Evidence map›Paper›PMID 38472448›Full record

ArticleExperimental brain research2024

Dissociable neural correlates of trait and ability emotional intelligence: a resting-state fMRI study.

Song Xue, Alain De Beuckelaer, Feng Kong, Jia Liu

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Experimental brain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 4 institutions in 2 countries.

Song XueSchool of Psychology, Nanjing Normal University, Nanjing, 210094, China. xues@njnu.edu.cn.
Alain De BeuckelaerInstitute for Management Research, Radboud University, Nijmegen, The Netherlands.
Feng KongSchool of Psychology, Shaanxi Normal University, Xian, China.
Jia LiuDepartment of Psychology and Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China.
Nanjing Normal University · CNRadboud University Nijmegen · NLShaanxi Normal University · CNTsinghua University · CN

Funding

China Postdoctoral Science Foundation 2019M651880National Natural Science Foundation of China 31800915
6 · The paper itself

Abstract

Emotional intelligence (EI) is one's ability to monitor one's own and other's emotions and the use of emotional information to enhance thought and action. Previous behavioral studies have shown that EI is separable into trait EI and ability EI, which are known to have distinct characteristics at the behavioral level. A relevant and unanswered question is whether both forms of EI have a dissociable neural basis. Previous studies have individually explored the neural underpinnings of trait EI and ability EI, but there has been no direct comparison of the neural mechanisms underlying these two types of emotional intelligence. The present study addresses this question by using resting-state fMRI to examine the correlational pattern between the regional amplitude of low-frequency fluctuations (ALFF) of the brain and individuals' trait EI and ability EI scores. We found that trait EI scores were positively correlated with the ALFF in the bilateral superior temporal gyrus, and negatively correlated with the ALFF in the ventral medial prefrontal cortex. In contrast, ability EI scores were positively correlated with the ALFF in the insula. Taken together, these results provide preliminary evidence of dissociable neural substrates between trait EI and ability EI.

Indexed as

BrainBrain MappingEmotional IntelligenceMagnetic Resonance ImagingRestAdolescentAdultEmotionsFemaleHumansMaleYoung AdultALFFEmotional intelligenceInsulavmPFC

Identifiers

PMID38472448
OpenAlexW4392682880

What OpenQuestion holds

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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.