Nonlinguistic Vocalizations in Autism: Acoustic Cry Analysis in Early Infancy
自闭症的非语言发声:婴儿早期的声学哭泣分析
基本信息
- 批准号:7585958
- 负责人:
- 金额:$ 7.33万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-30 至 2010-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcousticsAdultAffectiveAgeAge-MonthsApplied ResearchAttentionAutistic DisorderBehavioralBiosocialCharacteristicsChildClassificationClinicalCommunicationCommunication impairmentConditionControl GroupsCryingDataDevelopmentDevelopmental Delay DisordersDiagnosisDiagnosticDiseaseDisruptionEarly identificationEmotionalFrequenciesGenderGestational AgeHome environmentInfantInterventionLanguage DevelopmentLeadLifeLiteratureLoudnessMeasurementMeasuresMethodsModelingNatureNewborn InfantParentsPatternPhonationPlant RootsPopulationProductionPropertyPublic HealthRangeRateResearchSamplingScreening procedureSignal TransductionSigns and SymptomsSocial InteractionSpeechSymptomsSystemSystems AnalysisTimeVideotapeVideotape Recordingautism spectrum disorderdesignearly childhoodimprovedinfancynamed groupsocialsocial communicationtheoriestoolvocalization
项目摘要
DESCRIPTION (provided by applicant): Autism is associated with disruptions in vocal production and emotional signaling. Previous research has identified atypicalities in prosodic qualities of speech and vocalizations in children with autism. Such nonverbal aspects of vocal production can be measured in even very young infants through the measurement of the prosodic qualities of cry. From a biosocial model, infant cry can be seen as both a nonspecific indicator of neurophysiologic functioning and as serving important opportunities for dyadic social interaction in the early months of life. Thus, atypicalities in cry production may reflect disruptions in the development of both vocal production and emotional signaling. To date, there has been very little systematic research on vocal production in infants later diagnosed with autism, and no study has yet to investigate cry characteristics in this population. The identification of atypical cry characteristics in autism would help to improve efforts to identify autism in infancy. This study will measure the acoustic properties of cry from early home videotapes in children with autism. Using a variety of means of publicity, we will solicit home videotapes from parents of children with autism spectrum disorders. Analyses will be limited to recording of infants from the first 6 months of life. Portions of these vocal samples that contain spontaneous cries will be selected and analyzed for a range of acoustic characteristics. We will compare the acoustic features of cry from children with autism to a group of non-autistic infants selected to match the autistic infants in terms of age at time of recording as well as general setting characteristics of the videotape recording. We will utilize a cry analysis system that has been used in a wide range of studies of typical and special populations. A unique characteristic of the cry analysis system proposed for use in this study is that it was designed to model the qualities of the vocal tract unique to young infants. This study will have implications for both applied research on early screening, as well as research on the origins and developmental course of communication and vocal signaling in autism. PUBLIC HEALTH RELEVANCE This research is highly relevant to both early identification and intervention for children with autism. By identifying atypical aspects of cry in infancy associated with this disorder, this research will aide in the development of more sensitive and specific screening and diagnostic tools for use in infancy. In addition, this research will improve our understanding of the roots and course of communication impairments in autism.
