Postdoctoral Fellow
The overarching goal of my research is to apply a neural-systems perspective in developing integrative and applicable neural models of mood and anxiety disorders. To develop our knowledge of the neural underpinnings of depression and anxiety, I have applied an array of analytic methods — including standard general linear model, functional connectivity, and real-time analyses, as well as meta-analysis — to data from magnetic-resonance-based structural, blood-oxygen-level-dependent, and perfusion imaging techniques. More recently, in beginning to understand neural-molecular interactions in depression, I have launched multimodal neuroimaging investigations of MDD that incorporate simultaneous acquisition of positron emission tomography and functional magnetic resonance imaging (FMRI) data.