Adolescent Brain Bases of Intergenerational Risk for Depression

青少年抑郁症代际风险的大脑基础

• 批准号: 9396635
• 负责人: Nicholas Hubbard
• 金额: $ 5.63万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-02 至 2020-08-01
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9396635
• 关键词: Address; Adolescence; Adolescent; Affective; Age; Amygdaloid structure; Base of the Brain; Behavioral; Behavioral Assay; Biological; Brain; Child; Clinical; Clinical assessments; Depressed mood; Deterioration; Development; Diffusion Magnetic Resonance Imaging; Dyslexia; Early Intervention; Enrollment; Facial Expression; Feeling; Functional Magnetic Resonance Imaging; Goals; Grant; Imaging Techniques; Knowledge; Machine Learning; Magnetic Resonance Imaging; Major Depressive Disorder; Measures; Mental Depression; Mental disorders; Modeling; Moods; National Institute of Mental Health; Parents; Prevention; Psychiatric Diagnosis; Psychopathology; Questionnaires; Recording of previous events; Recruitment Activity; Research; Research Personnel; Risk; Scanning; Social Anxiety Disorder; Structure; Substance abuse problem; Techniques; Time; Training; Validation; Work; brain volume; career; child depression; clinical Diagnosis; depressive symptoms; follow-up; intergenerational; learning strategy; multimodality; neurodevelopment; neuroimaging; relating to nervous system; sex; social; trait; white matter

Project Summary Adolescence is a critical time for understanding Major Depressive Disorder (MDD) because nearly half of lifetime diagnoses of psychiatric disorders begin by age 14. Further, intergenerational risk for depression (RISK; having a parent with MDD) increases adolescent likelihood of developing MDD by three- to five-fold. The goal of this research is to understand adolescent neural factors associated with RISK and to characterize the neurodevelopmental path of RISK adolescents. The proposed research adds to an ongoing NIMH grant (U01MH108168) that compares brain function and structure between adolescents (ages 14-15) with MDD and adolescents without MDD/intergenerational risk for MDD (CON). I propose to add a new group of adolescents who are at intergenerational risk for depression (RISK) to address the following aims. First, I aim to dissociate functional and structural neural differences between risk (traits) and clinical diagnosis (state) of adolescent MDD. I will recruit and characterize 120 age- and sex-matched adolescents (ages 14-15): 40 adolescents at RISK for depression but without a personal history of MDD (RISK), 40 adolescents without RISK and no history of MDD (CON), and 40 adolescents with current MDD. I will perform (a) functional magnetic resonance imaging (fMRI), (b) structural MRI (sMRI), and (c) diffusion MRI (dMRI). Second, I aim to discover neurodevelopmental differences associated with RISK. I will re-characterize and re-scan RISK and CON adolescents two years after initial scanning. I will assess differences in functional and structural neurodevelopment between RISK and CON adolescents over this two-year period. I will also assess the extent to which RISK-associated neurodevelopmental changes in brain function and structure are related to development of depressive symptoms. Third, I aim to discover whether multimodal baseline measures predict progression of depressive symptoms in RISK adolescents. All 120 adolescents will undergo extensive clinical and neural characterization at study enrollment, and will undergo follow-up clinical examinations every six months for two years post- enrollment. I will determine whether behavioral and/or brain measures at enrollment predict the subsequent progression of depressive symptoms over this two-year period. The proposed research would be the first to: 1) dissociate functional and structural brain differences between RISK, MDD, and CON adolescents, 2) determine neurodevelopmental changes in RISK compared to CON adolescents, and 3) provide precise biological prediction of the development of depressive symptomology in at-risk adolescents. Knowledge gained from this study will provide a new understanding of the neural underpinning of both risk and developed depression in adolescence, as well as provide valuable contribution toward early prevention of MDD.

项目摘要 青春期是理解重度抑郁症（MDD）的关键时刻，因为将近一半 精神疾病的诊断从14岁开始。此外，抑郁症的代际风险（风险； 具有MDD的父母将MDD发展的可能性增加了三到五倍。目标的目标 研究是了解与风险相关的青少年神经因素，并表征 风险青少年的神经发育道路。拟议的研究增加了正在进行的NIMH赠款 （U01MH108168）将青少年（14-15岁）之间的脑功能和结构与MDD和MDD和 没有MDD/代际风险的青少年（con）。我建议添加一个新的青少年组 抑郁症（风险）面临以下目标的代际风险。首先，我的目标是解离 青少年MDD的风险（特征）和临床诊断（状态）之间的功能和结构神经差异。 我将招募和特征120岁和性别匹配的青少年（14-15岁）：40名有风险的青少年 抑郁症但没有MDD的个人历史（风险），有40名没有风险的青少年，没有MDD病史 （CON）和40名具有当前MDD的青少年。我将执行（a）功能磁共振成像（fMRI）， （b）结构MRI（SMRI）和（c）扩散MRI（DMRI）。第二，我的目标是发现神经发育 与风险相关的差异。两年后 最初的扫描。我将评估风险与CON之间的功能和结构神经发育的差异 这两年的青少年。我还将评估与风险相关的程度 脑功能和结构的神经发育变化与抑郁的发展有关 症状。第三，我的目的是发现多模式基线测量是否预测了抑郁的进展 风险青少年的症状。所有120名青少年将经历广泛的临床和神经表征 在研究入学时 注册。我将确定在入学人数时的行为和/或大脑测量是否预测随后的 在这两年中的抑郁症状进展。拟议的研究将是第一个：1） 分离风险，MDD和CON青少年之间的功能和结构性大脑差异，2）确定 与CON青少年相比，风险的神经发育变化，3）提供精确的生物学 预测高危青少年抑郁症状。从中获得的知识 研究将对风险和发展的抑郁症的神经基础提供新的了解 青春期，并为早期预防MDD做出了宝贵的贡献。