Evidence map›Paper›PMID 31401546›Full record

ArticlePsychiatry research. Neuroimaging2019

Functional connectivity of emotional well-being: Overconnectivity between default and attentional networks is associated with attitudes of anger and aggression.

Fiona L Weathersby, Jace B King, J Chancelor Fox, Amy Loret, Jeffrey S Anderson

Abstract read
In one paragraph

Article in Psychiatry research. Neuroimaging, 2019. 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
–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

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

  1. Pooled it
  2. Article
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  6. Review
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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

5 authors.

Fiona L WeathersbyUniversity of Utah Department of Biomedical Engineering, 36 South Wasatch Drive, Salt Lake City, UT 84112, USA; University of Utah Interdepartmental Neuroscience Program, 20 South 2030 East, Salt Lake City, UT 84102, USA.
Jace B KingUniversity of Utah Interdepartmental Neuroscience Program, 20 South 2030 East, Salt Lake City, UT 84102, USA; University of Utah Department of Radiology and Imaging Sciences, 1A71 School of Medicine, Salt Lake City, UT 84132, USA.
J Chancelor FoxBrigham Young University Department of Exercise Sciences, 106 SFH, Provo, UT 84602, USA.
Amy LoretUniversity of Utah Department of Radiology and Imaging Sciences, 1A71 School of Medicine, Salt Lake City, UT 84132, USA.
Jeffrey S AndersonUniversity of Utah Department of Biomedical Engineering, 36 South Wasatch Drive, Salt Lake City, UT 84112, USA; University of Utah Interdepartmental Neuroscience Program, 20 South 2030 East, Salt Lake City, UT 84102, USA; University of Utah Department of Radiology and Imaging Sciences, 1A71 School of Medicine, Salt Lake City, UT 84132, USA. Electronic address: j.anderson@hsc.utah.edu.

Funding

Atypical Late Neurodevelopment in Autism: A Longitudinal MRI and DTI StudyR01MH080826 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI LAINHART, JANET ELIZABETH · 2007 to 2020
$6.5M
NIMH NIH HHS R01 MH080826
6 · The paper itself

Abstract

Functional MRI connectivity has identified neurophysiology relevant to cognition and personality, motivating a search for relationships between brain architecture and emotional health and well-being. Two approaches were used to asses functional connectivity correlates of emotional health and well-being. The first approach used principal component analysis to evaluate resting-state functional magnetic resonance imaging data from the Human Connectome Project 1200 Subjects Data Release. Pairwise functional connectivity measurements were obtained from a 5 mm resolution parcellation of brain gray matter. Principal components were calculated for each individual and for group mean connectivity data and compared to obtain an estimate of typicality of functional connectivity for each component in each subject. Typicality scores were compared to reported emotional health metrics using a general linear model. The second approach calculated functional connectivity between each pair of networks from a 17-resting-state network cortical parcellation. Typicality of connectivity showed significant correlation across the population to emotional metrics corresponding to attitudes of anger and aggression in 3 of 10 principal components. Additionally, functional connectivity between the default and attentional networks was positively correlated with scores of attitudes of anger and aggression. These findings are consistent with a mechanism of impaired effortful control and decreased response inhibition of impulsivity.

Indexed as

AggressionAngerAttentionAttitudeConnectomeMagnetic Resonance ImagingAdultBrainFemaleGray MatterHumansImpulsive BehaviorMalePrincipal Component AnalysisAttentional networksDefault mode networkEffortful controlEmotional well-beingFMRIPrincipal component analysis

Identifiers

PMID31401546
PMCPMC6708495

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Registered trials

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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.