Bayesian Analysis of Tasked-Based fMRI for Pre-Surgical Planning

There is a growing interest in using fMRI data in clinical practice such as in presurgical planning for brain tumor resection. I will present a fully Bayesian model for fMRI that may be more suitable for clinical applications than the standard massive univariate approach.

Speaker: Timothy D. Johnson, PhD, Professor of Biostatistics, University of Michigan

Zoom Information: Contact Liz Buggs to obtain Zoom Link