Biomarker Potential of Spatial Network Organization
Studies from our lab and other groups have shown that spatial network organization may be a stronger predictor of behavior than between-region connectivity patterns. This invites the question whether spatial metrics may also offer more sensitive biomarkers of disease. We test this question in a variety of different disease cohorts including depression and addiction.
Unique Versus Common Cross-Diagnostic Connectivity Abnormalities
Symptoms such as changes in sleep, mood, and motivation are commonly seen across a number of different psychiatric disorders. The aim of this project is to differentiate between shared connectivity abnormalities (linked to common symptoms) and unique markers of disease.
Understanding Overlap in Resting State fMRI Networks at the Single Cell Level
Densely interconnected ‘hub’ regions play an important role in human cognition and behavior, however, the cellular architecture in such hub regions is currently unknown. This proposal bridges across species and across scales to study the cellular circuitry in hub regions.
Using electrophysiology and oxygen polarography, we test whether neurons in hub regions are: spatially interdigitated, temporally switching network allegiance or truly integrating across networks.