ArticleBrain and behavior2020
Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Multimodal neuroimaging data boosts the prediction of multifaceted cognition.Research square · 2025Article
- Multivariate Neural Markers of Individual Differences in Thought Control Difficulties.bioRxiv : the preprint server for biology · 2025Article
- Multivariate neural markers of individual differences in thought control difficulties.NeuroImage. Clinical · 2025Article
- Intrinsic functional connectivity of motor and heteromodal association cortex predicts individual differences in regulatory focus.PNAS nexus · 2024Article
- The challenges and prospects of brain-based prediction of behaviour.Nature human behaviour · 2023Review
- The antidepressant effect of cognitive reappraisal training on individuals cognitively vulnerable to depression: Could cognitive bias be modified through the prefrontal-amygdala circuits?Frontiers in human neuroscience · 2022Article
- Functional connectivity predicts the dispositional use of expressive suppression but not cognitive reappraisal.Brain and behavior · 2020Article
- Resting State Cortico-Limbic Functional Connectivity and Dispositional Use of Emotion Regulation Strategies: A Replication and Extension Study.Frontiers in behavioral neuroscience · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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