Main funding sources
Medical Research Council (MRC UK)
Professor of Biomedical Engineering
- Wellcome Trust Senior Research Fellow
- Head of Diffusion Analysis, FMRIB
- Lecturer in Engineering and Senior Research Fellow, St Hilda's College
Broadly, our goal is to achieve a better understanding of the structural and functional organisation of the brain at a systems level. My lab’s current research interests include:
- mathematical modelling of diffusion weighted MR
- comparisons of in-vivo, ex-vivo, and histological techniques in humans and non-human primates
- human-macaque comparative anatomy
- microstructure modelling with novel MR pulse sequences
- models of individual variation in brain function
- dynamic (incl. diffusion) MR spectroscopy analysis
- brain connectivity modelling
GABA and Glutamate in hMT+ Link to Individual Differences in Residual Visual Function After Occipital Stroke.
Willis HE. et al, (2023), Stroke, 54, 2286 - 2295
Clinical applications of magnetic resonance imaging based functional and structural connectivity.
Wu C. et al, (2021), Neuroimage, 244
Modelling white matter in gyral blades as a continuous vector field.
Cottaar M. et al, (2020), Neuroimage, 227
FSL-MRS: An end-to-end spectroscopy analysis package.
Clarke WT. et al, (2020), Magn Reson Med
FSL‐MRS: An end‐to‐end spectroscopy analysis package
Clarke WT. et al, (2020), Magnetic Resonance in Medicine
Challenges and future directions for representations of functional brain organization.
Bijsterbosch J. et al, (2020), Nat Neurosci, 23, 1484 - 1495
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
Non-Negative Data-Driven Mapping of Structural Connections with Application to the Neonatal Brain.
Thompson E. et al, (2020), Neuroimage
XTRACT - Standardised protocols for automated tractography in the human and macaque brain.
Warrington S. et al, (2020), Neuroimage, 217
Transient spectral events in resting state MEG predict individual task responses.
Becker R. et al, (2020), Neuroimage, 215