Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal.

Journal Article (Journal Article)

Introduction

Previous research has identified specific brain regions associated with regulating emotion using common strategies such as expressive suppression and cognitive reappraisal. However, most research focuses on a priori regions and directs participants how to regulate, which may not reflect how people naturally regulate outside the laboratory.

Method

Here, we used a data-driven approach to investigate how individual differences in distributed intrinsic functional brain connectivity predict emotion regulation tendency outside the laboratory. Specifically, we used connectome-based predictive modeling to extract functional connections in the brain significantly related to the dispositional use of suppression and reappraisal. These edges were then used in a predictive model and cross-validated in novel participants to identify a neural signature that reflects individual differences in the tendency to suppress and reappraise emotion.

Results

We found a significant neural signature for the dispositional use of suppression, but not reappraisal. Within this whole-brain signature, the intrinsic connectivity of the default mode network was most informative of suppression tendency. In addition, the predictive performance of this model was significant in males, but not females.

Conclusion

These findings help inform how whole-brain networks of functional connectivity characterize how people tend to regulate emotion outside the laboratory.

Full Text

Duke Authors

Cited Authors

  • Burr, DA; d'Arbeloff, T; Elliott, ML; Knodt, AR; Brigidi, BD; Hariri, AR

Published Date

  • February 2020

Published In

Volume / Issue

  • 10 / 2

Start / End Page

  • e01493 -

PubMed ID

  • 31930667

Pubmed Central ID

  • PMC7010583

Electronic International Standard Serial Number (EISSN)

  • 2162-3279

International Standard Serial Number (ISSN)

  • 2162-3279

Digital Object Identifier (DOI)

  • 10.1002/brb3.1493

Language

  • eng