BrainMap Tracker: Automated Annotation of Brain Mapping Experiments

描述(申请人提供)：认知神经成像方法被认为是研究健康和疾病的神经相关性的强大研究工具，并导致了大量数据的产生。因此，定量的荟萃分析方法已经被社区开发和采用，作为组织和综合大规模数据集的一种手段。Meta分析允许评估关于疾病和治疗研究中认知和皮质功能障碍的不同结果，并确定最可靠的结果模式。然而，这些步骤中最费力的一步是识别适当的文献。目前，研究人员手动执行多个PubMed搜索，使用来自不同术语的不同关键字来捕获他们所寻求的研究的全部。认知范式本体(CogPO)创建于2009年，目的是解决大脑图谱实验中描述行为任务或范式的非标准词汇。在这里，我们建议利用国家生物医学本体论中心的生物信息学工具来集成CogPO和NCBO注释器，以开发和测试新的计算资源BrainMap Tracker，该资源将能够自动识别神经成像Meta分析的候选研究。这一工具将允许对PubMed摘要进行快速过滤，以确定使用了什么范式来研究特定疾病的大脑激活，或者反之亦然。建议的系统将为认知和临床神经科学家提供一个新的基于网络的资源，以提供适合荟萃分析的连贯研究分组。BrainMap Tracker将缓解神经成像元分析不完整的问题，通过语义注释为大规模文本挖掘和数据可视化工作提供额外的信息学支持，并为新研究的更好分类提供新注释术语的初步建议。

DESCRIPTION (provided by applicant): Cognitive neuroimaging methods are well regarded as powerful research tools for studying the neural correlates of both health and disease, and have led to the generation of enormous amounts of data. As a result, quantitative meta-analysis methods have been developed and adopted by the community as a means to organize and synthesize large-scale data sets. Meta-analyses allow diverse results regarding cognitive and cortical dysfunction in disease and treatment studies to be assessed, and the most reliable patterns of results to be determined. However, the most labor-intensive step of these procedures is identification of the appropriate literature. Currently, researchers manually execute multiple PubMed searches utilizing different keywords from alternate terminologies to capture the entirety of the studies they seek. The Cognitive Paradigm Ontology (CogPO) was created in 2009 to address the non-standard vocabulary that exists for describing behavioral tasks or paradigms in brain mapping experiments. Here, we propose to leverage the National Center for Biomedical Ontologies' bioinformatics tools to integrate CogPO and the NCBO Annotator, to develop and test a new computational resource, BrainMap Tracker, that will enable automatic identification of candidate studies for neuroimaging meta-analyses. This tool will allow rapid filtering of PubMed abstracts to identify what paradigms have been utilized to study brain activations for a given disease, or vice versa. The proposed system will be a novel web-based resource for cognitive and clinical neuroscientists to provide coherent groupings of studies suitable for meta-analysis. BrainMap Tracker will alleviate the problem of incomplete neuroimaging meta-analyses, provide additional informatics support through semantic annotations for large scale text-mining and data visualization efforts, and offer initial recommendations for new annotation terms for better categorization of new studies.