Akaike causality in state space. Instantaneous causality between visual cortex in fMRI time series.

@article{Wong2007AkaikeCI,
  title={Akaike causality in state space. Instantaneous causality between visual cortex in fMRI time series.},
  author={Kin Foon Kevin Wong and Tohru Ozaki},
  journal={Biological cybernetics},
  year={2007},
  volume={97 2},
  pages={151-7}
}
We present a new approach of explaining instantaneous causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven processes, a common process shared among multivariate time series and a specific process refining the common process. By assuming that noises are independent, a causality map is drawn using Akaike noise contribution ratio theory. The method is illustrated by an application to fMRI data recorded under visual… CONTINUE READING