Upcoming Events

ERASMUS Course on MRI: Basic MRI Physics Sep 25, 2017 - Sep 29, 2017 — Ninewells Hospital Medical School, Dundee
7th SINAPSE-SANON Meeting Sep 28, 2017 09:30 AM - 04:00 PM — Wellcome Rooms, Royal Society of Edinburgh, 22-26 George Street, Edinburgh
ECCOMAS VipIMAGE 2017 Oct 18, 2017 - Oct 20, 2017 — Porto, Portugal
ESMRMB 2017 Congress Oct 19, 2017 - Oct 21, 2017 — Fira de Barcelona, Barcelona, Spain
NRS Mental Health Network Annual Scientific Meeting Oct 25, 2017 09:00 AM - 05:00 PM — Teaching & Learning Centre, Queen Elizabeth University Hospital Glasgow

Dr David Alexander Dickie

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Position: Research Associate in Brian Imaging (Structural Methods)

Interests:

Structural brain ageing

White matter disease

Cognitive ageing

Stroke

Image Analysis

Alzheimer's disease and other dementias

Institute: Brain Research Imaging Centre, The University of Edinburgh

Department: SINAPSE: http://www.sinapse.ac.uk/ SFC Brain Imaging Research Centre: http://www.sbirc.ed.ac.uk/index.html


Key Publications

Dickie, D.A., et al. (Under review). White matter hyperintensity growth and cortex thinning are not directly related.

Dickie, D.A., et al. (Under review). Vascular risk factors and progression of white matter hyperintensities.

Job, D.E., Dickie, D.A., et al. (Under review). A brain imaging repository of normal images across the life course: Brain Images of Normal Subjects (BRAINS).

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

Dickie, D.A., et al. (In Press). Permutation and parametric tests for effect sizes in voxel-based morphometry of grey matter volume in brain structural MRI. Magn Reson Imaging. DOI: http://dx.doi.org/10.1016/j.mri.2015.07.014.

Dickie, D. A., et al. (2015). Sample size estimates for modifiers of white matter hyperintensities in ageing and stroke. International Journal of Stroke. 10(S2), 329.

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. (2014). How normal is this brain? A new nonparametric voxel-based method of comparing brain scans to age-appropriate reference templates. Age and Ageing. 43 (suppl 1), i32.

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.


Collaborators

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

Sherif Karama, Alan Evans at the Montreal Neurological Institute.