Guest Speaker: Dr. Elisenda Bueicheku (Associate research scientist at Yale School of Medicine)

Talk Title: Integrating Spatiotemporal Multi-Modal Neuroimaging using Graph Theory

Abstract: In this talk, I will examine the use of graph theory metrics and their application to in vivo human neuroimaging. Over the past years, I have been learning and applying common graph metrics, based on the principles of segregation and integration, to create comprehensive brain representations that describe the spatiotemporal characteristics of cognitive systems. I will discuss some examples of graph-based approaches combining diverse brain neuroimaging data, such as structural and functional MRI (including task-based and resting-state fMRI) and molecular PET imaging with MRI. Finally, I will discuss how these graph-based approaches are advancing our understanding of the human brain in aging and dementia.