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

学生战略优先领域：电子健康信息学研究关键词：大数据、脑血管、表现组广泛关联研究、小血管疾病脑小血管疾病综合征(CSVD)可以说是我们这个时代最重要的疾病之一，导致中风、痴呆和其他与年龄相关的问题。尽管cSVD很重要，但我们对这种情况的了解仍然有限。这个项目将探索cSVD的生理、心理和其他表现，提供对疾病表型的新见解，这将改善评估，为诊断提供信息，并塑造未来的研究试验。该项目将与包括英国生物库和痴呆症平台在内的大型数据登记机构合作。主要目标将是完成一项表型广泛的相关性研究，描述有小血管疾病神经影像证据的人的临床特征。结果将在独立的队列中得到验证，并置于现有研究的背景下。对于这个博士学位，我们设计了一个相互补充、相互关联的项目，每个项目都旨在让学生掌握不同的研究技能，并跨越关键领域，如神经成像、大数据、证据合成和科学交流。完成后，学生将具备成为一名独立研究人员所需的技能。该项目还为学生提供了在他们选择的特定重点领域进一步发展他们的知识和技能的机会，例如神经成像或分析。

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.