Sir Henry Wellcome Postdoctoral Fellow
My background is in physics, specialising in its application to the field of neuroscience. I am interested in developing new techniques to identify processes in brain disease using Magnetic Resonance Imaging (MRI). My fellowship aims to develop an imaging technique based on diffusion MRI, which produces images sensitive to the tiny motions of water in the brain. I will use my technique to see its potential in identifying brain markers of Parkinson's disease.
I will achieve this using a combination of post-mortem and in vivo imaging, based on a technique known as 'diffusion-weighted steady-state free precession'. More broadly, my research interests span diffusion MRI, susceptibility-based MRI and quantitative MRI, investigating how we can these methods to obtain more information about the composition and structure of the brain.
Over the past few years at Oxford, I have been focused on developing these techniques in the context of post-mortem brain imaging. For a brief explanation of this work, please see this video: https://youtu.be/-QUfZP4NOdg
To see how we are utilising post-mortem imaging in our research, and what datasets we have collected, please visit the Digital Brain Bank: https://open.win.ox.ac.uk/DigitalBrainBank/
Methods for quantitative susceptibility and R2* mapping in whole post-mortem brains at 7T applied to amyotrophic lateral sclerosis.
Wang C. et al, (2020), Neuroimage, 222
Longitudinal connections and the organization of the temporal cortex in macaques, great apes, and humans.
Roumazeilles L. et al, (2020), PLoS Biol, 18
Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP.
Tendler BC. et al, (2020), Neuroimage, 220
Brain gyrification in wild and domestic canids: Has domestication changed the gyrification index in domestic dogs?
Grewal JS. et al, (2020), J Comp Neurol
Preserved extrastriate visual network in a monkey with substantial, naturally occurring damage to primary visual cortex.
Bridge H. et al, (2019), Elife, 8