Learning functional structure from fMR images

@article{Zheng2006LearningFS,
  title={Learning functional structure from fMR images},
  author={Xuebin Zheng and Jagath C. Rajapakse},
  journal={NeuroImage},
  year={2006},
  volume={31},
  pages={1601-1613}
}
We propose a novel method using Bayesian networks to learn the structure of effective connectivity among brain regions involved in a functional MR experiment. The approach is exploratory in the sense that it does not require an a priori model as in the earlier approaches, such as the Structural Equation Modeling or Dynamic Causal Modeling, which can only affirm or refute the connectivity of a previously known anatomical model or a hypothesized model. The conditional probabilities that render… CONTINUE READING

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