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Neuroimage. 2017 Jan;144(Pt B):299-304. doi: 10.1016/j.neuroimage.2016.01.027. Epub 2016 Jan 18.

A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS).

Author information

1
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom; Scottish Imaging Network, 15 Redburn Avenue, Giffnock, Glasgow G46 6RH, United Kingdom. Electronic address: dominic.job@ed.ac.uk.
2
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom; Scottish Imaging Network, 15 Redburn Avenue, Giffnock, Glasgow G46 6RH, United Kingdom.
3
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom.
4
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom; MRC Centre for Reproductive Health, University of Edinburgh, United Kingdom.
5
Aberdeen Biomedical Imaging Centre, Lilian Sutton Building, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, United Kingdom.
6
Medical Physics, Aberdeen Royal Infirmary, Foresterhill, Aberdeen AB25 2ZN, United Kingdom.
7
Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, United Kingdom.
8
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom; Scottish Imaging Network, 15 Redburn Avenue, Giffnock, Glasgow G46 6RH, United Kingdom; Geriatric Medicine Unit, University of Edinburgh, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh EH16 4TJ, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, United Kingdom.
9
Brain Research Imaging Centre (BRIC), & Centre for Clinical Brain Sciences (CCBS), The University of Edinburgh, Division of Clinical Neurosciences, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, United Kingdom; Scottish Imaging Network, 15 Redburn Avenue, Giffnock, Glasgow G46 6RH, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, United Kingdom.

Abstract

The Brain Images of Normal Subjects (BRAINS) Imagebank (http://www.brainsimagebank.ac.uk) is an integrated repository project hosted by the University of Edinburgh and sponsored by the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) collaborators. BRAINS provide sharing and archiving of detailed normal human brain imaging and relevant phenotypic data already collected in studies of healthy volunteers across the life-course. It particularly focusses on the extremes of age (currently older age, and in future perinatal) where variability is largest, and which are under-represented in existing databanks. BRAINS is a living imagebank where new data will be added when available. Currently BRAINS contains data from 808 healthy volunteers, from 15 to 81years of age, from 7 projects in 3 centres. Additional completed and ongoing studies of normal individuals from 1st to 10th decades are in preparation and will be included as they become available. BRAINS holds several MRI structural sequences, including T1, T2, T2* and fluid attenuated inversion recovery (FLAIR), available in DICOM (http://dicom.nema.org/); in future Diffusion Tensor Imaging (DTI) will be added where available. Images are linked to a wide range of 'textual data', such as age, medical history, physiological measures (e.g. blood pressure), medication use, cognitive ability, and perinatal information for pre/post-natal subjects. The imagebank can be searched to include or exclude ranges of these variables to create better estimates of 'what is normal' at different ages.

KEYWORDS:

Brain imaging; Database; Federated repository; MRI; Normal ageing

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