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Multisensory Development: New Measures and a Collaborative Database

多感官发展：新措施和协作数据库

基本信息

批准号：
10400057
负责人：
Lorraine E Bahrick
金额：
$ 57.57万
依托单位：
FLORIDA INTERNATIONAL UNIVERSITY
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：
2019-04-19 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10400057
关键词：
5 year old Achievement Address Affect Age Area Attention Child Childhood Cognitive Collaborations Complex Data Data Aggregation Data Collection Data Pooling Data Set Databases Detection Development Disease Early Intervention Education Ensure Equation Event Face Foundations Future Grain Home Impairment Individual Individual Differences Infant Intervention Knowledge Language Language Development Learning Libraries Life Link Maintenance Measures Methods Modeling Modernization Outcome Participant Pathway interactions Protocols documentation Public Health Research Research Design Research Personnel Resources Risk Role Sampling Schools Science Site Social Development Social Functioning Social outcome Speech Speed Standardization Subgroup Tablets Testing Time Training Voice analytical method audiovisual speech autistic children base cognitive development cost effective data management data mining data quality data standards early childhood indexing infancy language outcome laptop large datasets multisensory portability programs scaffold shared database skills social theories touchscreen

项目摘要

Project Summary Disorders of attention, social, and communicative functioning have become a significant public health concern yet we lack a systematic data base characterizing the typical development of basic building blocks that support optimal outcomes. We developed the first two individual difference measures assessing these building blocks for infants and children. We now propose to implement the measures in 13 research labs to collectively build a well-planned, large-scale, shared database, mine the database to advance knowledge and theory in developmental science, and, at the same time, forge a new model for collaborative research. Faces, voices, and infant-directed speech are highly salient to typically developing infants and scaffold language, social, and cognitive development. In contrast, children with autism show social-orienting impairments and deficits in social-communicative functioning. These capabilities depend on early multisensory attention skills (integrating and attending to information across the senses) particularly in dynamically changing faces, voices, and audiovisual speech. Without measures to assess individual differences in these fundamental skills, the pathways by which they affect later language, social, and cognitive development remain poorly understood. Our new protocols assess individual differences in attention maintenance, disengagement, and speed, and accuracy of intersensory processing for audiovisual social and nonsocial events in preverbal children. Preliminary findings from my current R01 reveal exciting relations between these multisensory skills and language and social outcomes in 3-36-month-olds. The present proposal builds on this foundation. The Multisensory Data Network brings together 13 experts in developmental science. We will 1) integrate our new protocols into each of their research labs, and 2) implement an overall data collection plan, with each lab testing participants using both protocols along with standardized language and social outcomes. This will create a shared database of more than 1600 3-60 month old children. 3) Data will be uploaded to Databrary, an online data-sharing library. 4) We will guide and standardize data collection across sites and create a multisite aggregate dataset for easy sharing across investigators. 5) Capitalizing on advantages of large datasets, we will derive the first preliminary norms for multisensory attention skills across 3-60 months and, using cutting-edge, SEM-based analyses, develop models characterizing developmental cascades from multisensory attention skills to more complex language and social capabilities that rely on this foundation. 6) We then develop portable protocols, expanding potential applications to classroom and home settings. This project will provide the first dataset of multisensory attention skills and effects on later outcomes across the first 5 years of life, with implications for identifying atypical trajectories and infants at risk for delays and guiding interventions. This collaborative model will catalyze new research directions and is more time efficient, cost effective, and will generate a larger, more diverse dataset than possible in individual research labs.

项目总结