BrainMap Tracker: Automated Annotation of Brain Mapping Experiments

描述（由申请人提供）：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，定量元分析方法已被开发并被社区采用，作为组织和综合大规模数据集的手段。荟萃分析允许对疾病和治疗研究中有关认知和皮质功能障碍的各种结果进行评估，并确定最可靠的结果模式。然而，这些程序中最费力的一步是确定适当的文献。目前，研究人员使用来自不同术语的不同关键字手动执行多个PubMed搜索，以捕获他们所寻找的全部研究。认知范式本体（Cognitive Paradigm Ontology, CogPO）创建于2009年，旨在解决大脑映射实验中用于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中心的生物信息学工具，整合CogPO和NCBO注释器，开发和测试一个新的计算资源，BrainMap Tracker，这将使神经成像荟萃分析的候选研究能够自动识别。该工具将允许快速过滤PubMed摘要，以确定哪些范式已被用于研究特定疾病的大脑激活，反之亦然。提出的系统将是一个新的基于网络的资源，为认知和临床神经科学家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，并为新的注释术语提供初步建议，以便更好地对新研究进行分类。

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.