Evidence map›Paper›PMID 33949645›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Characterizing the Network Architecture of Emotion Regulation Neurodevelopment.

João F Guassi Moreira, Katie A McLaughlin, Jennifer A Silvers

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 31% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A functional magnetic resonance imaging study of frontal networks in obsessive-compulsive disorder during cognitive reappraisal.European psychiatry : the journal of the Association of European Psychiatrists · 2022
    Article
  9. Review
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

3 authors at 2 institutions in 1 country.

João F Guassi MoreiraDepartment of Psychology, University of California, Los Angeles, CA 90095, USA.
Katie A McLaughlinDepartment of Psychology, Harvard University, Cambridge, MA 02138, USA.
Jennifer A SilversDepartment of Psychology, University of California, Los Angeles, CA 90095, USA.
University of California, Los Angeles · USHarvard University · US

Funding

Neurodevelopmental Mechanisms Underlying Stress Vulnerability during AdolescenceR37MH119194 · NIMH · HARVARD UNIVERSITY · PI Katie McLaughlin · 2020 to 2026
$10.6M
Child Trauma and the Development of Neural Systems Underlying Emotion RegulationR01MH103291 · NIMH · UNIVERSITY OF WASHINGTON · PI MCLAUGHLIN, KATIE · 2014 to 2018
$3.8M
Deprivation and Threat: Dimensions of Early Experience and Neural DevelopmentR01MH106482 · NIMH · UNIVERSITY OF WASHINGTON · PI MCLAUGHLIN, KATIE · 2016 to 2020
$3.1M
National Science Foundation Graduate Research Fellowship 2016220797NIMH NIH HHS R01 MH103291NIMH NIH HHS R01 MH106482NIMH NIH HHS R37 MH119194
6 · The paper itself

Abstract

The ability to regulate emotions is key to goal attainment and well-being. Although much has been discovered about neurodevelopment and the acquisition of emotion regulation, very little of this work has leveraged information encoded in whole-brain networks. Here we employed a network neuroscience framework to parse the neural underpinnings of emotion regulation skill acquisition, while accounting for age, in a sample of children and adolescents (N = 70, 34 female, aged 8-17 years). Focusing on three key network metrics-network differentiation, modularity, and community number differences between active regulation and a passive emotional baseline-we found that the control network, the default mode network, and limbic network were each related to emotion regulation ability while controlling for age. Greater network differentiation in the control and limbic networks was related to better emotion regulation ability. With regards to network community structure (modularity and community number), more communities and more crosstalk between modules (i.e., less modularity) in the control network were associated with better regulatory ability. By contrast, less crosstalk (i.e., greater modularity) between modules in the default mode network was associated with better regulatory ability. Together, these findings highlight whole-brain connectome features that support the acquisition of emotion regulation in youth.

Indexed as

AdolescentAdolescent DevelopmentBrainChildChild DevelopmentConnectomeDefault Mode NetworkEmotional RegulationEmotionsFemaleHumansLimbic SystemMagnetic Resonance ImagingMaleNerve Netcognitive reappraisalconnectomeemotion regulationnetwork neuroscienceneurodevelopment

Identifiers

PMID33949645
PMCPMC8521747
OpenAlexW3159181265

What OpenQuestion holds

Textmetadata
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.