Advancing understanding of affect labeling with dynamic causal modeling.
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ABSTRACT:
SUBMITTER: Torrisi SJ
PROVIDER: S-EPMC3759566 | biostudies-literature | 2013 Nov
REPOSITORIES: biostudies-literature
Publications
Advancing understanding of affect labeling with dynamic causal modeling.
Torrisi Salvatore J SJ Lieberman Matthew D MD Bookheimer Susan Y SY Altshuler Lori L LL
NeuroImage 20130614
Mechanistic understandings of forms of incidental emotion regulation have implications for basic and translational research in the affective sciences. In this study we applied Dynamic Causal Modeling (DCM) for fMRI to a common paradigm of labeling facial affect to elucidate prefrontal to subcortical influences. Four brain regions were used to model affect labeling, including right ventrolateral prefrontal cortex (vlPFC), amygdala and Broca's area. 64 models were compared, for each of 45 healthy ...[more]
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