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Advanced, open tools for MR Spectroscopy
My work focusses on developing new methods for magnetic resonance spectroscopy (MRS). Using similar methods to MR imaging (MRI), MRS allows us to quantify the concentrations and chemical kinetics of many neurochemicals in the human brain. Furthermore, by using neurochemicals as endogenous probes we can also map cell-type-specific microstructure. My work seeks to develop new ways of acquiring multi-voxel spectroscopic information to measure chemical dynamics and cellular microstructure across the brain. I have released the open-science MRS analysis tool FSL-MRS and created a range of open-source tools for the MRS community. I am a cofounder of the educational website MRSHub.
Recently I have been awarded a Wellcome Career Development Award. In early 2023 I will be starting a spectroscopy group at WIN, and will be actively recruiting for two post-doctoral researchers working in the areas of MRSI, functional MRS, and diffusion-weighted MRS. Please get in touch in the meantime if you would like more information.
Previously I have worked as spectroscopist in the Physiological Neuroimaging Group and as a post-doctoral researcher in the UK7T Network. The UK7T Network brought together the five 7 tesla MRI capable sites in the UK to develop and promote scanning at this high field strength.
Prior to working in neuroimaging, I completed my doctorate in cardiovascular magnetic resonance spectroscopy. This work focused on the high-energy phosphorus metabolism of the human myocardium.
FSL‐MRS: An end‐to‐end spectroscopy analysis package
Clarke WT. et al, (2020), Magnetic Resonance in Medicine
Creatine kinase rate constant in the human heart measured with 3D-localization at 7 tesla.
Clarke WT. et al, (2017), Magn Reson Med, 78, 20 - 32
Retained Metabolic Flexibility of the Failing Human Heart.
Watson WD. et al, (2023), Circulation
Repeated unilateral handgrip contractions alter functional connectivity and improve contralateral limb response times.
Andrushko JW. et al, (2023), Sci Rep, 13
Cerebellar GABA Change during Visuomotor Adaptation Relates to Adaptation Performance and Cerebellar Network Connectivity: A Magnetic Resonance Spectroscopic Imaging Study
Nettekoven C. et al, (2022), Journal of Neuroscience, 42, 7721 - 7732
tDCS induced GABA change is associated with the simulated electric field in M1, an effect mediated by grey matter volume in the MRS voxel.
Nandi T. et al, (2022), Brain Stimul
Community-Organized Resources for Reproducible MRS Data Analysis.
Soher BJ. et al, (2022), Magn Reson Med