Evidence map›Paper›PMID 31169966›Full record

SynthesisHuman brain mapping2019

Brain gray matter correlates of extraversion: A systematic review and meta-analysis of voxel-based morphometry studies.

Han Lai, Song Wang, Yajun Zhao, Lei Zhang, Cheng Yang, Qiyong Gong

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 5 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

15 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Article
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  9. Review: Defining Positive Emotion Dysregulation: Integrating Temperamental and Clinical Perspectives.Journal of the American Academy of Child and Adolescent Psychiatry · 2023
    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

6 authors.

Han LaiHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Song WangHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-4476-1915
Yajun ZhaoSchool of Sociology and Psychology, Southwest Minzu University, Chengdu, China.
Lei ZhangPsychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, China.
Cheng YangHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Qiyong GongHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.ORCID 0000-0002-5912-4871

Funding

American CMB Distinguished Professorship Award F510000/G16916411Changjiang Scholar Professorship Award of China T2014190China Postdoctoral Science Foundation 2019M653421National Natural Science Foundation of China 81621003National Natural Science Foundation of China 81820108018 and 31800963Post-Doctor Interdisciplinary Research Project of Sichuan UniversityProgram for Changjiang Scholars and Innovative Research Team in University IRT16R52
6 · The paper itself

Abstract

Extraversion is a fundamental personality dimension closely related to an individual's life outcomes and mental health. Although an increasing number of studies have attempted to identify the neurostructural markers of extraversion, the results have been highly inconsistent. The current study aimed to achieve a comprehensive understanding of brain gray matter (GM) correlates of extraversion with a systematic review and meta-analysis approach. Our review showed relatively high interstudy heterogeneity among previous findings. Our meta-analysis of whole-brain voxel-based morphometry studies revealed that extraversion was stably associated with six core brain regions. Additionally, meta-regression analyses identified brain regions where the associations of extraversion with GM volume were modulated by gender and age. The relationships between extraversion and GM structures were discussed based on three extraversion-related functional systems. Furthermore, we explained the gender and age effects. Overall, our study is the first to reveal a comprehensive picture of brain GM correlates of extraversion, and the findings may be useful for the selection of targeted brain areas for extraversion interventions.

Indexed as

Extraversion, PsychologicalBrainGray MatterHumansextraversionmeta-analysisstructural magnetic resonance imagingsystematic reviewvoxel-based morphometry

Identifiers

PMID31169966
PMCPMC6865809

What OpenQuestion holds

Textmetadata
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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.