April 5, 2017 @ 5:30pm, Rochester Institute of Technology
Title: An Adaptable Framework to Extract Abnormal Brain Networks
Abstract: There is increasing evidence that complex neurological disorders reflect distributed impairments across multiple brain systems. These findings underscore the importance of network-based approaches for functional data. However, network analyses in clinical neuroimaging is largely limited to aggregate measures, which do not pinpoint a concrete etiological mechanism. In contrast, I will present a novel Bayesian framework that captures the underlying topology of the altered functional pathways. I will also highlight some exciting future directions for our methodology that revolve around clinical understanding and interventions.