Evidence map›Paper›PMID 40561475›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2025

It's all connected! Multivariate pattern analysis of inter-network connectivity distinguishes between reappraisal and passive viewing of emotional scenes.

Scarlett Horner, Thomas Rawliuk, Ryan M Ferstl, Andrew L Lyons, Janeen Martin, Diana J Gorbet, W Dale Stevens, Steven G Greening

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Scarlett HornerBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.
Thomas RawliukBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.
Ryan M FerstlBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.
Andrew L LyonsBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.
Janeen MartinBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.
Diana J GorbetYork MRI Facility, York University, 4700 Keele St., Toronto, ON M3J 1P3, Canada.
W Dale StevensYork MRI Facility, York University, 4700 Keele St., Toronto, ON M3J 1P3, Canada.
Steven G GreeningBrain & Cognitive Sciences, Dept. of Psychology, University of Manitoba, 190 Dysart Rd., Winnipeg, MB R3T 2N2, Canada.

Funding

NSERC DiscoveryYork VISTA Travel
6 · The paper itself

Abstract

Down-regulation using reappraisal is often associated with negative connectivity between prefrontal areas such as the dorsolateral prefrontal cortex (dlPFC) and areas associated with emotion such as the insula and amygdala, though a network perspective is often lacking in emotion regulation research. Whereas the dlPFC is associated with the attentional control network (ACN), the insula and amygdala are associated with the salience and limbic networks, respectively. The default mode network (DMN), including the ventromedial PFC, also contributes to emotion regulation. The present study sought to determine if inter-network functional connectivity can dissociate reappraising from passively viewing a negative image using multivariate pattern analysis (MVPA). Thirty-one participants completed a functional magnetic resonance imaging task in which they reappraised and viewed negative images. Behavioral and skin conductance response results indicated that reappraisal was associated with reductions in negative affect compared to viewing. The univariate connectivity analysis revealed that connections between aspects of the DMN and ACN differed between reappraising versus viewing negative images. Notably, the inter-network connectivity MVPA results demonstrated that whether one was reappraising versus viewing an image could be predicted better than chance, with several connections reliably contributing to the model, including those between ACN and DMN.

Indexed as

BrainDefault Mode NetworkEmotional RegulationEmotionsNerve NetAdultAttentionBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMultivariate AnalysisNeural PathwaysYoung Adultattention control network (ACN)default mode network (DMN)functional connectivitymultivariate pattern analysisreappraisal

Identifiers

PMID40561475
PMCPMC12192433

What Socratic 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 Socratic graph.