Rate My Professor Kevin Murphy

Murphy's research centers on cerebrovascular neuroimaging, creating methods to measure CVR, cerebral autoregulation, oxygen extraction fraction (OEF), and cerebral metabolic rate of oxygen (CMRO2), while addressing physiological noise in fMRI to isolate neural signals. His group has linked blood pressure fluctuations to BOLD signals, demonstrated neurovascular coupling dependence on baseline cerebral blood flow, and shown neural-vascular networks as functional units using fMRI and MEG. Ongoing projects include integrated MRI for microvascular and metabolic mapping in brain diseases such as stroke, Alzheimer's, multiple sclerosis, and Huntington's Disease, as well as vascular effects in gender-affirming hormone therapy and menstrual cycle perfusion changes. Notable publications include 'Towards a consensus regarding global signal regression for resting state functional connectivity MRI' (NeuroImage, 2017), 'Resting-state fMRI confounds and cleanup' (NeuroImage, 2013), 'Breath-hold BOLD fMRI without CO2 sampling enables estimation of venous cerebral blood volume' (NeuroImage, 2024), and 'Cerebrovascular function in women with polycystic ovary syndrome' (Clinical Endocrinology, 2025). He supervises PhD students, including Rik Khot, and co-edited the opening editorial for Imaging Neuroscience (2023).