Novel computer vision-based assessment of infant-caregiver synchrony as an early level II screening tool for autism

基于计算机视觉的婴儿-看护者同步性评估作为自闭症早期 II 级筛查工具

基本信息

  • 批准号:
    10023938
  • 负责人:
  • 金额:
    $ 22万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-24 至 2023-08-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY This R21 addresses a critical need for accurate and scalable screening tools able to detect autism spectrum disorder (ASD) within the first year of life. This project will pilot an innovative digital phenotyping screening method, which uses computer vision and machine learning to measure synchrony within simple infant-caregiver interactions. Synchrony refers to the tendency for infants to spontaneously and dynamically coordinate their behaviors with their caregivers in time. This critical and early-emerging developmental process may provide unique and precise information about an infant’s risk for ASD, while also offering a lens for understanding early social interaction differences at the core of ASD. Significance: This project represents a paradigm shift in ASD screening, moving beyond behavior rating scales toward methods that are better suited to capture the subtle early indicators of ASD. Caregiver rating scales lack the granularity and objectivity necessary for detecting signs of ASD that emerge slowly and subtly throughout the first year. Approach: The interdisciplinary study team will leverage cutting-edge technology to objectively and granularly measure synchrony within 5-minute, play-based infant-caregiver interactions. Markerless computer vision will be used to quantify facial movements, captured unobtrusively with small, bidirectional cameras. The dyadic synchrony among infants’ and caregivers’ facial movements will then be calculated throughout the interaction, as part of an automated machine learning pipeline. Preliminary Data: We evaluated this approach in young adults with and without ASD during brief conversational interactions with research staff members. In a machine learning analysis pipeline, synchrony features classified diagnosis with 91% accuracy - significantly better than expert clinicians assessing the same videos. The same set of synchrony features significantly predicted symptom severity in the ASD group, suggesting that this method is effective for both diagnostic classification and dimensional prediction of individual differences. Importantly, the pipeline also classified diagnosis in children with similarly high accuracy, demonstrating the reproducibility of results across age groups. Aims. This project extends these computer vision-based methods to infants, with the overarching goal of evaluating their utility as a Level II screener for ASD. Aim 1 will evaluate the concurrent validity of our computational measures of interactional synchrony by evaluating their relationships with an established clinician-administered assessment of early ASD markers. Aim 2 will assess the utility of our interactional synchrony measure as a Level II screening tool at 12 months, by testing its ability to predict future ASD diagnosis with high specificity. Impact: This R21 will provide initial validation for a novel, computer vision- based screener for ASD in infancy. By targeting the dynamics of natural infant-caregiver interactions, this method has the potential to identify very early signs of disrupted social development, even before classic ASD symptoms emerge. Moreover, this quick interaction-based screener would fit easily into the context of routine pediatric care, holding promise as a Level II screener deployable within a universal screening framework.
项目总结

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

ROBERT Thomas SCHULTZ其他文献

ROBERT Thomas SCHULTZ的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('ROBERT Thomas SCHULTZ', 18)}}的其他基金

Clinical Translational Core
临床转化核心
  • 批准号:
    10678894
  • 财政年份:
    2021
  • 资助金额:
    $ 22万
  • 项目类别:
Clinical Translational Core
临床转化核心
  • 批准号:
    10240000
  • 财政年份:
    2021
  • 资助金额:
    $ 22万
  • 项目类别:
Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic Interactions
通过计算机视觉对二元交互过程中运动同步的分析来预测自闭症和社交功能
  • 批准号:
    10057391
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic Interactions
通过计算机视觉对二元交互过程中运动同步的分析来预测自闭症和社交功能
  • 批准号:
    10540333
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic Interactions
通过计算机视觉对二元交互过程中运动同步的分析来预测自闭症和社交功能
  • 批准号:
    10308068
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
Testing the hyperspecificity hypothesis: a neural theory of autism
检验超特异性假说:自闭症的神经理论
  • 批准号:
    8514729
  • 财政年份:
    2012
  • 资助金额:
    $ 22万
  • 项目类别:
Testing the hyperspecificity hypothesis: a neural theory of autism
检验超特异性假说:自闭症的神经理论
  • 批准号:
    8359473
  • 财政年份:
    2012
  • 资助金额:
    $ 22万
  • 项目类别:
NEUROIMAGING OF AUTISM SPECTRUM DISORDERS
自闭症谱系障碍的神经影像学
  • 批准号:
    8171148
  • 财政年份:
    2010
  • 资助金额:
    $ 22万
  • 项目类别:
NEUROIMAGING OF AUTISM SPECTRUM DISORDERS
自闭症谱系障碍的神经影像学
  • 批准号:
    7955782
  • 财政年份:
    2009
  • 资助金额:
    $ 22万
  • 项目类别:
Developing a Community-Based ASD Research Registry
开发基于社区的 ASD 研究登记处
  • 批准号:
    7830900
  • 财政年份:
    2009
  • 资助金额:
    $ 22万
  • 项目类别:

