A Knowledge Environment for Neuroimaging in Child Psychiatry

描述(申请人提供)：许多精神疾病会困扰儿童的发展。这些疾病中的每一种都表现为临床、行为、病因、神经解剖学和神经功能特征的不同模式，这些特征对个体患者的管理以及成功的干预和预防策略的发展提出了挑战。在神经成像领域，已经开展了大量研究；虽然每一项研究都产生了丰富的临床和成像数据，但由于没有有效地利用数据共享和整合的原则，这些信息中的大多数仍然是一种未开发的资源。这项提议寻求开发一套有凝聚力的神经信息学资源，以促进在精神疾病儿童研究中的综合研究努力。这项工作旨在利用剑桥健康联盟(CHA)儿童和青少年神经精神病学研究计划(CANRP)与麻省理工学院形态计量分析中心(CMA)联合生成的超过250个高分辨率体积MRI数据和相关分析的广泛数据库，以及互联网脑分段存储库(IBSR)和互联网脑体积数据库(IBVD)的整合网络资源。因此，这将构成第一个已知的“知识环境”，用于综合理解这群患有精神障碍的儿童的定量神经解剖学。公共卫生相关性：许多精神疾病可能会困扰儿童的发展。这些疾病中的每一种都表现为一种独特的临床、行为和神经解剖学特征，对个体患者的管理以及成功的干预和预防策略的发展提出了挑战。该项目将开发一套有凝聚力的神经信息学资源，有助于整合研究努力，促进这些疾病的诊断和治疗。

DESCRIPTION (provided by applicant): Numerous psychiatric disorders can plague the development of children. Each of these disorders manifests as a distinct pattern of clinical, behavioral, etiological, neuroanatomic, and neurofunctional characteristics that challenge the management of the individual patient, as well as the development of successful intervention and prevention strategies. In the area of neuroimaging, a substantial number of studies have been performed; while each study produces a wealth a clinical and imaging data, most of this information remains an untapped resource due to ineffective use of the principles of data sharing and integration. This proposal seeks to develop a set of cohesive neuroinformatics resources to foster integrated research efforts in the study of children with mental illness. This effort is designed to capitalize on the extensive database of over 250 high-resolution volumetric MRI data and associated analyses that has been generated by the Child and Adolescent Neuropsychiatric Research Program (CANRP) at Cambridge Health Alliance (CHA), in conjunction with the Center for Morphometric Analysis (CMA) at the MGH, and the integrated web resources of the Internet Brain Segmentation Repository (IBSR) and the Internet Brain Volume Database (IBVD). As such, this will constitute the first known "Knowledge Environment" for the integrated understanding of the quantitative neuroanatomy in this population of children with psychiatric disorders. PUBLIC HEALTH RELEVANCE: Numerous psychiatric disorders can plague the development of children. Each of these disorders manifests as a distinct pattern of clinical, behavioral, and neuroanatomic traits that challenge the management of the individual patient, as well as the development of successful intervention and prevention strategies. This project will develop a set of cohesive neuroinformatics resources that will help to integrate research efforts to advance the diagnosis and treatment of these disorders.