Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Measuring neurophysiology and linking changes in the physiology to fMRI signals are crucial steps in effecting the translation of scientific advances into clinical practice. We are bridging the gap by improving MRI parameters, and developing mathematical models.

Fmri physiology 1
Mathematical models and measurement techniques for investigating brain physiology and metabolism

The Physiological Modelling group brings quantification to a science previously limited to localisation. Actually measuring the physiology of the human brain both at rest and during cognitive activity increases both the diagnostic potential of neurological MRI, and the investigative power of neuroscience.

Functional MRI has proven to be an exceptionally powerful tool for investigating the human brain. The majority of fMRI studies to date have been essentially qualitative in nature, with localisation of activity the principal outcome. Our work has focussed on producing MRI-based methodologies capable of quantitative measurement of both resting physiological parameters, and the quantitative measurement of changes in these values during functional activity.

By developing sophisticated signal models linking the MRI signals with the underlying physiology, we combine the latest developments in pulse sequence design with patient friendly stimuli such as altered respiratory values of oxygen or carbon dioxide to disentangle the MRI signal sources and produce images representing measures of the neurophysiology. From CBF, CBV and CVR to OEF, and CMRO2, the neurovascular physiology provides fundamental information about the state of the brain for both basic science and clinical diagnosis.

View our publications.

This research is conducted by the FMRIB Physics Group.

Related research themes