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

Dominic Job; David Alexander Dickie; David Rodriguez Gonzalez; Andrew Robson; Samuel Danso; Cyril Pernet; Mark Bastin; James P. Boardman; Alison D Murray; Trevor S. Ahearn; Gordon D. Waiter; Roger T. Staff; Ian Deary; Susan D. Shenkin; Joanna Wardlaw

doi:10.1016/j.neuroimage.2016.01.027

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

Dominic Job
, David Alexander Dickie
, David Rodriguez Gonzalez
, Andrew Robson
, Samuel Danso
, Cyril Pernet
, Mark Bastin
, James P. Boardman
, Alison D Murray
, Trevor S. Ahearn
, Gordon D. Waiter
, Roger T. Staff
, Ian Deary
, Susan D. Shenkin
, Joanna Wardlaw

Research output: Contribution to journal › Article › peer-review

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 81 years 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.

Original language	English
Journal	NeuroImage
Early online date	18 Jan 2016
DOIs	https://doi.org/10.1016/j.neuroimage.2016.01.027
Publication status	E-pub ahead of print - 18 Jan 2016

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10.1016/j.neuroimage.2016.01.027

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Brain Imaging in Normal Subjects (BraINS): a searchable living brain image bank to improve brain scan reporting and diagnosis of pathological ageing
Wardlaw, J. (Principal Investigator) & Shenkin, S. (Co-investigator)
UK-based charities
25/11/14 → 24/11/15
Project: Research
SI.2013-0210
Shenkin, S. (Principal Investigator)
Biotechnology and Biological Sciences Research Council
1/03/14 → 31/08/14
Project: Research
RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.
Deary, I. (Principal Investigator), Gale, C. (Co-investigator), Holmes, M. (Co-investigator), Logie, P. (Co-investigator), Maclullich, A. (Co-investigator), Porteous, D. (Co-investigator), Seckl, J. (Co-investigator), Starr, J. (Co-investigator), Wardlaw, J. (Co-investigator) & Okely, J. (Researcher)
1/09/13 → 31/08/19
Project: Research

Reproducibility in imaging
Pernet, C. (Keynote/plenary speaker)
27 May 2016
Activity: Participating in or organising an event types › Participation in workshop, seminar, course

Susan Shenkin
- School of Population Health Sciences - Personal Chair of Healthcare for Older People
- Centre for Population Health Sciences
- Centre for Clinical Brain Sciences
- Edinburgh Neuroscience
- Edinburgh Imaging
- Usher Institute
Person: Academic: Research Active

Cite this

Job, D., Dickie, D. A., Rodriguez Gonzalez, D., Robson, A., Danso, S., Pernet, C., Bastin, M., Boardman, J. P., Murray, A. D., Ahearn, T. S., Waiter, G. D., Staff, R. T., Deary, I., Shenkin, S. D., & Wardlaw, J. (2016). A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS). NeuroImage. Advance online publication. https://doi.org/10.1016/j.neuroimage.2016.01.027

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

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 81 years 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 {\textquoteleft}textual data{\textquoteright}, 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 {\textquoteleft}what is normal{\textquoteright} at different ages.",

author = "Dominic Job and Dickie, \{David Alexander\} and \{Rodriguez Gonzalez\}, David and Andrew Robson and Samuel Danso and Cyril Pernet and Mark Bastin and Boardman, \{James P.\} and Murray, \{Alison D\} and Ahearn, \{Trevor S.\} and Waiter, \{Gordon D.\} and Staff, \{Roger T.\} and Ian Deary and Shenkin, \{Susan D.\} and Joanna Wardlaw",

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doi = "10.1016/j.neuroimage.2016.01.027",

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T1 - A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS)

AU - Job, Dominic

AU - Dickie, David Alexander

AU - Rodriguez Gonzalez, David

AU - Robson, Andrew

AU - Danso, Samuel

AU - Pernet, Cyril

AU - Bastin, Mark

AU - Boardman, James P.

AU - Murray, Alison D

AU - Ahearn, Trevor S.

AU - Waiter, Gordon D.

AU - Staff, Roger T.

AU - Deary, Ian

AU - Shenkin, Susan D.

AU - Wardlaw, Joanna

PY - 2016/1/18

Y1 - 2016/1/18

N2 - 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 81 years 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.

AB - 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 81 years 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.

U2 - 10.1016/j.neuroimage.2016.01.027

DO - 10.1016/j.neuroimage.2016.01.027

M3 - Article

SN - 1053-8119

JO - NeuroImage

JF - NeuroImage

ER -

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

Abstract

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Projects

Brain Imaging in Normal Subjects (BraINS): a searchable living brain image bank to improve brain scan reporting and diagnosis of pathological ageing

SI.2013-0210

RA2661 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2. Main Budget.

Activities

Reproducibility in imaging

Profiles

Susan Shenkin

Cite this