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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, Joanna
(Principal Investigator)
Shenkin, Susan
(Co-investigator)
Deanery of Clinical Sciences
Centre for Clinical Brain Sciences
Edinburgh Neuroscience
Edinburgh Imaging
Deanery of Molecular, Genetic and Population Health Sciences
Small Vessel Disease Research
Overview
Fingerprint
Research output
(2)
Project Details
Status
Finished
Effective start/end date
25/11/14
→
24/11/15
Funding
UK-based charities:
£5,906.00
UK-based charities:
£32,904.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Atlases
Medicine & Life Sciences
100%
Brain
Medicine & Life Sciences
91%
Neuroimaging
Medicine & Life Sciences
84%
Magnetic Resonance Spectroscopy
Medicine & Life Sciences
78%
Pathology
Medicine & Life Sciences
58%
Gray Matter
Medicine & Life Sciences
58%
Alzheimer Disease
Medicine & Life Sciences
27%
Healthy Volunteers
Medicine & Life Sciences
24%
Research output
Research output per year
2015
2015
2016
2016
2
Article
Research output per year
Research output per year
A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS)
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.
,
18 Jan 2016
, (E-pub ahead of print)
In:
NeuroImage.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Neuroimaging
100%
Brain
54%
Healthy Volunteers
29%
Diffusion Tensor Imaging
24%
Blood Pressure
14%
Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method
Dickie, D.
,
Job, D.
,
Rodriguez, D.
,
Shenkin, S.
&
Wardlaw, J.
,
29 May 2015
,
In:
PLoS ONE.
10
,
5
, e0127939.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Atlases
100%
Magnetic Resonance Spectroscopy
78%
Pathology
58%
Gray Matter
58%
Brain
45%