Computational tools for analysing, modelling and visualising the human connectome in health and disease

用于分析、建模和可视化健康和疾病中的人类连接组的计算工具

• 批准号: nhmrc : 1047648
• 负责人: Dr Andrew Zalesky
• 金额: $ 28.18万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Career Development Fellowships
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/computational-tools-analysing-health-disease/111957
• 关键词: Computational; tools; analysing; modelling; visualising

This research will develop cutting-edge computational tools and statistical methods to analyse, model and visualise the way in which the human brain is interconnected. The tools developed will be used to identify biological markers in the brain’s network of axonal circuitry (the connectome) that are valuable for diagnosis and prognosis of psychiatric disorders. This research will bring to fruition the exciting potential of connectomics in neuroscience and psychiatry.

这项研究将开发尖端的计算工具和统计方法来分析、建模和可视化人类大脑相互联系的方式。开发的工具将用于识别大脑轴突回路网络（连接组）中的生物标记物，这些标记物对精神疾病的诊断和预后有价值。这项研究将为神经科学和精神病学带来令人兴奋的连接组学潜力。