Dr Fergus Doubal
Honorary Senior Lecturer & Consultant Stroke Physician
Research summary
Dementia and some type of strokes are caused by disease of the small blood vessels in the brain but the exact nature of this disease is unknown. We use new scanning techniques of the brain (MRI) and the back of the eye (retinal photography) to work out what happens to these blood vessels to cause dementia and stroke. By doing this we will be able to find new treatments to try to prevent both diseases.
Research aims and interests
- Understanding the pathophysiology of cerebral small vessel disease causing stroke and dementia
- Developing novel markers to predict dementia and stroke
- Developing surrogate markers to use in trials of cerebral small vessel disease
- Using advanced neuroimaging – MRI and retinal photography to delineate the pathophysiology of cerebral small vessel disease
-
Are neuropsychiatric symptoms a marker of small vessel disease progression in older adults? Evidence from the Lothian Birth Cohort 1936
In:
International Journal of Geriatric Psychiatry
DOI: https://doi.org/10.1002/gps.5855
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease
In:
Journal of Cerebral Blood Flow and Metabolism
DOI: https://doi.org/10.1177/0271678X221135658
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Cilostazol and isosorbide mononitrate for the prevention of progression of : baseline data and statistical analysis plan for the Lacunar Intervention Trial-2 (LACI-2) (ISRCTN14911850)
In:
Stroke and Vascular Neurology, pp. svn-2022-001816
DOI: https://doi.org/10.1136/svn-2022-001816
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Associations of Peak-Width Skeletonized Mean Diffusivity and Post-Stroke Cognition
In:
Life, vol. 12, pp. 1362
DOI: https://doi.org/10.3390/life12091362
Research output: Contribution to Journal › Article (Published) -
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols
In:
Frontiers in Computational Neuroscience, vol. 16
DOI: https://doi.org/10.3389/fncom.2022.887633
Research output: Contribution to Journal › Article (E-pub ahead of print)