Gary Glover

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University, with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound.

• Academic Appointments: Radiology, Psychology, Electrical Engineering
• Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute

Research Interests include:

• Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI
• Functional MR Elastography for brain activation mapping
• Optimization of MR-ARFI for transcranial ultrasound guidance
• Automated spinal cord segmentation (EPISeg) using machine learning

Scientific Awards:

• National Academy of Engineering (2013)
• Gold Medal, ISMRM (2000)
• Steinmetz Award, General Electric (1985)
• Lauterbur Lecture, ISMRM (2018)

Recent Publications analyze:

• Fast fMRI sampling and spurious signal correction
• Dissociated patterns in default mode network anti-correlations
• Neural correlates of collaborative behavior in triadic fMRI
• Salience network contributions to depression pathophysiology