Longitudinal Imaging Study of ADHD Brain Development

描述（由申请人提供）：ADHD是一个具有严重长期后果的重大公共卫生问题。现有的治疗方法不能实现长期的改变，这增加了发现生物标志物、异质性的生物学基础和作用的发育特异性的紧迫性。提出的项目将在纵向设计中测试ADHD大脑网络异常发育组织的重点理论。它还将寻求基于大脑网络来识别多动症的亚型。将使用两种最新一代方法：扩散张量成像（DTI）和功能连接MRI （fcMRI）。这些方法的使用直接符合美国国立卫生研究院人类连接组指南，因此数据集也将作为最终创建儿童连接组的资源。共有490名7-10岁的儿童将在数据丢失之前被招募到磨损和运动伪影。他们将每年分三次跟进，产生一个基于年龄的加速纵向设计，涵盖7-12岁。70%的样本将患有多动症（所有亚型），30%将是典型的发展对比青年。强调以社区为基础的招募，以便获得一些治疗。将跟踪临床变化、治疗使用和社会心理调节因子。选定的认知测量将用于交叉验证临床发现，并确定关于脑回路的机制假设是否在认知分析水平上成立。该项目的主要创新是：(a)将ADHD作为一个动态实体而不是静态现象进行评估，(b)首次对ADHD的功能连通性或DTI进行纵向研究，(c)结合ADHD的功能和结构连通性测量，(d)引入图论的复杂使用，以便基于大脑网络确定ADHD的生物学亚型。主要的意义在于，它将使ADHD的大脑网络的新发现能够在描述责任的神经生物学标记（那些无论症状改变都持续存在的标记）和疾病过程的标记（那些对表型变化非常敏感或预测结果或治疗反应的标记）方面取得重大进展。这些数据可以为新的评估模式、个性化治疗和治疗监测提供信息。如果这个项目成功了，它将代表着利用大脑发育的最新见解，在绘制ADHD机制的综合、范例模型方面向前迈出了重要的一步。

DESCRIPTION (provided by applicant): ADHD is a major public health problem with severe long term outcomes. Existing treatments do not achieve long term change, which has increased the urgency of discovering biomarkers, biological bases of heterogeneity, and developmental specificity of effects. The proposed project would test focused theories of aberrant developmental organization of brain networks in ADHD in a longitudinal design. It would also seek to identify subtypes of ADHD based on brain networks. Two latest-generation methods will be utilized: Diffusion tensor imaging (DTI) and functional connectivity MRI (fcMRI). Use of these methods is directly in line with the NIH Human Connectome guidelines, so the data set will also serve as a resource in the eventual creation of a child connectome. A total of 490 children age 7-10 would be enrolled prior to data loss to attrition and motion artifact. They will be followed annually in three waves, yielding an age based accelerated longitudinal design spanning ages 7-12 years. 70% of the sample will have ADHD (all subtypes) and 30% will be typically developing comparison youth. Community- based recruitment is emphasized so that some treatment naove scans will be obtained. Clinical change, treatment use, and psychosocial moderators will be tracked. Selected cognitive measures will be used to cross validate clinical findings and determine whether mechanistic suppositions about brain circuits hold at the cognitive level of analysis. The major innovations in this project are: (a) evaluates ADHD as a dynamic entity rather than a static phenomenon, (b) the first longitudinal study of functional connectivity or DTI in ADHD, (c) combines functional and structural connectivity measures in ADHD, (d) introduces sophisticated usage of graph theory in order to determine biological subtypes of ADHD based on brain networks. The major significance is that it will enable new discoveries about brain networks in ADHD that can enable significant advances in describing neurobiological markers of liability (those that persist regardless of symptom change) and markers of course of illness (those that are acutely sensitive to phenotypic change or predict outcome or treatment response). Those data can inform new models of assessment, individualized treatments, and treatment monitoring. If the project is successful it will represent an important step forward in mapping integrative, paradigmatic models of ADHD mechanism using the newest insights about brain development.