相似海外基金

Developing a Young Adult-Mediated Intervention to Increase Colorectal Cancer Screening among Rural Screening Age-Eligible Adults
制定年轻人介导的干预措施,以增加农村符合筛查年龄的成年人的结直肠癌筛查
  • 批准号:
    10653464
  • 财政年份:
    2023
  • 资助金额:
    $ 22万
  • 项目类别:
Doctoral Dissertation Research: Estimating adult age-at-death from the pelvis
博士论文研究:从骨盆估算成人死亡年龄
  • 批准号:
    2316108
  • 财政年份:
    2023
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Determining age dependent factors driving COVID-19 disease severity using experimental human paediatric and adult models of SARS-CoV-2 infection
使用 SARS-CoV-2 感染的实验性人类儿童和成人模型确定导致 COVID-19 疾病严重程度的年龄依赖因素
  • 批准号:
    BB/V006738/1
  • 财政年份:
    2020
  • 资助金额:
    $ 22万
  • 项目类别:
    Research Grant
Transplantation of Adult, Tissue-Specific RPE Stem Cells for Non-exudative Age-related macular degeneration (AMD)
成人组织特异性 RPE 干细胞移植治疗非渗出性年龄相关性黄斑变性 (AMD)
  • 批准号:
    10294664
  • 财政年份:
    2020
  • 资助金额:
    $ 22万
  • 项目类别:
Sex differences in the effect of age on episodic memory-related brain function across the adult lifespan
年龄对成人一生中情景记忆相关脑功能影响的性别差异
  • 批准号:
    422882
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
    Operating Grants
Modelling Age- and Sex-related Changes in Gait Coordination Strategies in a Healthy Adult Population Using Principal Component Analysis
使用主成分分析对健康成年人群步态协调策略中与年龄和性别相关的变化进行建模
  • 批准号:
    430871
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
    Studentship Programs
Transplantation of Adult, Tissue-Specific RPE Stem Cells as Therapy for Non-exudative Age-Related Macular Degeneration AMD
成人组织特异性 RPE 干细胞移植治疗非渗出性年龄相关性黄斑变性 AMD
  • 批准号:
    9811094
  • 财政年份:
    2019
  • 资助金额:
    $ 22万
  • 项目类别:
Study of pathogenic mechanism of age-dependent chromosome translocation in adult acute lymphoblastic leukemia
成人急性淋巴细胞白血病年龄依赖性染色体易位发病机制研究
  • 批准号:
    18K16103
  • 财政年份:
    2018
  • 资助金额:
    $ 22万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Doctoral Dissertation Research: Literacy Effects on Language Acquisition and Sentence Processing in Adult L1 and School-Age Heritage Speakers of Spanish
博士论文研究:识字对西班牙语成人母语和学龄传统使用者语言习得和句子处理的影响
  • 批准号:
    1823881
  • 财政年份:
    2018
  • 资助金额:
    $ 22万
  • 项目类别:
    Standard Grant
Adult Age-differences in Auditory Selective Attention: The Interplay of Norepinephrine and Rhythmic Neural Activity
成人听觉选择性注意的年龄差异:去甲肾上腺素与节律神经活动的相互作用
  • 批准号:
    369385245
  • 财政年份:
    2017
  • 资助金额:
    $ 22万
  • 项目类别:
    Research Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了