Evidence map›Paper›PMID 31930667›Full record

ArticleBrain and behavior2020

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

Daisy A Burr, Tracy d'Arbeloff, Maxwell L Elliott, Annchen R Knodt, Bartholomew D Brigidi, Ahmad R Hariri

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daisy A BurrDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.ORCID 0000-0001-9149-6053
Tracy d'ArbeloffDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.
Maxwell L ElliottDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.
Annchen R KnodtDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.
Bartholomew D BrigidiDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.
Ahmad R HaririDepartment of Psychology & Neuroscience, Duke University, Durham, NC, USA.

Funding

Quantifying Individual Differences in Midlife Structural Brain Integrity Associated with Later AD/ADRD RiskR01AG049789 · NIA · DUKE UNIVERSITY · PI AHMAD R. HARIRI, TERRIE E MOFFITT · 2015 to 2026
$10.6M
Self-Regulation Failure: Identifying and Modifying a Risk PhenotypeR01DA031579 · NIDA · DUKE UNIVERSITY · PI HARIRI, AHMAD R., STRAUMAN, TIMOTHY J · 2010 to 2012
$1.9M
Neurogenetic Pathways to Drug Use in Young AdultsR01DA033369 · NIDA · DUKE UNIVERSITY · PI HARIRI, AHMAD R. · 2013 to 2016
$1.4M
A Compute Cluster for Brain Imaging and AnalysisS10OD021480 · OD · DUKE UNIVERSITY · PI SONG, ALLEN W · 2016 to 2016
$568k
Duke UniversityNational Science Foundation Graduate Research Fellowship DGE-1644868NIA NIH HHS R01 AG049789NIDA NIH HHS R01 DA031579NIDA NIH HHS R01 DA033369NIH HHS S10 OD021480
6 · The paper itself

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.

Indexed as

BrainBrain MappingConnectomeAdultEmotional RegulationFemaleFunctional NeuroimagingHumansIndividualityMaleMental ProcessesModels, PsychologicalSex Factorsbiomarkeremotion regulationfunctional connectivitypredictive modeling

Identifiers

PMID31930667
PMCPMC7010583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.