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

• 批准号: 10315460
• 负责人: Noboru Hiroi
• 金额: $ 24.03万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-06 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10315460
• 关键词: 16p11.2; Adult; Age-Months; Amygdaloid structure; Anxiety; Attention deficit hyperactivity disorder; Behavior; Behavioral; Brain; Brain region; COVID-19; Caregivers; Cerebrum; Cognitive; Computer Models; 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; Learning; Link; Machine Learning; Magnetic Resonance Imaging; Methods; Motivation; Motor; Mus; Neonatal; Outcome; Pre-Clinical Model; Premature Birth; Premature Infant; Procedures; Publishing; Research; Research Personnel; Risk; SARS-CoV-2 infection; Social Behavior; Stress; Structure; Testing; Therapeutic; 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; mouse model; neonatal period; neuropsychiatric disorder; neuropsychiatry; novel; predictive modeling; premature; prenatal; prospective; relating to nervous system; social; social deficits; tool; vocalization

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 disability10, 11, attention-deficit/hyperactivity disorder (ADHD)2, 12, learning disabilities13, cerebral palsy13, and delays in cognitive, social, and motor development2, 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 interventions17-21. As some forms of early intervention improve the prognoses of infants with (or at high risk of) developmental neuropsychiatric disorders22-28, 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 infants29-32. 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.

概括 在美国，每10个婴儿中有一个是过早出生的，这有助于长期的高率 负面的健康后果。预计在不久的将来会有更高的早产率 由于孕妇冠状病毒疾病2019（Covid-19）感染。虽然早产没有 一定会导致发育性神经精神疾病，它与 自闭症谱系障碍（ASD）1-9，智力障碍10、11，注意力缺陷/多动症障碍 （ADHD）2，12，学习障碍13，脑瘫13，以及认知，社交和运动的延迟 开发2、4、8、10、14-16。与早产相关的发育风险和不确定性 可能会对未来感到困惑，压力和焦虑不堪重负。而且， 早产儿的认知，社会和运动发展轨迹的异质性 混淆了对发展问题的准确，早期发现和早期实施 治疗干预17-21。由于某些形式的早期干预改善了婴儿的预后 患有（或具有高风险）发育性神经精神疾病22-28，一个客观，定量 预测（或改善预测）早产儿的发育轨迹的方法 迫切需要。许多研究小组试图使用计算模型来 区分早产和术语婴儿的哭声29-32。但是，可以预测的计算模型 早产儿的异质认知，社会和运动发展轨迹确实 不存在。此外，早产如何改变认知，社会和运动的神经基础 发展轨迹知之甚少。根据我们的初步数据，这表明 杏仁核的体积受到与社会缺陷有关的基因变体的选择性影响 老鼠，我们假设早产也改变了认知，社交和运动的发展 从新生儿到成年初期的轨迹，通过大脑结构的变化相关的变化 具有认知，社会和运动能力。为了检验这一假设，我们将利用我们的专业知识 计算特征选择，使用新生儿发声和各种体积的变量 小鼠大脑区域最能说明认知，社会和运动能力方面的差异。一个 积极结果将提供急需的预测模型，以进一步探索机械基础 鼠标模型中的认知，社会和运动发展。这应该使调查人员能够 进一步评估异构认知，社会和运动的机械性，结构基础 环境和遗传危险因素的临床前模型中的轨迹。