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

“这项研究是NIH帮助结束成瘾长期(Heal)倡议的一部分，该倡议旨在加快科学解决国家阿片类药物公共健康危机。NIH Hear倡议支持整个NIH的研究，以改善阿片类药物滥用和成瘾的治疗。“ 在发展研究中使用远程数据收集方法显著增加，部分原因是在新冠肺炎大流行开始时，面对面数据收集停止。这些类型的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，并可能解决该领域中与统计能力和抽样偏差有关的常见问题，所有这些都是与结构和生态有效性相关的重大问题。这项建议的中心目标是支持在婴儿4、8和12个月大时严格应用和验证早期认知发展的远程婴儿测试方法。我们将招募300人 传统上在发展神经科学研究中代表性不足的家庭参与这项纵向研究。该项目的主要目的是(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)调查照顾者-婴儿生理协同调节对婴儿结局的影响，以及(Iii)评估婴儿注意力表型的预测因子以及与社会情绪结局和自闭症风险的纵向关联。这一建议整合了多层次的数据，以改进对家庭内婴儿认知的测量，并将极大地丰富我们对不同社会人口统计环境和背景下的发展轨迹和机制的理解，从而提高预防和干预工作的精确度。

“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.