Use of advanced analytics to understand brain-behavior screen media activity relationships in ABCD data

使用高级分析来了解 ABCD 数据中的大脑行为屏幕媒体活动关系

• 批准号: 10358692
• 负责人: Marc N Potenza
• 金额: $ 130.4万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-10 至 2024-09-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10358692
• 关键词: Addictive Behavior; Address; Adolescence; Adolescent; Adolescent and Young Adult; Age; Behavior; Behavioral; Big Data; Biological; Brain; Brain Stem; Brain region; Cellular Phone; Child; Childhood; Complex; Coupling; Cross-Sectional Studies; Data; Development; Diffusion Magnetic Resonance Imaging; Disease; Exhibits; Exposure to; Gender; Generations; Guide prevention; Guidelines; Health; Hour; Individual; Internet; Investigation; Joints; Link; Maps; Measures; Mediating; Mediation; Mental Health; Methods; Modeling; Pattern; Prefrontal Cortex; Process; Research; Rest; Risk Behaviors; Role; Sampling; Site; Sleep; Sleep disturbances; Social Network; Structure; Surveys; Technology; Thalamic structure; Time; United States National Institutes of Health; Youth; advanced analytics; aged; analytical method; base; boys; brain behavior; brain morphology; clinical care; clinically relevant; cognitive development; connectome; digital; early adolescence; externalizing behavior; follow-up; gender difference; girls; gray matter; indexing; individual variation; innovation; insight; longitudinal analysis; neuroimaging; novel; predictive modeling; recruit; relating to nervous system; sex; social media; time use; tv watching; white matter

Project Summary/Abstract Growing up in a media-saturated world, the current generation of children and adolescents spend on average 6- 9 hours each day on screen media activities (SMAs). Therefore, SMA is a topic of considerable concern in the USA and elsewhere. Given changes in digital technologies and their usage over the past several decades, there is a significant gap in our understanding of shorter- and longer-term impacts of SMA on brain-behavior relationships. Prior studies suggest that problematic patterns of internet use (e.g., internet gaming disorder (IGD)) are linked to brain structural and functional alterations. However, the majority of research focuses on identifying individual SMA-related brain regions, which provide a crude approximation or an incomplete view of factors underlying these complex behaviors. We believe that consideration of brain networks is crucial to understanding neurodevelopmental mechanisms of SMA and associated behaviors. In this application, we propose to use data from the longitudinal Adolescent Brain Cognitive Development (ABCD) study to investigate network-level neural substrates linked to SMA, sleep disturbances and other clinically relevant measures. Multiple advanced analytical approaches will be used to extract novel features at both structural and functional levels. For example, the Joint and Individual Variance Explained (JIVE) method will be used to extract biologically meaningful cortical-subcortical covariation patterns. In this project, we aim to (1) establish relationships between SMA and brain structural and functional development in children aged 9-10 years; and, (2) investigate a potential mediating role of sleep disturbances on the relationship between SMA and brain structural and functional development. Our study uses innovative analytical methods to understand complex SMA-brain-behavior relationships in a large, developing sample recruited at 21 sites across the United Sates. Results from this application should provide important insights into understanding the neural processes involved in SMA, sleep disturbances and other clinically relevant behaviors within a developmental context.

项目摘要/摘要 在一个媒体饱满的世界中成长，当前一代的儿童和青少年平均支出6-- 每天在屏幕媒体活动（SMA）上每天9个小时。因此，SMA是一个相当关注的话题 美国和其他地方。鉴于数字技术的变化及其在过去几十年中的使用情况， 是我们对SMA对脑行为短期和长期影响的理解的重大差距 关系。先前的研究表明，互联网使用的有问题模式（例如，互联网游戏障碍 （IgD））与大脑结构和功能改变有关。但是，大多数研究重点是 识别与SMA相关的单独的大脑区域，这些区域提供粗略的近似或不完整的视图 这些复杂行为的基础。我们认为，对大脑网络的考虑对 了解SMA和相关行为的神经发育机制。在此应用程序中，我们 建议使用纵向青少年脑认知发展（ABCD）研究的数据来研究 网络级的神经底物与SMA，睡眠障碍和其他临床相关措施相关。 多种高级分析方法将用于在结构和功能上提取新型特征 水平。例如，解释的关节和个体方差（JIVE）方法将用于从生物学上提取 有意义的皮质增生协方差模式。在这个项目中，我们的目标是（1）建立 9-10岁儿童的SMA和大脑结构和功能发展； （2）研究潜力 介导睡眠障碍对SMA与大脑结构与功能之间关系的作用 发展。我们的研究使用创新的分析方法来了解复杂的SMA-Brain-Behavior 在整个美国的21个地点招募的大型，开发的样本中的关系。结果 应用应为了解SMA，睡眠中涉及的神经过程提供重要的见解 在发育环境中的干扰和其他临床相关行为。

项目成果

Potential Biological Markers and Treatment Implications for Binge Eating Disorder and Behavioral Addictions.

• DOI: 10.3390/nu15040827
• 发表时间: 2023-02-06
• 期刊: Nutrients
• 影响因子: 5.9
• 作者: Mestre-Bach G;Potenza MN
• 通讯作者: Potenza MN

Cyberchondria: a Growing Concern During the COVID-19 Pandemic and a Possible Addictive Disorder?

• DOI: 10.1007/s40429-022-00462-3
• 发表时间: 2023
• 期刊: CURRENT ADDICTION REPORTS
• 影响因子: 4.3
• 作者: Mestre-Bach, Gemma;Potenza, Marc N
• 通讯作者: Potenza, Marc N

Problematic use of the Internet in low- and middle-income countries before and during the COVID-19 pandemic: a scoping review.

• DOI: 10.1016/j.cobeha.2022.101208
• 发表时间: 2022-12
• 期刊: CURRENT OPINION IN BEHAVIORAL SCIENCES
• 影响因子: 5
• 作者: Gjoneska, Biljana;Potenza, Marc N.;Jones, Julia;Sales, Celia M. D.;Hranov, Georgi;Demetrovics, Zsolt
• 通讯作者: Demetrovics, Zsolt