Principles of fMRI 1

Dr. Martin Lindquist serves as Professor of Biostatistics at Johns Hopkins University, specializing in mathematical and statistical applications in functional Magnetic Resonance Imaging (fMRI). His research encompasses the full spectrum of fMRI analysis, from developing new k-space sampling trajectories and reconstruction algorithms to creating innovative statistical methods for analyzing fMRI time series data. His work particularly focuses on advancing methods for studying brain connectivity and using neuroimaging data to predict psychological and disease states, making significant contributions to the field of neuroimaging statistics.

Dr. Tor Wager holds the prestigious position of Diana L. Taylor Distinguished Professor, with affiliations at both Johns Hopkins University and the University of Colorado Boulder. His groundbreaking research focuses on understanding brain mechanisms of pain, emotion, and human consciousness. Through his innovative work in neuroimaging and brain-behavior relationships, he has made significant contributions to our understanding of how the brain processes pain and emotions. His research has revolutionized our knowledge of placebo effects and brain-body connections, leading to important discoveries in pain management and emotional regulation. Dr. Wager's work combines advanced neuroimaging techniques with sophisticated analytical methods to explore how psychological processes influence physical health and well-being.