The Cognitive Atlas: Developing an Interdisciplinary Knowledge Base Through Socia

认知图谱：通过社交开发跨学科知识库

• 批准号: 7597186
• 负责人: Russell A Poldrack
• 金额: $ 39.63万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7597186
• 关键词: Architecture; Atlases; Behavior; Behavioral; Biological; Biology; Brain; Characteristics; Classification; Cognition; Cognitive; Collaborations; Complex; Computational Biology; Computer software; Consensus; Development; Discipline; Disease; Elements; Foundations; Functional Magnetic Resonance Imaging; Functional disorder; Genes; Imagery; Informatics; Interdisciplinary Communication; Interdisciplinary Study; Knowledge; Link; Maps; Measures; Mediating; Mediator of activation protein; Mental Processes; Mental disorders; Meta-Analysis; Methods; Mind; Molecular Genetics; Neuroanatomy; Neurobiology; Online Systems; Ontology; Patients; Phenotype; Process; Psyche structure; Public Health; Reliance; Research; Resources; Running; Scientist; Structure; Support System; Syndrome; System; Testing; Translations; Work; biomedical resource; cognitive function; cognitive neuroscience; evidence base; flexibility; improved; information organization; insight; knowledge base; neuroimaging; neuropsychiatry; new technology; novel; psychologic; public health relevance; relating to nervous system; social; text searching; tool; wiki

DESCRIPTION (provided by applicant): The proposed research aims to develop a framework for integrating knowledge about brain, mind, and behavior across multiple disciplines, which we refer to as a }cognitive atlas." This framework extends the existing knowledge and software architecture for neuroanatomic atlas development that has been established and is now under major development in the UCLA Center for Computational Biology (CCB). A comprehensive approach to understanding mental illness requires translation between syndrome, cognition, behavior, and biology, but increasing specialization within each of these domains hinders interdisciplinary communication, insights and discoveries. The proposed project aims to bridge these gaps by developing a system for the representation of knowledge about cognitive tasks, cognitive processes, and brain structure. We propose to harness new technologies for collaborative knowledge-building along with automated methods of literature mining, to develop a flexible web-based system that will support the consolidation of distributed knowledge about cognitive phenotypes and allow creation of multi-level interdisciplinary links. This system will provide the foundation for involvement of experts in the formalization of their domain knowledge. The resulting knowledge base will provide an }atlas} that allows the mapping of cognitive phenotypes onto biomedical knowledge at manifold other levels, from genes to complex syndromes. PUBLIC HEALTH RELEVANCE: The proposed research aims to improve public health by enabling interdisciplinary research on mental disease to result in discovery of treatments and preventions that would not otherwise be possible with current approaches. It will extend the work of the National Centers for Biological Computing to develop a knowledge base that relates psychological functions to brain systems. This knowledge base spanning syndromes, cognitive processes, neural systems, and molecular genetics will additionally serve as an evolving and up-to-date educational resource for scientists, practitioners, and patients. The system developed in this project will also enhance biomedical knowledge and discovery more broadly by providing new tools for collaborative knowledge building.

描述（由申请人提供）：拟议的研究旨在建立一个框架，以整合多个学科的大脑，思想和行为知识，我们称这是一个认知地图集。综合征，认知，行为和生物学，但在这些领域中，越来越多的专业化阻碍了跨学科的交流，洞察力和发现，旨在通过为认知任务的知识来代表知识，使我们的知识范围与大脑结构一起发展，从而弥合了这些差距。基于Web的系统将支持有关认知表型的分布式知识的整合，并允许创建多级跨学科链接。该系统将为专家参与其领域知识的形式化奠定基础。所得的知识库将提供一个}地图，该}允许将认知表型映射到其他层次上的生物医学知识上，从基因到复杂的综合症。公共卫生相关性：拟议的研究旨在通过实现精神疾病的跨学科研究来改善公共卫生，从而导致发现治疗和预防措施，而这些治疗和预防措施否则就无法使用当前的方法。它将扩展国家生物计算中心的工作，以建立将心理功能与大脑系统联系起来的知识基础。跨越综合征，认知过程，神经系统和分子遗传学的知识基础将作为科学家，从业者和患者的发展和最新的教育资源。该项目中开发的系统还将通过为协作知识建设提供新的工具来更广泛地增强生物医学知识和发现。