and an artificially foreshortened time horizon. There are well-documented inequities in care access and delivery. We propose applying a life course health development framework to clinical follow-up for children born prematurely that is contextually appropriate, developmentally responsive, and equitably deployed. The concepts of health development, unfolding, complexity, timing, plasticity, thriving, and harmony can be mapped to key components of follow-up care delivery to address pressing health challenges. This new approach envisions a more effective version of clinical follow-up to support the best possible functional outcomes and the opportunity for every premature infant to thrive within their family and community environments over their life course.