Identification of RDoC Social Communication Sub-Constructs Using Existing Datasets
Identification of RDoC Social Communication Sub-Constructs Using Existing Datasets
批准号:
9224382
负责人:
ANTONIO HARDAN
金额:
$7.85万
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
项目状态:
已结题
起止时间:
2017-07-01 至 2019-06-30
关键词:
AddressAgeAnxiety DisordersAttentionBehaviorBehavioralBiologicalBlindedChildClinicalDSM-VDataData SetData SourcesDevelopmentDimensionsDiseaseEmotionalEtiologyExhibitsFaceFutureGenesGeneticGoalsInterviewJudgmentLeftLinkLiteratureMapsMeasuresMental disordersModelingMood DisordersMotivationNational Institute of Mental HealthNeurodevelopmental DisorderParentsPatient CarePhasePhysiologyPlayProcessPsychopathologyReadabilityReadingReportingResearchResearch Domain CriteriaResearch PersonnelRoleSamplingSiteSocial BehaviorSourceStatistical Data InterpretationStatistical MethodsStructureSymptomsSystemTestingTranslatingWritinganalytical methodautism spectrum disorderclinical practicecommunication behaviordevelopmental diseasedissemination researcheighth gradeexhaustionimprovedinstrumentprogramsrelating to nervous systemsocialsocial communicationtool
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Abstract
NIMH Research domain criteria (RDoC) are a guiding framework for etiologic research in psychopathology.
The RDoC Social Communication (SC) construct represents an important component of several forms of
developmental psychopathology, including autism spectrum disorder (ASD). A key next step in the
application of RDoC SC criteria toward understanding developmental psychopathology will be to identify,
differentiate, and measure SC sub-constructs. The over-arching long-term goal of this application is to
develop brief, quantitative, subjective parent report and clinician observation measures of RDoC SC sub-
constructs relevant to developmental psychopathology. To achieve this goal, we will first empirically identify
and differentiate broad and specific RDoC-relevant SC sub-constructs using de-identified clinical and
behavioral data from samples an order of magnitude larger than all previous studies (Aim 1). This approach
will identify a generalizable structure of SC behavior by combining data across datasets and applying
advanced statistical methods that simultaneously extract SC dimensions from multiple measures and
information sources (parent report, parent interview, and clinician observation). Next, using the results of
aim 1 and an exhaustive review of the social communication literature, we will fill in the SC map by
conducting additional quantitative and qualitative analyses focused on identifying SC facets that were not
adequately represented by existing item sets (Aim 2). Finally, using the results of Aims 1 and 2, we will
develop and pilot test parent report and clinician observation measures of RDoC-relevant SC sub-
constructs. To accomplish these aims, the proposed project will analyze data from eight large-sample
sources that include measures of social behavior on more than 30,000 children (ages 2-18) with a range of
social communication abilities - from severe ASD to other psychiatric disorders to healthy controls. After SC
sub-structure is identified, we will write parent-report and clinician observation measures and pilot test these
measures for content validity, readability, and parent acceptability. If the above aims are achieved, the
proposed project will represent a critical first step toward the development and dissemination of RDoC-
relevant SC measures that can linked to other RDoC levels of analysis (genetic, cellular, neural systems,
etc.), applied in future research to improve our understanding of developmental psychopathology, and
implemented in clinical practice to enhance patient care.
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