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

• 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
• 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

“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.

“这项研究是美国国立卫生研究院帮助结束长期成瘾（HEAL）倡议的一部分，该倡议旨在加速科学解决全国阿片类药物公共卫生危机。NIH HEAL倡议支持NIH的研究，以改善对阿片类药物滥用和成瘾的治疗。”