I am a computational neuroscientist with a research focus on analysis and whole-brain network modeling of neuroimaging data, especially during the resting-state of the brain. I have worked on projects in identifying changes in the resting-state as a result of neurological and neurodegenerative diseases. The analysis approach I use focuses on understanding temporal fluctuations in the resting-state functional architecture. My network modeling approach incorporates anatomical connectivity along with a mathematical model for neural activity of local brain regions to simulate whole-brain functional connectivity (FC) measures that are then compared with empirically measured FCs. The other modeling/analysis question I am interested in is uncovering inter-regional causal interactions and directed information flow in the resting-state. Here I use a model-based approach to infer effective connectivity from lagged and non-lagged empirical FCs. Finally I combine these approaches with machine learning methods to identify disease biomarkers. Relevant Publications: Adhikari et al., Decreased integration and information capacity in stroke measured by whole brain models of resting state activity, Brain, 2017. Adhikari et al., Resting-State Co-activation Patterns as Promising Candidates for Prediction of Alzheimer’s Disease in Aged Mice, Front. Neural Circuits, 2021.