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The impact of early life adversity on brain network development in youth

早年逆境对青少年大脑网络发育的影响

基本信息

批准号：
10676188
负责人：
Rasmus Matthias Birn
金额：
$ 37.54万
依托单位：
UNIVERSITY OF WISCONSIN-MADISON
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-08-03 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10676188
关键词：
Address Adolescent Affect Age Behavior Behavioral Biological Brain Childhood Cognitive Conflict (Psychology)Coupled Crime Data Development Dimensions Disease Early identification Emotional Exposure to Family Foundations Goals Growth Image Individual Individual Differences Intervention Knowledge Longitudinal Studies Machine Learning Maps Mental disorders Methods Modality Modeling Neighborhoods Neurobiology Onset of illness Outcome Study Pathway interactions Prevalence Prevention strategy Properdin Psychopathology Puberty Research Research Design Research Personnel Resistance Rest Risk Sample Size Sex Differences Sexual abuse Social support Symptoms System Time Validation Violence Work Youth childhood adversity cognitive development cognitive load cohort community violence critical developmental period early experience early life adversity early life stress experience indexing insight machine learning prediction multidisciplinary neural neurobiological mechanism neuroimaging novel personalized intervention physical abuse predictive marker prospective psychiatric symptom resilience risk prediction sex

项目摘要

PROJECT SUMMARY Early life adversity (ELA), such as physical or sexual abuse, witnessing a crime, family conflict, or community violence, can have prolonged effects and significantly increases the risk for later psychopathology. Experiencing such adversity can result in a wide range of psychiatric disorders, which have been found to be more resistant to treatment. Further complicating intervention efforts, some youth exposed to ELA continue to show normal functioning and behavior over time (“adaptive” or “resilient”), while others show increasing psychiatric symptoms and go on to develop psychiatric disorders (“vulnerable”). The factors and neurobiological mechanisms that underlie this variability and that prospectively identify those at greatest risk are not yet well understood. This is a critical knowledge gap in the ability to help youth who have experienced early life adversity. Recent research suggests that youth with ELA have abnormal function and connectivity within and between 3 core brain networks which support emotional reactivity and cognitive-emotional control - the salience network (SN), frontoparietal network (FPN), and default mode network (DMN), and changes in these networks are associated with a wide range of psychopathology. To date, however, no study has systematically examined the relative developmental trajectories of these core networks, how they are altered by ELA exposure, and how such alterations relate to the expression of general psychopathology risk and unique dimensions of internalizing vs. externalizing. The proposed study addresses these gaps of knowledge by examining the association between ELA, FPN, DMN, and SN network development, and both overall psychopathological load as well as specific dimensions of psychopathology using data from a large cohort (n=11,873) of adolescents from the Adolescent Brain Cognitive Development (ABCD) study. Demographic, environmental, and behavioral data are acquired every year and neuroimaging data are acquired every 2 years, starting at age 9-10y. This is a critical developmental period, the entrance into puberty, characterized by both a rapid emergence of psychiatric disorders as well as sex differences in the prevalence of internalizing and externalizing disorders. The function and interaction of SN, FPN, and DMN are examined both at rest and during cognitive load to determine the extent to which ELA-related network alterations are modality specific. Data are analyzed using both model-based and data-driven methods. Finally, this research uses both model- based prediction and machine learning to determine potential early predictors of later psychopathology.

项目摘要早期生活逆境（ELA），如身体或性虐待，目睹犯罪，家庭冲突或社区暴力可能会产生长期影响，并显着增加后期精神病理学的风险。经历这样的逆境会导致广泛的精神障碍，这已经被发现是对治疗更有抵抗力。使干预工作进一步复杂化的是，一些接触ELA的青年继续显示正常的功能和行为随着时间的推移（“适应性”或“弹性”），而其他人显示增加精神症状，并继续发展为精神障碍（“脆弱”）。的因素和神经生物学机制是这种变异性的基础，并前瞻性地识别那些风险最大的人。还没有被很好地理解。这是一个关键的知识差距的能力，以帮助青年谁经历了早年的逆境最近的研究表明，患有ELA的青少年有异常的功能和连接在支持情绪反应和认知情绪控制的3个核心大脑网络内部和之间，显着网络（SN）、额顶网络（FPN）和默认模式网络（DMN），以及这些网络与广泛的精神病理学有关。然而，到目前为止，没有任何研究系统地研究了这些核心网络的相对发展轨迹，它们是如何改变的， ELA暴露，以及这种改变如何与一般精神病理学风险的表达相关，内在化与外在化的独特维度。拟议的研究解决了这些知识差距通过研究ELA、FPN、DMN和SN网络发展之间的关系，以及两者之间的总体关系，精神病理学负荷以及精神病理学的特定维度，使用来自大型队列的数据（n= 11，873）来自青少年大脑认知发展（ABCD）研究的青少年。人口统计、环境和行为数据每年采集一次，神经成像数据每2 从9- 10岁开始。这是一个关键的发展时期，进入青春期，其特点是，精神疾病的迅速出现以及内在化流行率的性别差异和外化障碍。SN、FPN和DMN的功能和相互作用在静息和静息状态下均进行了检查，在认知负荷，以确定在何种程度上ELA相关的网络改变是特定的方式。使用基于模型和数据驱动的方法分析数据。最后，本研究采用两种模型- 基于预测和机器学习来确定后期精神病理学的潜在早期预测因素。