Brazilian-American Initiative on Neuroimaging for Identifying Depression Early in Adolescence (BRAIN-IDEA)

巴西-美国青少年早期抑郁症神经影像学倡议 (BRAIN-IDEA)

基本信息

批准号：
10053279
负责人：
Christian Kieling
金额：
$ 34.61万
依托单位：
UNIVERSITY OF CALIFORNIA AT DAVIS
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-08-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10053279
关键词：
Address Adolescence Adolescent African Age American Anhedonia Anthropology Automobile Driving Back Behavior Behavioral Brain Brazil Cause of Death Classification Clinical Country Development Dimensions Epidemiology Female Foundations Goals Income Knowledge Measures Mental Depression Mental disorders National Institute of Mental Health Neurosciences Neurosciences Research Participant Pattern Plant Roots Population Heterogeneity Positioning Attribute Postdoctoral Fellow Prevention Prevention strategy Psychiatrist Psychiatry Research Research Domain Criteria Research Personnel Research Training Resources Rewards Risk Risk Factors Risk stratification Sampling Severities Suicide Symptoms Testing Thinking Training Training Programs Work Youth associated symptom base career child depression clinical biomarkers depressive symptoms design disability doctoral student effective intervention follow-up functional MRI scan graduate student high risk high risk population low and middle-income countries negative affect neural network neurodevelopment neuroimaging neuromechanism personalized intervention predictive test prospective psychosocial recruit reward processing sociodemographic variables tool uptake

项目摘要

PROJECT SUMMARY/ABSTRACT Depression is a leading cause of disability in adolescents worldwide and is a major risk factor for suicide. Ninety percent of the world’s adolescents live in low- and middle-income countries (LMIC), yet the majority of research on adolescent depression has been conducted in high-income countries (HIC). This leaves a significant gap in our knowledge of the psychosocial predictors and neurodevelopmental mechanisms of adolescent depression in low resource settings. Our team, an established global interdisciplinary consortium: Identifying Depression Early in Adolescence (IDEA), is uniquely positioned to successfully conduct large scale longitudinal research in LMIC settings to address these gaps. The long-term goal of the research team is to develop a cross-culturally valid risk calculator for depression that could identify adolescents at high risk for depression to guide research, prevention, and treatment based on knowledge of the neural networks driving depression risk. The objective for this R21 is to test the predictive utility of a risk calculator for depression in a middle-income country and determine whether this risk calculator predicts altered neural development within hypothesized neural networks. In addition, the team will build capacity for adolescent neuroscience research in LMIC. The IDEA research consortium has generated a composite risk score for the development of depression using sociodemographic variables collected directly from the adolescent. Using this risk score, the team recruited a baseline sample of 150 adolescents (ages 14 to 16 years, 50% female, 44% African descent) in Porto Alegre, Brazil, who were classified into one of three groups at baseline: 50 “high-risk” participants without current or prior depression, 50 “low-risk” participants without current or prior depression, and 50 participants with current untreated depression. During their baseline assessment, participants completed an fMRI scan with tasks that elicited threat and reward network activity and completed measures of depression symptoms. For this R21, they will be invited back 3 years after the baseline assessment to complete the same measures. The research team will complete three specific aims. First, the team will test whether risk group classification at baseline predicts changes in depression symptom severity three years later, and whether altered development of the threat and reward brain networks explains this association. Second, in line with the Research Domain Criteria (RDoC) framework, the team will examine whether changes in the threat and reward networks predict behaviors and depression symptoms associated with negative affect and anhedonia, respectively. Third, the research team will build capacity in Brazil to conduct interdisciplinary neuroscience research through a constellation of training programs. This research will advance NIMH Strategic Objective 2 by characterizing developmental trajectories of brain function associated with the development of depression and identifying clinically useful biomarkers and behavioral indicators that predict risk for depression during adolescence.

项目概要/摘要抑郁症是全世界青少年残疾的主要原因，也是自杀的主要危险因素。世界上 10% 的青少年生活在低收入和中等收入国家 (LMIC)，但大多数研究高收入国家（HIC）已经开展了关于青少年抑郁症的研究，这留下了巨大的差距。我们对青少年抑郁症的社会心理预测因素和神经发育机制的了解我们的团队是一个成熟的全球跨学科联盟：识别抑郁症青春期早期 (IDEA) 具有独特的优势，能够成功开展大规模纵向研究中低收入国家的设置旨在解决这些差距研究团队的长期目标是开发跨文化的。有效的抑郁症风险计算器可以识别抑郁症高风险青少年以指导研究，基于神经网络驱动抑郁风险的知识进行预防和治疗。该 R21 旨在测试中等收入国家抑郁症风险计算器的预测效用，并确定该风险计算器是否可以预测进化神经网络中神经发育的改变。该团队将建设中低收入国家青少年神经科学研究的能力。使用收集的社会人口统计学变量生成抑郁症发展的综合风险评分该团队直接从青少年中招募了 150 名青少年的基线样本。（年龄 14 至 16 岁，50% 女性，44% 非洲裔），巴西阿雷格里港，他们被分为以下之一：基线时分为三组：50 名当前或既往没有抑郁症的“高风险”参与者，50 名“低风险”参与者当前或之前没有抑郁症的参与者，以及 50 名在基线期间当前患有抑郁症但未接受治疗的参与者。评估，完成功能磁共振成像扫描，其中包含引发威胁和奖励网络活动的任务，以及对于此 R21，他们将在基线后 3 年后被邀请回来。评估完成同样的措施，研究小组将完成三个具体目标。团队将测试基线时的风险组分类是否可以预测抑郁症状严重程度的变化三年后，威胁和奖励大脑网络的发展是否可以解释这一点其次，根据研究领域标准（RDoC）框架，团队将进行审查。威胁和奖励网络的变化是否可以预测与相关的行为和抑郁症状第三，研究小组将分别在巴西进行能力建设。这项研究将通过一系列培训项目推进跨学科神经科学研究。 NIMH 战略目标 2 通过描述与抑郁症的发展并确定预测风险的临床有用的生物标志物和行为指标用于青春期抑郁症。