Bridging the Gap: Dynamic Causal Modeling and Granger Causality Analysis of Resting State Functional Magnetic Resonance Imaging

@article{Bajaj2016BridgingTG,
  title={Bridging the Gap: Dynamic Causal Modeling and Granger Causality Analysis of Resting State Functional Magnetic Resonance Imaging},
  author={Sahil Bajaj and Bhim Mani Adhikari and Karl J. Friston and Mukesh Dhamala},
  journal={Brain connectivity},
  year={2016},
  volume={6 8},
  pages={
          652-661
        }
}
Granger causality (GC) and dynamic causal modeling (DCM) are the two key approaches used to determine the directed interactions among brain areas. Recent discussions have provided a constructive account of the merits and demerits. GC, on one side, considers dependencies among measured responses, whereas DCM, on the other, models how neuronal activity in one brain area causes dynamics in another. In this study, our objective was to establish construct validity between GC and DCM in the context… 

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