Prefrontal control of the amygdala during real-time fMRI neurofeedback training of emotion regulation
Vadim Zotev, Raquel Phillips, Kymberly D. Young, Wayne C. Drevets,, Jerzy Bodurka

TL;DR
This study investigates how real-time fMRI neurofeedback training influences the effective connectivity within a prefrontal-amygdala network involved in emotion regulation, highlighting the role of the rACC in modulating amygdala activity.
Contribution
It provides the first causal analysis of the effective connectivity changes in the prefrontal-amygdala network during neurofeedback training, emphasizing the rACC's modulatory role.
Findings
rACC modulates amygdala and other prefrontal regions during training
Training enhances the effective connectivity from rACC to amygdala
Increased instantaneous effects of rACC on multiple regions observed
Abstract
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 cingulate cortex (rACC), bilateral dorsomedial prefrontal cortex (DMPFC), bilateral superior frontal gyrus (SFG), and right medial frontopolar cortex (MFPC). Together with the LA, these six prefrontal regions thus formed the functional neuroanatomical network engaged during the rtfMRI-nf procedure. Here we perform a structural vector autoregression (SVAR) analysis of the effective connectivity for this network. The SVAR analysis demonstrates that the left rACC plays an important role during the rtfMRI-nf…
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