Martin Lindquist

My research is focused on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). The topics I am interested in involve designing new k-space sampling trajectories; developing new reconstruction algorithms for transforming the resulting k-space data into images; and the statistical analysis of fMRI time series data. The latter includes developing new methods for studying brain connectivity and predicting psychological or disease state using neuroimaging data

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Principles of fMRI 2 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public [...]

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public [...]