Independent Component Analysis (ICA) is a statistical method that transforms set of random variables in least dependent linear combinations. Under the assumption observed data are mixtures non-Gaussian and independent processes, ICA able to recover underlying components, but scale order indeterminacy. Its application structural vector autoregressive (SVAR) models allows researcher impact shocks...

We observed in a previous study (PLoS ONE 6:e24522) that the self-regulation of amygdala activity via real-time fMRI neurofeedback (rtfMRI-nf) with positive emotion induction was associated, in healthy participants, with an enhancement in the functional connectivity between the left amygdala (LA) and six regions of the prefrontal cortex. These regions included the left rostral anterior cingulat...