Integrating eye-tracking and ECG methodologies for remote infant neurocognitive assessments in the home

整合眼动追踪和心电图方法，在家中进行远程婴儿神经认知评估

基本信息

批准号：
10773680
负责人：
Natalie Hiromi Brito
金额：
$ 59.79万
依托单位：
NEW YORK UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-30 至 2027-07-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10773680
关键词：
Address Affect Age Months Area Arousal Attention Back Behavior Behavioral COVID-19 pandemic Caregivers Characteristics Child Development Childhood Cognition Cognitive Complex Computers Data Data Collection Development Electrocardiogram Emotional Environment Eye Family Heart Rate Home Home environment Household Infant Intervention Laboratories Life Link Longitudinal Studies Low income Machine Learning Measures Memory Methodology Methods Modality Neurocognitive Neurodevelopmental Disorder Neurosciences Research Outcome Participant Persons Phenotype Physiological Physiology Play Process Protocols documentation Psychosocial Stress Race Regulation Reproducibility Research Research Methodology Response to stimulus physiology Risk Risk Marker Role Sampling Sampling Biases Short-Term Memory Testing Validation Visual attention autism spectrum disorder behavior measurement cognitive development cognitive skill cognitive testing data collection methodology ethnic diversity family burden gaze handheld mobile device improved indexing individualized prevention infant monitoring infant outcome marginalized community memory recognition multimodality non-verbal open source procedural memory recruit remote assessment remote grading rural residence skills sociodemographics socioeconomics sustained attention visual tracking

项目摘要

“This study is part of the NIH’s Helping to End Addiction Long-term (HEAL) initiative to speed scientific solutions to the national opioid public health crisis. The NIH HEAL Initiative bolsters research across NIH to improve treatment for opioid misuse and addiction.” Use of remote data collection methodology in developmental research has increased significantly, in part due to in-person data collection stoppage that occurred at the start of the COVID-19 pandemic. These kinds of data collection methods are likely to decrease barriers to participation for families, increase sample sociodemographic diversity, and could potentially address common problems in the field related to statistical power and sampling bias, all significant issues associated with construct and ecological validity. The central objective of this proposal is to support the rigorous application and validation of remote infant testing methodology of early cognitive development when infants are 4, 8, and 12-month of age. We will recruit 300 families who are traditionally underrepresented in developmental neuroscience research to participate in this longitudinal study. The primary aims of this project are to (i) establish and validate remote physiological and behavioral measurements of infant attention and memory skills, (ii) investigate the impact of caregiver-infant physiological co-regulation on infant outcomes, and (iii) evaluate predictors of infant attention phenotypes and longitudinal associations with socioemotional outcomes and autism risk. This proposal integrates multi-level data to improve measurement of infant cognition within the home and will substantially enrich our understanding of developmental trajectories and mechanisms across socio-demographically diverse environments and contexts, leading to increased precision for prevention and intervention efforts.

“这项研究是 NIH 帮助结束成瘾长期 (HEAL) 计划的一部分，该计划旨在加快对国家阿片类药物公共卫生危机的科学解决方案。NIH HEAL 计划支持 NIH 的研究，以改善阿片类药物滥用和成瘾的治疗。” 发展研究中远程数据收集方法的使用显着增加，部分原因是在 COVID-19 大流行开始时停止了面对面的数据收集，这些数据收集方法可能会减少家庭参与的障碍。，增加样本社会人口多样性，并可能解决与统计功效和抽样偏差相关的领域的常见问题，以及与结构和生态有效性相关的所有重大问题。该提案的中心目标是支持远程婴儿的严格应用和验证。婴儿 4 岁时早期认知发展的测试方法， 8、12个月大的我们将招募300名。传统上在发育神经科学研究中代表性不足的家庭参与这项纵向研究的主要目的是（i）建立和验证婴儿注意力和记忆技能的远程生理和行为测量，（ii）照顾者的影响 -婴儿生理对婴儿结果的共同调节，以及（iii）评估婴儿注意力表型的预测因素，并将与社会情绪结果和自闭症风险的纵向关联整合起来。这提出了多层次的数据，以改善家庭中婴儿认知的测量，并将大大丰富我们的研究。对发展的理解跨社会人口多样化环境和背景的轨迹和机制，从而提高预防和干预工作的准确性。