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.

项目概要注意力、社交和沟通功能障碍已成为一个重要的公共卫生问题然而，我们缺乏一个系统的数据库来描述基本构建模块的典型发展，支持最佳结果。我们开发了前两个个体差异测量来评估这些建筑婴儿和儿童积木。我们现在建议在13个研究实验室实施这些措施，以集体建立一个精心规划的、大规模的、共享的数据库，挖掘数据库以推进知识和理论的发展发展科学，同时打造合作研究的新模式。面部、声音和针对婴儿的言语对于正常发育的婴儿和脚手架来说非常重要语言、社交和认知发展。相比之下，自闭症儿童表现出社交导向社会沟通功能的障碍和缺陷。这些能力依赖于早期的多感官注意力技能（整合和关注跨感官的信息），特别是在动态变化中面孔、声音和视听演讲。如果没有措施评估这些基本的个体差异技能及其影响后期语言、社交和认知发展的途径仍然很差明白了。我们的新协议评估了注意力维持、脱离和注意力方面的个体差异。前语言中视听社交和非社交事件的感觉间处理的速度和准确性孩子们。我当前的 R01 的初步发现揭示了这些多感官技能之间令人兴奋的关系以及 3-36 个月大婴儿的语言和社交结果。本提案建立在这一基础上。这多感官数据网络汇集了 13 位发育科学领域的专家。我们将 1) 整合我们的新将协议纳入每个研究实验室，并且 2) 与每个实验室实施总体数据收集计划使用这两种协议以及标准化语言和社交结果来测试参与者。这将创建一个包含 1600 多名 3-60 个月大儿童的共享数据库。 3）数据将上传到Databrary，在线数据共享图书馆。 4）我们将指导和规范跨站点的数据收集，并创建一个多站点聚合数据集，以便研究人员之间轻松共享。 5）发挥大企业优势数据集，我们将推导出 3-60 个月多感官注意力技能的第一个初步规范，使用基于 SEM 的尖端分析，开发表征发育级联的模型多感官注意力技能到更复杂的语言和社交能力都依赖于此基础。 6）然后，我们开发便携式协议，将潜在应用扩展到教室和家庭环境。这项目将提供第一个多感官注意力技能数据集以及对第一个后续结果的影响生命的 5 年，对于识别非典型轨迹和有延误风险的婴儿和指导具有重要意义干预措施。这种协作模式将催生新的研究方向，并且更具时间效率、成本效益有效，并将生成比单个研究实验室更大、更多样化的数据集。