Evidence map›Paper›PMID 33866460›Full record

ArticleBrain topography2021

Neuroanatomical Correlates of Social Intelligence Measured by the Guilford Test.

A Myznikov, M Zheltyakova, A Korotkov, M Kireev, R Masharipov, O Dz Jagmurov, U Habel, M Votinov

Abstract read
In one paragraph

Article in Brain topography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Neurocognitive Latent Space Regularization for Multi-Label Diagnosis from MRI.Predictive Intelligence in Medicine. PRIME (Workshop) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

A MyznikovN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
M ZheltyakovaN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
A KorotkovN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
M KireevN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
R MasharipovN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
O Dz JagmurovN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia.
U HabelInstitute of Neuroscience and Medicine 10, Research Centre Jülich, Jülich, Germany.
M VotinovN.P. Bechtereva Institute of Human Brain Russian Academy of Science, Saint-Petersburg, Russia. mvotinov@ukaachen.de.ORCID 0000-0001-6970-6093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social interactions are a crucial aspect of human behaviour. Numerous neurophysiological studies have focused on socio-cognitive processes associated with the so-called theory of mind-the ability to attribute mental states to oneself and others. Theory of mind is closely related to social intelligence defined as a set of abilities that facilitate effective social interactions. Social intelligence encompasses multiple theory of mind components and can be measured by the Four Factor Test of Social Intelligence (the Guilford-Sullivan test). However, it is unclear whether the differences in social intelligence are reflected in structural brain differences. During the experiment, 48 healthy right-handed individuals completed the Guilford-Sullivan test. T1-weighted structural MRI images were obtained for all participants. Voxel-based morphometry analysis was performed to reveal grey matter volume differences between the two groups (24 subjects in each)-with high social intelligence scores and with low social intelligence scores, respectively. Participants with high social intelligence scores had larger grey matter volumes of the bilateral caudate. The obtained results suggest the caudate nucleus involvement in the neural system of socio-cognitive processes, reflected by its structural characteristics.

Indexed as

CognitionGray MatterBrainEmotional IntelligenceHumansMagnetic Resonance ImagingCaudateSocial cognitionSocial intelligenceTheory of mindVoxel-based morphometry

Identifiers

PMID33866460
PMCPMC8099826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.