Shenkin Susan D, Pernet Cyril, Nichols Thomas E, Poline Jean-Baptiste, Matthews Paul M, van der Lugt Aad, Mackay Clare, Lanyon Linda, Mazoyer Bernard, Boardman James P, Thompson Paul M, Fox Nick, Marcus Daniel S, Sheikh Aziz, Cox Simon R, Anblagan Devasuda, Job Dominic E, Dickie David Alexander, Rodriguez David, Wardlaw Joanna M
Geriatric Medicine, University of Edinburgh, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4SB, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh,UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK.
Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh,UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, UK; Edinburgh Imaging, University of Edinburgh, UK.
Neuroimage. 2017 Jun;153:399-409. doi: 10.1016/j.neuroimage.2017.02.030. Epub 2017 Feb 14.
Brain imaging is now ubiquitous in clinical practice and research. The case for bringing together large amounts of image data from well-characterised healthy subjects and those with a range of common brain diseases across the life course is now compelling. This report follows a meeting of international experts from multiple disciplines, all interested in brain image biobanking. The meeting included neuroimaging experts (clinical and non-clinical), computer scientists, epidemiologists, clinicians, ethicists, and lawyers involved in creating brain image banks. The meeting followed a structured format to discuss current and emerging brain image banks; applications such as atlases; conceptual and statistical problems (e.g. defining 'normality'); legal, ethical and technological issues (e.g. consents, potential for data linkage, data security, harmonisation, data storage and enabling of research data sharing). We summarise the lessons learned from the experiences of a wide range of individual image banks, and provide practical recommendations to enhance creation, use and reuse of neuroimaging data. Our aim is to maximise the benefit of the image data, provided voluntarily by research participants and funded by many organisations, for human health. Our ultimate vision is of a federated network of brain image biobanks accessible for large studies of brain structure and function.
脑成像如今在临床实践和研究中无处不在。汇集来自特征明确的健康受试者以及患有一系列常见脑部疾病的受试者在整个生命历程中的大量图像数据,如今已极具说服力。本报告是在一次由多学科国际专家参加的会议之后撰写的,这些专家均对脑图像生物样本库感兴趣。会议包括神经成像专家(临床和非临床)、计算机科学家、流行病学家、临床医生、伦理学家以及参与创建脑图像库的律师。会议采用结构化形式,讨论了当前和新兴的脑图像库;诸如图谱等应用;概念和统计问题(例如定义“正常”);法律、伦理和技术问题(例如同意书、数据关联潜力、数据安全、协调、数据存储以及促进研究数据共享)。我们总结了从众多单个图像库的经验中汲取的教训,并提供切实可行的建议,以加强神经成像数据的创建、使用和再利用。我们的目标是使由研究参与者自愿提供并由众多组织资助的图像数据对人类健康的益处最大化。我们的最终愿景是建立一个可用于大脑结构和功能大型研究的联合脑图像生物样本库网络。