Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and early treatment
患有 ASD 的幼儿同时发生 ADHD:先兆、检测、神经特征和早期治疗
基本信息
- 批准号:9385863
- 负责人:
- 金额:$ 238.05万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-07 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccelerationAddressAffectAgeAge-MonthsAttentionAttention deficit hyperactivity disorderAttentional deficitAutistic DisorderBehaviorBehavior TherapyBehavioralBiologicalBiological MarkersBrainCaringCharacteristicsChildChildhoodClinicClinicalClinical TrialsComorbidityComputer Vision SystemsComputersDataData AnalysesDetectionDevelopmentDiagnosisDiseaseEarly DiagnosisEarly InterventionEarly treatmentEducationEngineeringEpidemiologyEthnic OriginEtiologyEyeGeneticGoalsHealthHealth Services ResearchHeterogeneityHigh PrevalenceHyperactive behaviorImpulsivityIndividualInterventionKnowledgeLifeLinkMeasuresMedical HistoryMethodsModelingMonitorMovementNeurobiologyNeurocognitiveNeurosciencesOutcomeParent-Child RelationsParentsPatientsPatternPharmacologyPhenotypePopulationPrimary Health CareProcessQuality of lifeRaceRecruitment ActivityResearchResearch InfrastructureResearch PersonnelRiskRisk FactorsSamplingSocial InteractionSocioeconomic StatusSourceSubgroupSymptomsTechnologyTemperamentTestingToddlerWorkautism spectrum disorderbaseclinical practicecohortcostdata managementdevelopmental psychologyearly childhoodeffective therapyhigh riskimprovedimproved outcomeinattentioninfancymodel developmentneuromechanismneurophysiologynoveloutreachpersonalized medicineprospectiverelating to nervous systemresponseroutine carescreeningsocialsocial attentionsocial engagementsocial learningstatisticstreatment responsetreatment strategy
项目摘要
ABSTRACT – Co-occurring ADHD in young children with ASD: Precursors, detection, neural signatures, and
early treatment
Attention deficit hyperactivity disorder (ADHD) occurs in ~40-60% of individuals with autism spectrum disorder
(ASD) and substantially contributes to poorer clinical outcomes. Yet, very little research has focused on the
overlap of ASD and ADHD during early childhood. Thus, little is known about how these two conditions co-
emerge early in life. Given the high prevalence and clinical impact of the comorbidity of ASD and ADHD, the
overall goal of the Duke Autism Center of Excellence is to characterize how co-occurring ADHD influences
early screening, neural signatures, developmental trajectories, and response to early treatment of young
children with ASD. Project 1 will characterize risk factors for and emergence of co-occurring ADHD symptoms
in young children at risk for ASD and examine how these symptoms influence early detection and progression
of ASD. This project will clarify why children who have co-occurring ADHD are diagnosed at a much later age
and inform more effective early detection strategies. Following a large sample of toddlers receiving routine care
in Duke pediatric primary clinics (N = ~ 2800 patients/year), Project 1 will prospectively identify children at risk
for ASD and collect data on risk factors, ADHD, and developmental outcomes. Project 2 will elucidate shared
and distinct neural signatures and attention-related biomarkers related to ASD and ADHD, examine the
functional impact of co-occurring ADHD in young children with ASD, and identify precursor characteristics
during infancy that are predictive of later emergence of comorbid ASD and ADHD. This project will characterize
children with ASD alone, ASD+ADHD, ADHD alone, and typically-developing children, using state-of-the-art
methods, including neurophysiology, eye-tracking, movement-tracking, and computer vision analysis. Project
3 will evaluate a novel early intervention model personalized for young children with ASD+ADHD that
pharmacologically addresses ADHD symptoms prior to initiating early behavioral intervention, and identify
changes in behavioral and neurophysiological activity that may underlie response to treatment. This project will
accomplish these goals by evaluating whether stimulant treatment (Adzenys-XR-ODT) augments the efficacy
of a parent-delivered behavioral intervention based on the Early Start Denver Model. This project will examine
whether changes in outcome are correlated with improvements in social attention, measured via eye-tracking
biomarkers, and social engagement during parent-child interaction. This project will also examine
neurophysiological changes underlying improvements in behavior. These projects will be supported by four
cores: Administrative Core, Recruitment and Assessment Core, Data Management and Analysis Core,
and Dissemination and Outreach Core. Functioning as a whole, the Duke Autism Center of Excellence will
offer the most comprehensive understanding to date of the impact of ADHD on young children with ASD,
providing important information that will allow for biologically informed and personalized methods for early
detection and treatment that could mitigate the negative impact of co-occurring ADHD on individuals with ASD.
