TY - JOUR
T1 - Improving data availability for brain image biobanking in healthy subjects
T2 - Practice-based suggestions from an international multidisciplinary working group
AU - BRAINS (Brain Imaging in Normal Subjects) Expert Working Group
AU - Shenkin, Susan D.
AU - Pernet, Cyril
AU - Nichols, Thomas E.
AU - Poline, Jean Baptiste
AU - Matthews, Paul M.
AU - van der Lugt, Aad
AU - Mackay, Clare
AU - Lanyon, Linda
AU - Mazoyer, Bernard
AU - Boardman, James P.
AU - Thompson, Paul M.
AU - Fox, Nick
AU - Marcus, Daniel S.
AU - Sheikh, Aziz
AU - Cox, Simon R.
AU - Anblagan, Devasuda
AU - Job, Dominic E.
AU - Dickie, David Alexander
AU - Rodriguez, David
AU - Wardlaw, Joanna M.
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/6
Y1 - 2017/6
N2 - 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.
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.
KW - Brain image biobank
KW - Data sharing
KW - Neuroimaging
UR - http://www.scopus.com/inward/record.url?scp=85014103755&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2017.02.030
DO - 10.1016/j.neuroimage.2017.02.030
M3 - Comment/debate
C2 - 28232121
AN - SCOPUS:85014103755
SN - 1053-8119
VL - 153
SP - 399
EP - 409
JO - NeuroImage
JF - NeuroImage
ER -