ArticleNeuroImage2020
Functional brain network architecture supporting the learning of social networks in humans.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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.
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.
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Who cites it
22 citing papers in PubMed, 44 citations in OpenAlex.
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- Cognitive mechanisms underlying the recall of positive relationships in social networks.Scientific reports · 2026Article
- Neurobiological Signatures of Dyadic Transmission of Fear Extinction in Adolescent Trauma Exposure and Posttraumatic Stress.Biological psychiatry global open science · 2026Article
- Shared enemies as prosocial tool: how to infer positive relationships from negative relationships in social networks.BMC psychology · 2026Article
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- Neural and physiological correlates of parent-child observational threat extinction.Scientific reports · 2025Article
- Conversational linguistic features inform social-relational inference.Psychonomic bulletin & review · 2025Article
- Network structure influences the strength of learned neural representations.Nature communications · 2025Article
- TMS-induced modulation of brain networks and its associations to rTMS treatment for depression: a concurrent fMRI-EEG-TMS study.medRxiv : the preprint server for health sciences · 2024Article
- Interactions between neural representations of the social and spatial environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Social navigation modulates the anterior and posterior hippocampal circuits in the resting brain.Brain structure & function · 2023Article
- Effect of motor skills development on psychological and social traits of students of mazandaran province during the covid-19 pandemics.Sport sciences for health · 2023Article
- Optimizing the human learnability of abstract network representations.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The Anatomy of Friendship: Neuroanatomic Homophily of the Social Brain among Classroom Friends.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- The Social Cerebellum: A Large-Scale Investigation of Functional and Structural Specificity and Connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- From calcium imaging to graph topology.Network neuroscience (Cambridge, Mass.) · 2022Review
- Impact of exogenous estradiol on task-based and resting-state neural signature during and after fear extinction in healthy women.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Article
- Cognitive maps of social features enable flexible inference in social networks.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Fear extinction learning modulates large-scale brain connectivity.NeuroImage · 2021Article
- The growth and form of knowledge networks by kinesthetic curiosity.Current opinion in behavioral sciences · 2020Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structures to successfully navigate social relationships. Here we address this knowledge gap with an interdisciplinary neuroimaging study drawing on recent advances in network science and statistical learning. Specifically, we collected BOLD MRI data while participants learned the community structure of both social and non-social networks, in order to examine whether the learning of these two types of networks was differentially associated with functional brain network topology. We found that participants learned the community structure of the networks, as evidenced by a slower reaction time when a trial moved between communities than when a trial moved within a community. Learning the community structure of social networks was also characterized by significantly greater functional connectivity of the hippocampus and temporoparietal junction when transitioning between communities than when transitioning within a community. Furthermore, temporoparietal regions of the default mode were more strongly connected to hippocampus, somatomotor, and visual regions for social networks than for non-social networks. Collectively, our results identify neurophysiological underpinnings of social versus non-social network learning, extending our knowledge about the impact of social context on learning processes. More broadly, this work offers an empirical approach to study the learning of social network structures, which could be fruitfully extended to other participant populations, various graph architectures, and a diversity of social contexts in future studies.
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Registered trials
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.