RT Journal Article
SR Electronic
T1 Improving data availability for brain image biobanking in healthy subjects: practice-based suggestions from an international multidisciplinary working group
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 110460
DO 10.1101/110460
A1 BRAINS (Brain Imaging in Normal Subjects) Expert Working Group
A1 Susan D Shenkin
A1 Cyril Pernet
A1 Thomas E Nichols
A1 Jean-Baptiste Poline
A1 Paul M. Matthews
A1 Aad van der Lugt
A1 Clare Mackay
A1 Linda Lanyon
A1 Bernard Mazoyer
A1 James P Boardman
A1 Paul M Thompson
A1 Nick Fox
A1 Daniel S Marcus
A1 Aziz Sheikh
A1 Simon R Cox
A1 Devasuda Anblagan
A1 Dominic E Job
A1 David Alexander Dickie
A1 David Rodriguez
A1 Joanna M Wardlaw
YR 2017
UL http://biorxiv.org/content/early/2017/02/27/110460.abstract
AB 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.