Evidence map›Paper›PMID 29367402›Full record

ArticleProceedings. Biological sciences2018

Social brain volume is associated with in-degree social network size among older adults.

Seyul Kwak, Won-Tak Joo, Yoosik Youm, Jeanyung Chey

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–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

43 citing papers in PubMed.

  1. Article
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  6. Why friendship and loneliness affect our health.Annals of the New York Academy of Sciences · 2025
    Review
  7. Review
  8. Article
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  11. Associations Between Social Network Characteristics and Brain Structure Among Older Adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. Article
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  15. Review
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  20. Social Networks and Cognitive Reserve: Network Structure Moderates the Association Between Amygdalar Volume and Cognitive Outcomes.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022
    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

4 authors.

Seyul KwakDepartment of Psychology, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, South Korea.ORCID 0000-0001-6985-2680
Won-Tak JooDepartment of Sociology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-9684-793X
Yoosik YoumDepartment of Sociology, Yonsei University, Yonsei-ro 50, Seodaemun-gu, Seoul, South Korea yoosik@yonsei.ac.kr.ORCID 0000-0003-3822-5777
Jeanyung CheyDepartment of Psychology, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul, South Korea jychey@snu.ac.kr.ORCID 0000-0001-5371-7783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The social brain hypothesis proposes that large neocortex size evolved to support cognitively demanding social interactions. Accordingly, previous studies have observed that larger orbitofrontal and amygdala structures predict the size of an individual's social network. However, it remains uncertain how an individual's social connectedness reported by other people is associated with the social brain volume. In this study, we found that a greater in-degree network size, a measure of social ties identified by a subject's social connections rather than by the subject, significantly correlated with a larger regional volume of the orbitofrontal cortex, dorsomedial prefrontal cortex and lingual gyrus. By contrast, out-degree size, which is based on an individual's self-perceived connectedness, showed no associations. Meta-analytic reverse inference further revealed that regional volume pattern of in-degree size was specifically involved in social inference ability. These findings were possible because our dataset contained the social networks of an entire village, i.e. a global network. The results suggest that the in-degree aspect of social network size not only confirms the previously reported brain correlates of the social network but also shows an association in brain regions involved in the ability to infer other people's minds. This study provides insight into understanding how the social brain is uniquely associated with sociocentric measures derived from a global network.

Indexed as

Information DisseminationSocial NetworkingAgedAged, 80 and overBrainFemaleHumansMaleMiddle AgedOrgan SizeRepublic of Koreacomplete networkin-degreementalizingorbitofrontal cortexsocial brain hypothesissocial network size

Identifiers

PMID29367402
PMCPMC5805955

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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.