Evidence map›Paper›PMID 29365199›Full record

ArticleSocial cognitive and affective neuroscience2018

Neurobiological correlates of emotional intelligence in voice and face perception networks.

Kathrin N Karle, Thomas Ethofer, Heike Jacob, Carolin Brück, Michael Erb, Martin Lotze, Sophia Nizielski, Astrid Schütz, Dirk Wildgruber, Benjamin Kreifelts

Open access · goldAbstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. A Neuroimaging Study of Personality Traits and Self-Reflection.Behavioral sciences (Basel, Switzerland) · 2019
    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

10 authors at 4 institutions in 1 country.

Kathrin N KarleDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
Thomas EthoferDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
Heike JacobDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
Carolin BrückDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
Michael ErbDepartment for Biomedical Magnetic Resonance, University of Tübingen, 72076 Tübingen, Germany.
Martin LotzeFunctional Imaging Group, Department for Diagnostic Radiology and Neuroradiology, University of Greifswald, 17475 Greifswald, Germany.
Sophia NizielskiDepartment of Psychology, Technical University Chemnitz, 09111 Chemnitz, Germany.
Astrid SchützDepartment of Psychology, University of Bamberg, 96045 Bamberg, Germany.
Dirk WildgruberDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
Benjamin KreifeltsDepartment of Psychiatry and Psychotherapy, University of Tübingen, 72076 Tübingen, Germany.
University of Tübingen · DEChemnitz University of Technology · DEUniversität Greifswald · DEUniversity of Bamberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facial expressions and voice modulations are among the most important communicational signals to convey emotional information. The ability to correctly interpret this information is highly relevant for successful social interaction and represents an integral component of emotional competencies that have been conceptualized under the term emotional intelligence. Here, we investigated the relationship of emotional intelligence as measured with the Salovey-Caruso-Emotional-Intelligence-Test (MSCEIT) with cerebral voice and face processing using functional and structural magnetic resonance imaging. MSCEIT scores were positively correlated with increased voice-sensitivity and gray matter volume of the insula accompanied by voice-sensitivity enhanced connectivity between the insula and the temporal voice area, indicating generally increased salience of voices. Conversely, in the face processing system, higher MSCEIT scores were associated with decreased face-sensitivity and gray matter volume of the fusiform face area. Taken together, these findings point to an alteration in the balance of cerebral voice and face processing systems in the form of an attenuated face-vs-voice bias as one potential factor underpinning emotional intelligence.

Indexed as

FaceSocial PerceptionVoiceAdultCerebral CortexEmotional IntelligenceFacial RecognitionFemaleGray MatterHumansIntelligence TestsMagnetic Resonance ImagingMaleVisual PerceptionYoung Adult

Identifiers

PMID29365199
PMCPMC5827352
OpenAlexW2793488277

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.