描述(由申请人提供):自闭症与人声产生和情感信号的中断有关。先前的研究已经确定了自闭症儿童的言语和发声的韵律品质的非典型性。即使在非常年轻的婴儿中,可以通过测量韵律的哭泣品质来衡量声乐产生的这种非语言方面。从生物社会模型中,婴儿的哭声既可以看作是神经生理功能的非特异性指标,又是在生命早期为二元社会互动提供重要的机会。因此,哭泣产量的非典型性可能反映了声音产生和情感信号传导的发展中断。迄今为止,对后来被诊断为自闭症的婴儿的声音产生的系统研究很少,尚未研究该人群的哭泣特征。自闭症中非典型哭泣特征的识别将有助于改善识别婴儿期自闭症的努力。这项研究将衡量自闭症儿童早期家庭录像带中哭泣的声学特性。使用各种宣传方式,我们将征求自闭症谱系障碍儿童父母的家庭录像带。分析将仅限于生命前6个月的婴儿记录。将选择包含自发哭声的这些声音样本的一部分,并分析一系列声学特征。我们将比较自闭症儿童的哭泣的声学特征与一群从记录时的年龄以及录像带记录的一般设置特征来匹配自闭症婴儿的一组非自闭症婴儿。我们将利用已在典型和特殊人群的广泛研究中使用的哭泣分析系统。在这项研究中提出的哭泣分析系统的独特特征是,它旨在模拟年轻婴儿独有的声带的质量。这项研究将对早期筛查的应用研究以及对自闭症的沟通和声音信号的起源和发育过程的研究有影响。公共卫生相关性这项研究与自闭症儿童的早期识别和干预高度相关。通过确定与该疾病相关的婴儿期哭泣的非典型方面,这项研究将有助于开发更敏感,更特定的筛查和诊断工具以供婴儿期使用。此外,这项研究将提高我们对自闭症中沟通障碍的根源和过程的理解。
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 }}
STEPHEN J SHEINKOPF其他文献
STEPHEN J SHEINKOPF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('STEPHEN J SHEINKOPF', 18)}}的其他基金
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
- 批准号:
10449324 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
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
- 批准号:
10597406 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
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
- 批准号:
10011856 - 财政年份:2019
- 资助金额:
$ 7.33万 - 项目类别:
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
- 批准号:
10213595 - 财政年份:2019
- 资助金额:
$ 7.33万 - 项目类别:
Early Detection of Autism through Acoustic Analysis of Cry
通过哭声声学分析早期发现自闭症
- 批准号:
7841504 - 财政年份:2009
- 资助金额:
$ 7.33万 - 项目类别:
Pre- and Postnatal Neurobehavioral Profiles in Infants at Risk for Autism
有自闭症风险的婴儿产前和产后神经行为特征
- 批准号:
7642540 - 财政年份:2008
- 资助金额:
$ 7.33万 - 项目类别:
Nonlinguistic Vocalizations in Autism: Acoustic Cry Analysis in Early Infancy
自闭症的非语言发声:婴儿早期的声学哭泣分析
- 批准号:
7697108 - 财政年份:2008
- 资助金额:
$ 7.33万 - 项目类别:
VAGAL TONE AND SOCIAL OUTCOME IN AT RISK CHILDREN
高危儿童的迷走神经张力和社会结果
- 批准号:
6344479 - 财政年份:2000
- 资助金额:
$ 7.33万 - 项目类别:
VAGAL TONE AND SOCIAL OUTCOME IN AT RISK CHILDREN
高危儿童的迷走神经张力和社会结果
- 批准号:
6014545 - 财政年份:1999
- 资助金额:
$ 7.33万 - 项目类别:
相似国自然基金
成人型弥漫性胶质瘤患者语言功能可塑性研究
- 批准号:82303926
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
MRI融合多组学特征量化高级别成人型弥漫性脑胶质瘤免疫微环境并预测术后复发风险的研究
- 批准号:82302160
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
成人免疫性血小板减少症(ITP)中血小板因子4(PF4)通过调节CD4+T淋巴细胞糖酵解水平影响Th17/Treg平衡的病理机制研究
- 批准号:82370133
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
SMC4/FoxO3a介导的CD38+HLA-DR+CD8+T细胞增殖在成人斯蒂尔病MAS发病中的作用研究
- 批准号:82302025
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
融合多源异构数据应用深度学习预测成人肺部感染病原体研究
- 批准号:82302311
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
The Effect of Acoustic Enhancement of Slow-Wave Activity on Cognitive Control and Emotional Reactivity in Young Adults with Anxiety and Depression Symptoms
慢波活动的声学增强对患有焦虑和抑郁症状的年轻人的认知控制和情绪反应性的影响
- 批准号:
10501720 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
The Effect of Acoustic Enhancement of Slow-Wave Activity on Cognitive Control and Emotional Reactivity in Young Adults with Anxiety and Depression Symptoms
慢波活动的声学增强对患有焦虑和抑郁症状的年轻人的认知控制和情绪反应性的影响
- 批准号:
10678866 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
Quantitative Language and Facial Expression Phenotyping of Chronic Pain
慢性疼痛的定量语言和面部表情表型
- 批准号:
10569769 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
Quantitative Language and Facial Expression Phenotyping of Chronic Pain
慢性疼痛的定量语言和面部表情表型
- 批准号:
10709614 - 财政年份:2022
- 资助金额:
$ 7.33万 - 项目类别:
感情や個人性を高品質に表現可能なDNNに基づく音声合成方式の研究
基于DNN的高质量表达情感和个性的语音合成方法研究
- 批准号:
21K11963 - 财政年份:2021
- 资助金额:
$ 7.33万 - 项目类别:
Grant-in-Aid for Scientific Research (C)