Moving to a data informed understanding of cerebrovascular small vessel disease.

通过数据了解脑血管小血管疾病。

• 批准号: 2765783
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2765783
• 关键词: Moving; data; informed; understanding; cerebrovascular

Studentship strategic priority area: E-Health Informatics ResearchKeywords: Big data, cerebrovascular, phenome wide association study, small vessel disease The syndrome of cerebral small vessel disease (cSVD) is arguably one of the most important conditions of our time, contributing to stroke, dementia, and other age-related problems. Despite the importance of cSVD, our understanding of the condition remains limited.This project will explore the physical, psychological, and other manifestations of cSVD, offering new insights into the disease phenotype that will improve assessment, inform diagnosis and shape future research trials.The project will work with large data registries including UK Biobank and Dementia Platforms UK. A primary aim will be to complete a phenome wide association study describing the clinical features seen in people with neuroimaging evidence of small vessel disease. Results will be validated in independent cohorts and placed in the context of existing research. For this PhD, we have designed a program of complementary, interlinked, projects each designed to equip the student with a different research skill and spanning key areas such as neuroimaging, 'big data', evidence synthesis and communication of science. At completion, the student will be equipped with the skills needed to become an independent researcher. The program also provides an opportunity for the student to further develop their knowledge and skills in a particular focused area of their choice, for example neuroimaging or analytics.

学生奖学金战略优先领域：电子健康信息学研究关键词：大数据，脑血管，表型广泛关联研究，小血管疾病脑小血管疾病（cSVD）综合征可以说是我们这个时代最重要的条件之一，有助于中风，痴呆症和其他与年龄有关的问题。尽管cSVD的重要性，我们对这种疾病的了解仍然有限。该项目将探索cSVD的生理，心理和其他表现，为疾病表型提供新的见解，这将改善评估，为诊断提供信息，并塑造未来的研究试验。该项目将与大型数据注册中心合作，包括英国生物银行和英国痴呆平台。主要目的是完成一项表型广泛相关性研究，描述在具有小血管疾病神经影像学证据的人群中观察到的临床特征。结果将在独立的队列中进行验证，并置于现有研究的背景下。对于这个博士学位，我们设计了一个互补的，相互关联的项目计划，每个项目旨在为学生提供不同的研究技能，并跨越关键领域，如神经成像，“大数据”，证据合成和科学传播。完成后，学生将具备成为独立研究人员所需的技能。该计划还为学生提供了一个机会，以进一步发展他们的知识和技能，在他们选择的特定重点领域，例如神经成像或分析。