Multivariate data-driven solutions for static and dynamic brain connectivity

Tulay Adali, Department of Computer Science and Electrical Engineering, UMBC.

There is considerable evidence that disruption of time-varying connectivity in mental illness is more sensitive than static connectivity. We develop and test multivariate data-driven methods to estimate the changes of interest in functional magnetic resonance imaging (fMRI) data a robust manner.