SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Dr David Alexander Dickie

Home page: Go to homepage
Position: Stroke Association Postdoctoral Research Fellow


Structural brain ageing

White matter disease

Cognitive ageing


Image Analysis

Alzheimer's disease and other dementias

Institute: Institute of Cardiovascular and Medical Sciences

Department: SINAPSE: http://www.sinapse.ac.uk/

Key Publications

Lewis, G., Dickie D.A., et al. (In revision). Widespread Associations between Trait Conscientiousness and Regional Cortical Thickness. Neuroimage.

Ritchie, S.J.*/ Dickie, D.A.*, et al. (In revision). Brain structural differences between 73- and 92-year olds matched for social background, childhood intelligence and intracranial volume. Neurobiology of Aging.

Dickie, D.A., et al. (Under review). The Brain Health Index: A combined measure of neurovascular and neurodegenerative injury. European Radiology.

Dickie, D.A., et al. (Accepted). Blood pressure variability and leukoaraiosis in acute ischemic stroke. International Journal of Stroke.

MacPherson, S.E., Cox, S.R., Dickie, D.A., et al. (Accepted). Processing speed and the relationship between Trail Making Test-B performance, cortical thinning and white matter microstructure in older adults. Cortex.

BRAINS Expert Working Group. (2017). Improving data availability for brain image biobanking in healthy subjects: practice-based suggestions from an international multidisciplinary working group. Neuroimage. http://dx.doi.org/10.1016/j.neuroimage.2017.02.030.

Dickie, D.A., et al. (2017). Whole brain magnetic resonance image atlases: a systematic review of existing atlases and caveats for use in population imaging. Frontiers in Neuroinformatics. 10.3389/fninf.2017.00001.

Cox, S.R., Ritchie, S.J., Dickie, D.A., et al. (2017). APOE e4 status and poor glycaemic control predict white matter hyperintensity growth from 73-76 years. Neurobiology of Aging. http://dx.doi.org/10.1016/j.neurobiolaging.2017.02.014.

Luciano, M., …, Dickie, D.A., et al. (2017). Mediterranean-type diet and brain structural change from 73 to 76 years in a Scottish Cohort. Neurology. 10.1212/WNL.0000000000003559.

Danso, S.O., …, Dickie, D.A., et al. (2016). Developing an integrated image bank and metadata for large scale research in cerebrovascular disease: our experience from the Stroke Image Bank Project. Methods, Front. ICT. 10.3389/fict.2016.00032.

Cox, S.R., Dickie, D.A., et al. (2016). Associations between education and brain structure at age 73 years, adjusted for age 11 IQ. Neurology. http:/​/​dx.​doi.​org/​10.​1212/​WNL.​0000000000003247.

Job, D.E., Dickie, D.A., et al. (2016). A brain imaging repository of normal images across the life course: Brain Images of Normal Subjects (BRAINS). Neuroimage. http://dx.doi.org/10.1016/j.neuroimage.2016.01.027.

Dickie, D.A., et al. (2016). Vascular risk factors and progression of white matter hyperintensities in the Lothian Birth Cohort 1936. Neurobiology of Aging. 42. 116–123.

Dickie, D.A., et al. (2016). Progression of white matter disease and cortical thinning are not related in older community-dwelling subjects. Stroke. 47(2). 410-416.

Ritchie, S.J.*/ Dickie, D.A.*, et al. (2015). Brain volumetric changes and cognitive ageing during the eighth decade of life. Human Brain Mapping. 36(12). 4910-4925.

Dickie, D.A., et al. (2015). Permutation and parametric tests for effect sizes in voxel-based morphometry of grey matter volume in brain structural MRI. Magn Reson Imaging. 33(10). 1299-1305.

Dickie, D.A., et al. (2015). Use of brain MRI atlases to determine boundaries of age-related pathology: the importance of statistical method. PLoS ONE. 10(5). e0127939.

Dickie, D.A., et al. (2013). Variance in brain volume with advancing age: implications for defining the limits of normality. PLoS ONE. 8(12). e84093.

Hernández, M.V., …, Dickie, D.A., et al. (2013). Differentiation of Calcified Regions and Iron Deposits in the Ageing Brain on Conventional Structural MR Images. J Magn Reson Imaging. 40(2). 324–333

Dickie, D.A., et al. (2012). Do brain image databanks support understanding of normal ageing brain structure? A systematic review. Eur Radiol. 22(7). 1385–1394. Editorial: Barkhof, F. (2012). Making better use of our brain MRI research data.

Hernández, M.V., …, Dickie, D.A., et al. (2012). Close correlation between quantitative and qualitative assessments of white matter lesions. Neuroepidemiology. 40(1). 13–22.

Dickie, D.A., Boyle, L.N. (2009). Drivers’ Understanding of Adaptive Cruise Control Limitations. Human Factors and Ergonomics. 53(23). 1806–1810.


Ian Deary and team at the Centre for Cognitive Ageing, Edinburgh.

Sherif Karama, Alan Evans at the Montreal Neurological Institute.