摘要--自闭症儿童伴发ADHD:先兆、检测、神经特征和
早期治疗
注意缺陷多动障碍(ADHD)发生在40%-60%的自闭症谱系障碍患者中
(ASD),并在很大程度上导致较差的临床结果。然而,很少有研究关注于
儿童早期自闭症和多动症的重叠。因此,人们对这两种情况是如何共同作用的知之甚少。
在生命中很早就出现。鉴于ASD和ADHD共病的高患病率和临床影响,
杜克大学自闭症卓越中心的总体目标是研究ADHD如何影响共病
早期筛查、神经特征、发育轨迹和对早期治疗的反应
患有自闭症的儿童。项目1将描述共同出现的ADHD症状的危险因素和出现情况
并检查这些症状如何影响早期发现和进展
自闭症患者。这个项目将阐明为什么患有多动症的儿童在较晚的年龄被诊断出来。
并告知更有效的早期检测策略。跟踪接受常规护理的大量幼儿样本
在杜克大学儿科初级诊所(N=约2800名患者/年),项目1将前瞻性地识别有风险的儿童
并收集有关风险因素、ADHD和发育结果的数据。项目2将阐明共享
和与ASD和ADHD相关的不同神经特征和注意力相关生物标记物,检查
伴发ADHD对自闭症儿童的功能影响,并确定先兆特征
在婴儿期,这预示着以后会出现ASD和ADHD共病。这个项目的特点是
单独患有ASD、ASD+ADHD、单独ADHD的儿童,以及典型的发育中儿童,使用最先进的
方法包括神经生理学、眼球跟踪、运动跟踪和计算机视觉分析。项目
3将评估一种针对ASD+ADHD儿童的个性化早期干预模式
在启动早期行为干预之前,从药物上解决ADHD症状,并确定
行为和神经生理活动的变化可能是治疗反应的基础。这个项目将
通过评估刺激性治疗(Adzenys-XR-ODT)是否增强疗效来实现这些目标
基于早期启动丹佛模式的父母提供的行为干预。这个项目将检查
结果的变化是否与社会注意力的改善相关,通过眼球跟踪来衡量
生物标志物和亲子互动过程中的社会参与。该项目还将审查
行为改善背后的神经生理学变化。这些项目将得到四个项目的支持
核心:行政核心、招聘和评估核心、数据管理和分析核心、
以及传播和外联核心。作为一个整体,杜克大学自闭症卓越中心将
提供迄今为止关于ADHD对患有自闭症的幼儿的影响的最全面的了解,
提供重要的信息,使早期的生物信息和个性化方法成为可能
检测和治疗可以减轻ADHD并存对ASD患者的负面影响。
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)
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Geraldine Dawson其他文献
Geraldine Dawson的其他文献
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{{ truncateString('Geraldine Dawson', 18)}}的其他基金
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
- 批准号:
10443752 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder
用于自闭症谱系障碍主动闭环行为编码的可扩展计算平台
- 批准号:
10440249 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
- 批准号:
10227331 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
- 批准号:
10018110 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Novel Approaches to Infant Screening for ASD in Pediatric Primary Care
儿科初级保健中婴儿自闭症谱系障碍筛查的新方法
- 批准号:
10670242 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Scalable Computational Platform For Active Closed-Loop Behavioral Coding in Autism Spectrum Disorder
用于自闭症谱系障碍主动闭环行为编码的可扩展计算平台
- 批准号:
9791518 - 财政年份:2019
- 资助金额:
$ 238.05万 - 项目类别:
Neural signatures, developmental precursors, and outcomes in young children with ASD and ADHD
患有 ASD 和 ADHD 的幼儿的神经特征、发育前兆和结果
- 批准号:
10227712 - 财政年份:2017
- 资助金额:
$ 238.05万 - 项目类别:
Duke Autism Center of Excellence: A translational digital health and computational approach to early identification, outcome monitoring, and biomarker discovery in autism
杜克大学自闭症卓越中心:用于自闭症早期识别、结果监测和生物标志物发现的转化数字健康和计算方法
- 批准号:
10523403 - 财政年份:2017
- 资助金额:
$ 238.05万 - 项目类别:
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