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Predicting the developmental trajectories of cognitive and motor dimensions from preterm neonatal vocalizations

从早产儿发声预测认知和运动维度的发育轨迹

基本信息

批准号：
10463851
负责人：
Noboru Hiroi
金额：
$ 20.12万
依托单位：
UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-08-06 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10463851
关键词：
16p11.2 Adult Age-Months Amygdaloid structure Anxiety Attention deficit hyperactivity disorder Behavior Behavioral Assay Brain Brain region COVID-19 Caregivers Cerebral Palsy Cognitive Computer Models Computing Methodologies Confusion Data Development Developmental Delay Disorders Dimensions Early Diagnosis Early Intervention Environmental Risk Factor Evaluation Exhibits Experimental Designs Exposure to Future Genes Health Heterogeneity Heterozygote Incentives Infant Inflammation Inflammatory Intellectual functioning disability Learning Disabilities Link Machine Learning Magnetic Resonance Imaging Methods Motivation Motor Mus Neonatal Outcome Pre-Clinical Model Premature Birth Premature Infant Procedures Prognosis Publishing Research Research Personnel Risk SARS-CoV-2 infection Social Behavior Stress Structure Testing Therapeutic Intervention Trauma Uncertainty autism spectrum disorder base brain volume coisogenic effectiveness testing feature extraction feature selection genetic risk factor genetic variant high risk improved individual variation machine learning method mouse model neonatal period neuropsychiatric disorder novel predictive modeling premature prenatal prospective relating to nervous system social social deficits tool vocalization

项目摘要

Summary One in every 10 babies is born prematurely in the US, and this contributes to high rates of long-term negative health consequences. An even higher rate of preterm births is expected in the near future due to maternal coronavirus disease 2019 (COVID-19) infection. While premature birth does not necessarily result in developmental neuropsychiatric disorders, it is associated with elevated rates of autism spectrum disorder (ASD) 1-9, intellectual disability 10, 11, attention-deficit/hyperactivity disorder (ADHD) 2, 12, learning disabilities 13, cerebral palsy 13, and delays in cognitive, social, and motor development 2, 4, 8, 10, 14-16. The developmental risks and uncertainty associated with premature birth may overwhelm caregivers with confusion, stress, and anxiety about the future. Moreover, the heterogeneity of cognitive, social, and motor developmental trajectories among preterm infants confounds the accurate, early detection of developmental issues and the early implementation of therapeutic interventions 17-21. As some forms of early intervention improve the prognoses of infants with (or at high risk of) developmental neuropsychiatric disorders 22-28, an objective, quantitative method of predicting (or improving the prediction of) the developmental trajectories of preterm infants is urgently needed. A number of research groups have attempted to use computational models to differentiate the cries of preterm and term infants 29-32. However, computational models that can predict the heterogeneous cognitive, social, and motor developmental trajectories among preterm infants do not exist. Moreover, the neural basis of how preterm birth alters the cognitive, social, and motor developmental trajectories is poorly understood. Based on our preliminary data, which showed that the volume of the amygdala is selectively impacted by a gene variant that is linked to social deficits in mice, we hypothesize that preterm birth also alters the cognitive, social, and motor developmental trajectories from the neonatal to early adult periods via variable alterations of brain structures relevant to cognitive, social, and motor capacities. To test this hypothesis, we will leverage our expertise in computational feature selection, using variables of neonatal vocalization and volumes of various mouse brain regions that best account for variances in cognitive, social, and motor capacities. A positive outcome will provide much-needed predictive models to further explore the mechanistic bases of cognitive, social, and motor development in mouse models. This should enable investigators to further evaluate the mechanistic, structural bases for heterogeneous cognitive, social, and motor trajectories in preclinical models of environmental and genetic risk factors.

总结