Multimodal population brain imaging in the UK Biobank prospective epidemiological study

生命银行 神经影像学 医学 模式 人口 队列 疾病 神经科学 神经遗传学 心理学 生物信息学 病理 精神科 生物 环境卫生 社会学 社会科学
作者
Karla L. Miller,Fidel Alfaro‐Almagro,Neal K. Bangerter,David L. Thomas,Essa Yacoub,Junqian Xu,Andreas J. Bartsch,Saâd Jbabdi,Stamatios N. Sotiropoulos,Jesper Andersson,Ludovica Griffanti,Gwenaëlle Douaud,Thomas W. Okell,Peter Weale,Iulius Dragonu,Steve Garratt,Sarah Hudson,Rory Collins,Mark Jenkinson,Paul M. Matthews
出处
期刊:Nature Neuroscience [Springer Nature]
卷期号:19 (11): 1523-1536 被引量:2140
标识
DOI:10.1038/nn.4393
摘要

The UK Biobank combines detailed phenotyping and genotyping with tracking of long-term health outcomes in a large cohort. This study describes the recently launched brain-imaging component that will ultimately scan 100,000 individuals. Results from the first 5,000 subjects are reported, including thousands of associations, population modes and hypothesis-driven results. Medical imaging has enormous potential for early disease prediction, but is impeded by the difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to address this problem directly by acquiring high-quality, consistently acquired imaging data from 100,000 predominantly healthy participants, with health outcomes being tracked over the coming decades. The brain imaging includes structural, diffusion and functional modalities. Along with body and cardiac imaging, genetics, lifestyle measures, biological phenotyping and health records, this imaging is expected to enable discovery of imaging markers of a broad range of diseases at their earliest stages, as well as provide unique insight into disease mechanisms. We describe UK Biobank brain imaging and present results derived from the first 5,000 participants' data release. Although this covers just 5% of the ultimate cohort, it has already yielded a rich range of associations between brain imaging and other measures collected by UK Biobank.
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