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Neonatal Cry Acoustics and Neurobehavioral Characteristics as Early Markers of Risk for Autism Spectrum Disorder

新生儿哭声和神经行为特征作为自闭症谱系障碍风险的早期标志

基本信息

批准号：
10449324
负责人：
STEPHEN J SHEINKOPF
金额：
$ 35.63万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-03-26 至 2025-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10449324
关键词：
2 year old 3 year old Acoustics Address Affect Age-Months Arousal Autism Diagnosis Birth Characteristics Child Child Development Childhood Classification Complex Data Development Developmental Course Diagnosis Diagnostic Disease Progression Early Intervention Early identification Enrollment Evaluation Family Family member Functional disorder Genetic Hospitals Impairment Infant Life Link Logistics Long-Term Effects Measures Methods Modeling Modernization Movement Neonatal Neurodevelopmental Deficit Newborn Infant Outcome Parents Population Predictive Value Pregnancy Prevention Procedures Process Production Property Public Health Publishing Recording of previous events Registries Regulation Research Rhode Island Risk Risk Marker Sampling Screening procedure Series Siblings Signal Transduction Statistical Models Stress Systems Analysis Technology Testing Validation Woman Work autism spectrum disorder autistic children base biobehavior cohort computerized detection method early childhood early screening follow-up high risk infant improved infancy model building model development neonatal period neurobehavior neurobehavioral novel predictive modeling recruit response screening signal processing success tool development

项目摘要

PROJECT SUMMARY/ABSTRACT Autism Spectrum Disorders (autism) has significant and long term effects on the lives of children and their families. Reliable diagnosis of autism is not possible until 2 years of age or later, and there are no currently available methods to screen for autism in early infancy. Preliminary evidence suggests that children with autism may be characterized by atypical features of cry and neurobehavior during early infancy. Previous research has identified atypicalities in vocal production in older children with autism, and unusual acoustic features of infant cry would be consistent with such findings from early childhood. One barrier to the acoustic analysis of newborn cry has been the lack of a computerized cry analysis system based on modern technology. Our lab has developed a new cry analysis system based on state-of-the-art signal processing that can be used to study acoustic characteristics of cry that could relate to risk for autism. Our group has also developed the NNNS, a widely used and well validated neurobehavioral exam for infants in the newborn period. Preliminary findings point to a set of cry and neurobehavioral features from these measures that was able to differentiate a sample of infants later diagnosed with autism from non-autistic infants included in a longitudinal, heterogeneous, child development study. Other preliminary findings support the hypothesis that infant cry and neurobehavior are affected in infants with later autism diagnoses. In the proposed project, we will utilize cry and neurobehavioral assessments that are being collected as part of unique pregnancy and birth cohort at a large regional hospital. It is anticipated that up to up to 5,000 infants will be enrolled and followed longitudinally. A 2-stage screening and evaluation process will identify children with autism by 24 to 36 months of age. Ongoing analyses will be conducted to identify neonatal cry and neurobehavioral characteristics that are associated with risk for autism using signal detection methods and complex conditional statistical models. This project is of high significance and has the potential to have substantial impact on public health by identifying potential indicators of risk for autism. The long term impact of this research would be on the development of early screening and early interventions for infants at risk for autism.

项目总结/文摘