The MR imaging facility fulfils a key aspect of the LMS mission by being at the forefront of innovative biomedical phenotyping, enabling fundamental research to be translated to clinical populations. The MR imaging facility supports LMS research into mechanistic understanding of disease processes affecting cardiovascular, psychiatric and metabolic systems.
The MR facility supports research applications including fMRI, multinuclear spectroscopy, diffusion tensor imaging, arterial spin labelling, cardiovascular and whole body imaging. We perform translational and clinical imaging research at the LMS using new imaging technologies, interventions and modelling techniques for proof of concept studies through to large-scale population cohorts. We have numerous external collaborations, including industrial partnerships, to offer added value to LMS imaging research through innovative machine learning, biostatistics and genomics.
Osimo EF, Brugger SP, de Marvao A, Pillinger T, Whitehurst T, Statton B, Quinlan M, Berry A, Cook SA, O’Regan DP, Howes OD. (2020). Cardiac structure and function in schizophrenia: cardiac magnetic resonance imaging study. Br J Psychiatry. doi: 10.1192/bjp.2019.268.
Bello GA, Dawes TJW, Duan J, Biffi C, de Marvao A, Howard LSGE, Gibbs JSR, Wilkins MR, Cook SA, Rueckert D, O’Regan DP. (2019). Deep learning cardiac motion analysis for human survival prediction. Nat Mach Intell. 11;1:95-104. doi: 10.1038/s42256-019-0019-2.
Nour MM, Dahoun T, Schwartenbeck P, Adams RA, FitzGerald THB, Coello C, Wall MB, Dolan RJ, Howes OD. (2018). Dopaminergic basis for signaling belief updates, but not surprise, and the link to paranoia. Proc Natl Acad Sci USA. 23;115(43):E10167-E10176. doi: 10.1073/pnas.1809298115.
Jauhar S, McCutcheon R, Borgan F, Veronese M, Nour M, Pepper F, Rogdaki M, Stone J, Egerton A, Turkheimer F, McGuire P, Howes OD. (2018). The relationship between cortical glutamate and striatal dopamine in first-episode psychosis: a cross-sectional multimodal PET and magnetic resonance spectroscopy imaging study. Lancet Psychiatry. 5(10):816-823. doi: 10.1016/S2215-0366(18)30268-2.
Schafer S, de Marvao A, Adami E, Fiedler LR, Ng B, Khin E, Rackham OJ, van Heesch S, Pua CJ, Kui M, Walsh R, Tayal U, Prasad SK, Dawes TJ, Ko NS, Sim D, Chan LL, Chin CW, Mazzarotto F, Barton PJ, Kreuchwig F, de Kleijn DP, Totman T, Biffi C, Tee N, Rueckert D, Schneider V, Faber A, Regitz-Zagrosek V, Seidman JG, Seidman CE, Linke WA, Kovalik JP, O’Regan D, Ware JS, Hubner N and Cook SA. (2017). Titin-truncating variants affect heart function in disease cohorts and the general population. Nat Genet, 49(1), 46-53.
Dawes TJW, de Marvao A, Shi W, Fletcher T, Watson GMJ, Wharton J, Rhodes CJ, Howard L, Gibbs JSR, Rueckert D, Cook SA, Wilkins MR, O’Regan DP. (2017). Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study. Radiology, 283(2), 381-390.