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Your search for Keyword: 'White matter disease' returned 13 Result(s)
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Dr Lucia Ballerini
I am a researcher in image analysis. I developed theoretical and application oriented methods. I have been working with different kind of images: medical, food, radar, robotic and forensic images. Recently I worked with skin lesion images and retinal images. See my 100+ publications (google scholar or researchgate) for more details
I am presently working MR brain images.
Dr Una Clancy
I am analysing subtle symptoms of cerebral SVD in in relation to imaging correlates, which is important in order to translate radiological evidence of ‘silent’ SVD into clinically significant outcomes. I am characterising these symptoms in relation to progression of SVD radiologically based on longitudinal disease progression on MRI. This work will allow us to identify those individuals with early features of SVD, before significant disease progression occurs. Identifying the disease early will be central to future dementia and stroke prevention. I am currently involved in the Mild Stroke Study 3, the R4VaD Study and the LACI-2 Study.
Supervisors: Prof. Joanna Wardlaw and Dr Fergus Doubal
Sean Denham
Dr David Alexander Dickie
Structural brain ageing
White matter disease
Cognitive ageing
Stroke
Image Analysis
Alzheimer's disease and other dementias
Miss Emma Elliott
Miss Maria Goni
Olivia Hamilton
I am interested in the vulnerability of the ageing brain, especially changes cognitive ability and behaviour that can occur as part of 'healthy' ageing, or as a result of diseases such as stroke or dementia.
My PhD project focuses on changes in cognitive ability in cerebral small vessel disease and how this might relate to structural brain changes that occur throughout the disease course.
Currently, I am conducting a systematic review on the associations between domain specific cognitive ability and structural brain changes (visible on MRI) in sporadic small vessel disease (https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=80215). I am also employing structural equation modelling techniques to investigate the relationship between visible MRI markers of sporadic small vessel disease and cognitive ability longitudinally in several large cohorts.
My research aims to better characterise the cognitive symptomatology of cerebral small vessel disease and its trajectory over the disease course; examine how this relates to underlying changes in brain structure; and to explore how we can use neuroimaging, psychological and epidemiological data to more accurately predict outcomes for people with cerebral small vessel disease.
Supervisors: Professor Joanna Wardlaw and Professor Ian Deary
Ms Shadia Mikhael
Dr Arnab Rana
- Hippocampal atrophy
- Cognitive ageing
- Stroke
- Brain tumours
Shaun R. Stone
Shaun Stone is a final year Ph.D. ERC studying Medical Imaging at the University of Aberdeen under the supervision of Professor Alison Murray. He is the deputy student lead of the Image Analysis group of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE), a consortium of seven Scottish universities. His research is titled “Cognitive Reserve Estimation Models from Brain MRI in Healthy Ageing: A Machine Learning Approach”, under the supervision of Professor Alison D. Murray (University of Aberdeen), Dr Roger Staff (NHS), Professor Joanna Wardlaw, Professor Craig Ritchie (University of Edinburgh) and Dr Robin Wolz (IXICO). Cosupervisors to this project at Dr Gordon Waiter and Dr Anca Sandu-Giuraniuc. His project is funded by SINAPSE and industry partners IXICO.
His project aims to identify the most important MR imaging biomarkers that influence differences in cognitive resilience. That is, given the life-course of an individual, what are the imaging characteristics that allow us to predict increased risk of cognitive impairment? Further, what factors provide resilience against age- and disease-related brain changes? He is passionate about computational neuroscience, artificial intelligence and computer-assisted diagnosis in medical imaging. Shaun completed his undergraduate (BSc) degree in Psychology with Neuroscience, and postgraduate (MSc) degree in Neuroimaging at Bangor University, North Wales - where he gained experience using a range of neuroimaging techniques. Shaun continues to learn, using his neuro-background to transfer into computational medicine and diagnostic imaging and is looking forward to his future career in research or industry, thanks to this opportunity.
