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

> **NIH NIH R01** · UNIVERSITY OF MISSOURI-COLUMBIA · 2022 · $356,252

## Abstract

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.

## Key facts

- **NIH application ID:** 10449324
- **Project number:** 5R01MH121345-05
- **Recipient organization:** UNIVERSITY OF MISSOURI-COLUMBIA
- **Principal Investigator:** STEPHEN J SHEINKOPF
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $356,252
- **Award type:** 5
- **Project period:** 2022-03-26 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10449324

## Citation

> US National Institutes of Health, RePORTER application 10449324, Neonatal Cry Acoustics and Neurobehavioral Characteristics as Early Markers of Risk for Autism Spectrum Disorder (5R01MH121345-05). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10449324. Licensed CC0.

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