Evidence map›Paper›PMID 41408556›Full record

ArticleBehavioral and brain functions : BBF2025

Brain network efficiency during social interaction is associated with real-world social network size.

Mengfei Han, Xin Liu, Yongcong Shao, Hanxiao Ge, Feifei Chen, Jiyuan Li, Letong Wang, Xiao Zhong, Yiwen Hu, Yuyang Zhu and 1 more

Abstract read
In one paragraph

Article in Behavioral and brain functions : BBF, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

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

11 authors.

Mengfei HanAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Xin LiuAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Yongcong ShaoSchool of Psychology, Beijing Sport University, Beijing, China.
Hanxiao GeAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Feifei ChenCollege of Education Science, Hubei Normal University, Hubei, China.
Jiyuan LiDepartment of Medical Imaging, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Letong WangSchool of Psychology, Beijing Sport University, Beijing, China.
Xiao ZhongMedical Psychological Center, The Second Xiangya Hospital, Central South University, Hunan, China.
Yiwen HuAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Yuyang ZhuAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China.
Liu YangAviation Psychology Research Office, Air Force Medical Center, Fourth Military Medical University, Beijing, China. yangliuhenry@aliyun.com.

Funding

National Natural Science Foundation of China 32300903Xinfei Project of Fourth Military Medical University LH202411Young Talents Training Project of Air Force Medical Center 22YXQNO48Youth Program of Humanities and Social Sciences Research of the Ministry of Education of China 24YJC190002
6 · The paper itself

Abstract

Social ties critically influence individual health and well-being, raising important questions about why some individuals occupy advantageous social network positions. While social cognition is known to play a key role, it remains unclear whether neural differences during social information processing is associated with variability in the social network structure. Using the Prisoner's Dilemma Game (PDG) combined with multilayered social network analysis, brain network analysis, and machine learning, we investigated how neural activation patterns relate to individual social network structures. The results revealed that individuals with a larger social network size were associated with (1) heightened nodal efficiency in the midcingulate cortex (MCC), (2) reduced efficiency in the inferior occipital gyrus (IOG), (3) enhanced functional connectivity between the anterior cingulate cortex-supplementary motor area (ACC-SMA) and olfactory-somatosensory regions, and (4) significantly negative predictive effects of nodal efficiency in both the IOG and hippocampus (as identified through machine learning). These findings demonstrate that efficient brain network organization, characterized by optimized integration in the cingulate cortex with a conflict monitoring function and selective suppression of visual attention and memory processing, is related to real-world social adaptation. Our study offers novel neurobiological insights into social networks, highlighting the crucial role of neural efficiency in social resource acquisition.

Indexed as

BrainNerve NetSocial InteractionSocial NetworkingAdultBrain MappingFemaleGyrus CinguliHumansMachine LearningMagnetic Resonance ImagingMaleNeural PathwaysPrisoner DilemmaYoung AdultBrain network analysisCingulate cortexfMRIMachine learningSocial network

Identifiers

PMID41408556
PMCPMC12829135

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.