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。在成功开发CANDIShare项目和门户网站之后，这项提案力求扩大数据网络，增强门户网站功能，并着手开展一项研究计划，突出这些综合数据资源的效用，以解决儿童精神病学领域的具体问题。这一社会、技术和生物学研究计划的成功执行将通过为所有研究人员提供更多的方法来推动该领域的发展，以履行他们参与开放的、可再生的科学的义务。因此，这促进了更大胆的“发现模式”数据询问，旨在捕捉丰富的神经成像数据图景，并为未来对治疗干预的诊断、预测和监测的研究提供更好的定向假设。

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. Following upon the successful development of the CANDIShare project and portal, this proposal seeks to extend the data network, enhance the portal functions and embark on a research plan that highlights the utility of these combined data resources to solve specific problems in the child psychiatry domain. Successful execution of this program of social, technical and biological study will move the field forward by providing additional methods for all investigators to fulfill their NIH obligation to participate in open, reproducible science. As such this fosters a bolder 'discovery- mode' data interrogation designed to capture the richness of the neuroimaging data landscape and provide better directed hypotheses for future study into diagnosis, prediction, monitoring of therapeutic intervention.