Journal Article

FZJ-2019-00028

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Brain networks for engaging oneself in positive-social emotion regulation

Koush, Y. (Corresponding author) ; Pichon, S. ; Eickhoff, S.FZJ* ; Van De Ville, D. ; Vuilleumier, P. ; Scharnowski, F.

2019
Academic Press Orlando, Fla.

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/22107  doi:10.1016/j.neuroimage.2018.12.049

Abstract: Positive emotions facilitate cognitive performance, and their absence is associated with burdening psychiatric disorders. However, the brain networks regulating positive emotions are not well understood, especially with regard to engaging oneself in positive-social situations. Here we report convergent evidence from a multimodal approach that includes functional magnetic resonance imaging (fMRI) brain activations, meta-analytic functional characterization, Bayesian model-driven analysis of effective brain connectivity, and personality questionnaires to identify the brain networks mediating the cognitive up-regulation of positive-social emotions. Our comprehensive approach revealed that engaging in positive-social emotion regulation with a self-referential first-person perspective is characterized by dynamic interactions between functionally specialized prefrontal cortex (PFC) areas, the temporoparietal junction (TPJ) and the amygdala. Increased top-down connectivity from the superior frontal gyrus (SFG) controls affective valuation in the ventromedial and dorsomedial PFC, self-referential processes in the TPJ, and modulate emotional responses in the amygdala via the ventromedial PFC. Understanding the brain networks engaged in the regulation of positive-social emotions that involve a first-person perspective is important as they are known to constitute an effective strategy in therapeutic settings

Note: This study was supported by the Center for Neuroscience of the University of Geneva, the Ernest 6 Boninchi Foundation, the Swiss National Science Foundation (YK: P300PB_161083; FS: 7 PZ00P3-131932, PP00P2-146318, BSSG10_155915, 100014_178841, 32003B_166566), and the 8 Wyss Center at the Campus Biotech Geneva. FS is also supported by the Foundation for 9 Research in Science and the Humanities at the University of Zurich (STWF-17-012), the 10 Baugarten Stiftung, and the European Union. We thank Hanneke den Ouden for helpful 11 discussions. The computations were performed at the EPFL on the Castor HPC cluster, and at the 12 University of Geneva on the Baobab HPC cluster. The authors declare no competing financial 13 interests.

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 571 - Connectivity and Activity (POF3-571) (POF3-571)

Appears in the scientific report 2019

---

Database coverage:
; ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

---