Improving data availability for brain image biobanking in healthy subjects: practice-based suggestions from an international multidisciplinary working group

Shenkin, S. D. et al. (2017) Improving data availability for brain image biobanking in healthy subjects: practice-based suggestions from an international multidisciplinary working group. NeuroImage, 153, pp. 399-409. (doi: 10.1016/j.neuroimage.2017.02.030) (PMID:28232121) (PMCID:PMC5798604)

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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.

Item Type:Articles
Additional Information:Thanks to Guarantors of Brain, British Geriatrics Society (Scottish Branch), Royal Society of Edinburgh, SINAPSE (Scottish Imaging Network: a Platform for Scientific Excellence) SPIRIT, International Neuroinformatics Coordinating Facility and Nuffield Foundation for contributions towards funding the meeting which formed the basis of this paper. TEN is supported by the Wellcome Trust (100309/Z/12/Z).
Glasgow Author(s) Enlighten ID:Dickie, Dr David Alexander
Authors: Shenkin, S. D., Pernet, C., Nichols, T. E., Poline, J.-B., Matthews, P. M., van der Lugt, A., Mackay, C., Lanyon, L., Mazoyer, B., Boardman, J. P., Thompson, P. M., Fox, N., Marcus, D. S., Sheikh, A., Cox, S. R., Anblagan, D., Job, D. E., Dickie, D. A., Rodriguez, D., and Wardlaw, J. M.
College/School:College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
Journal Name:NeuroImage
ISSN (Online):1095-9572
Published Online:14 February 2017
Copyright Holders:Copyright © 2017 Elsevier Inc.
First Published:First published in NeuroImage 153:399-409
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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