Abstract

IntroductionPrevious 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.MethodHere, 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.ResultsWe 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.ConclusionThese findings help inform how whole‐brain networks of functional connectivity characterize how people tend to regulate emotion outside the laboratory.

Highlights

  • Previous research has identified specific brain regions associated with regulating emotion using common strategies such as expressive suppression and cognitive reappraisal

  • In light of the pronounced sex differences in the dispositional use of suppression and reappraisal (Aldao & Nolen-Hoeksema, 2013; Gross & John, 2003; Nolen-Hoeksema & Aldao, 2011), we examined how the predictive performance of this model varied based on sex

  • Of the 1,316 participants included in our analyses, 66 met criteria for major depressive disorder (MDD), 35 for bipolar disorder, 26 for panic disorder, 12 for social anxiety disorder, 24 for generalized anxiety disorder (GAD), 15 for obsessive compulsive disorder (OCD), two for post-traumatic stress disorder (PTSD), 142 for alcohol abuse, 48 for substance abuse, 11 for eating disorder, and three experienced psychotic symptoms

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Summary

| INTRODUCTION

Individuals choose to regulate their emotions in response to stressors in a variety of ways. Intrinsic activity within the default mode network, which supports self-referential processes, has been associated with suppression (Pan et al, 2018) and reappraisal (Gao, Chen, Biswal, Lei, & Yuan, 2018; Martins & Mather, 2016; Sripada et al, 2013; Xie et al, 2016). We employed connectome-based predictive modeling (CPM; Shen et al, 2017) to select the most informative features (functional connections) from GFC matrices and predict individual differences in the dispositional use of suppression and reappraisal without overfitting the data. In light of the pronounced sex differences in the dispositional use of suppression and reappraisal (Aldao & Nolen-Hoeksema, 2013; Gross & John, 2003; Nolen-Hoeksema & Aldao, 2011), we examined how the predictive performance of this model varied based on sex

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Findings
| DISCUSSION
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