Magnetic resonance spectroscopic Imaging of Neurochemicals Dynamics

Objective

Human cognition relies on finely tuned chemical signalling across distributed brain networks. Magnetic Resonance Spectroscopy (MRS) is the only non-invasive method for quantifying neurotransmitters, such as glutamate or gamma-aminobutyric acid (GABA). Yet, current Magnetic Resonance Spectroscopic Imaging (MRSI) methods cannot simultaneously capture neurochemical dynamics across spatially distant regions. This limitation prevents investigation of the coordinated chemical activity underlying learning and complex behaviours. With this project, I will develop next-generation MRSI methods to overcome the key barriers of sensitivity loss, water contamination, and lipid interference that restrict current approaches. Using parallel transmit (pTx) technology on ultra-high-field (7T) MRI, I will design advanced radio-frequency pulses and optimisation strategies to (1) homogenize sensitivity and suppress water signals across the brain, and (2) achieve robust skull and subcutaneous lipid suppression for reliable cortical imaging. These innovations will establish the first framework for robust MRSI across brain circuits. The methodology will be validated through simulations, phantom experiments, and in vivo pilot studies, culminating in (3) the first simultaneous mapping of task-related neurochemical modulations in the cerebello-thalamo-cortical circuit during a motor learning task. By enabling dynamic neurochemical imaging across brain networks, this project will transform our ability to link molecular processes to behaviour, providing a powerful new tool for both fundamental neuroscience and clinical research into brain disorders. I am uniquely positioned to deliver these results, combining the extensive experience in radio-frequency pulse design for quantitative MRI acquired during my PhD with the cutting-edge research in MRS and MRSI of Dr. Clarke's group at the University of Oxford, and the MRSI users in the department conducting world leading neuroscience research.