Advancing understanding of affect labeling with dynamic causal modeling

• Published in: NeuroImage (Orlando, Fla.) Vol. 82; pp. 481 - 488
• Main Authors: Torrisi, Salvatore J., Lieberman, Matthew D., Bookheimer, Susan Y., Altshuler, Lori L.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 15.11.2013; Elsevier; Elsevier Limited
• Subjects: Accuracy; Adult; Affect - physiology; Affect labeling; Bayes Theorem; Behavior; Biological and medical sciences; Brain - physiology; Brain Mapping; Dynamic causal modeling; Effective connectivity; Emotions; Female; Fundamental and applied biological sciences. Psychology; Humans; Image Processing, Computer-Assisted; Incidental emotion regulation; Labeling; Magnetic Resonance Imaging; Male; Medical imaging; Photic Stimulation; Studies; Teenagers; Vertebrates: nervous system and sense organs; Incidental emotion regulation; Dynamic causal modeling; Affect labeling; Effective connectivity

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...