BrainMap Tracker: Automated Annotation of Brain Mapping Experiments

BrainMap Tracker：脑图实验的自动注释

• 批准号: 8517433
• 负责人: Angela R Laird
• 金额: $ 62.72万
• 依托单位: THE MIND RESEARCH NETWORK
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-07 至 2014-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8517433
• 关键词: Address; Adopted; Algorithms; Archives; Autistic Disorder; Automated Annotation; Behavioral; Bioinformatics; Bipolar Disorder; Brain; Brain Mapping; Categories; Characteristics; Classification; Clinical; Cognitive; Collaborations; Communities; Data; Data Set; Databases; Diagnostic; Disease; Emotional; Experimental Designs; Foxes; Functional disorder; Generations; Goals; Gold; Grouping; Health; Image; Imagery; Informatics; Learning; Link; Literature; Location; Manuals; Mental Depression; Mental disorders; Meta-Analysis; Methods; Online Systems; Ontology; Paper; Pattern; Performance; Procedures; Process; PubMed; Publishing; Recommendation; Research; Research Methodology; Research Personnel; Resources; Retrieval; Schizophrenia; Semantics; Solutions; Structure; System; Taxonomy; Terminology; Testing; Text; Validation; Vocabulary; abstracting; base; biomedical ontology; candidate identification; computing resources; design; driving force; improved; indexing; interest; neuroimaging; neuropsychiatry; novel; relating to nervous system; repository; research study; text searching; tool; trend; web interface

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.

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，并已导致产生大量数据。因此，定量荟萃分析方法已被开发和采用的社区作为一种手段，组织和综合大规模的数据集。荟萃分析允许对疾病和治疗研究中关于认知和皮质功能障碍的不同结果进行评估，并确定最可靠的结果模式。然而，这些程序中劳动力最密集的步骤是识别适当的文献。目前，研究人员使用替代术语中的不同关键词手动执行多个PubMed搜索，以捕获他们所寻求的全部研究。认知范式本体（Cognitive Paradigm Ontology，CogPO）创建于2009年，旨在解决用于描述大脑映射实验中的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来整合CogPO和NCBO注释器，以开发和测试一种新的计算资源BrainMap Tracker，该资源将能够自动识别神经成像荟萃分析的候选研究。该工具将允许快速过滤PubMed摘要，以确定已用于研究给定疾病的大脑激活的范例，反之亦然。拟议的系统将是一个新的基于网络的资源，认知和临床神经科学家提供连贯的研究分组适合荟萃分析。BrainMap Tracker将缓解不完整的神经成像元分析的问题，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。