an:05208795
Zbl 1122.92044
Wong, Kin Foon Kevin; Ozaki, Tohru
Akaike causality in state space. Instantaneous causality between visual cortex in fMRI time series
EN
Biol. Cybern. 97, No. 2, 151-157 (2007).
00210780
2007
j
92C55
Akaike causality; noise contribution ratio; state space model; latent variable; instantaneous causality
Summary: 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's noise contribution ratio theory. The method is illustrated by an application to fMRI data recorded under visual stimulation.