ArticleNature communications2020
Social training reconfigures prediction errors to shape Self-Other boundaries.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Oxytocin modulates the neurocomputational mechanisms engaged in learning rank relationships in social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A computational signature of self-other mergence in Borderline Personality Disorder.Translational psychiatry · 2024Article
- Causal involvement of dorsomedial prefrontal cortex in learning the predictability of observable actions.Nature communications · 2024Article
- Early detection of dementia with default-mode network effective connectivity.Nature. Mental health · 2024Article
- Dopaminergic challenge dissociates learning from primary versus secondary sources of information.eLife · 2022Article
- Preference uncertainty accounts for developmental effects on susceptibility to peer influence in adolescence.Nature communications · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Selectively attributing beliefs to specific agents is core to reasoning about other people and imagining oneself in different states. Evidence suggests humans might achieve this by simulating each other's computations in agent-specific neural circuits, but it is not known how circuits become agent-specific. Here we investigate whether agent-specificity adapts to social context. We train subjects on social learning tasks, manipulating the frequency with which self and other see the same information. Training alters the agent-specificity of prediction error (PE) circuits for at least 24 h, modulating the extent to which another agent's PE is experienced as one's own and influencing perspective-taking in an independent task. Ventromedial prefrontal myelin density, indexed by magnetisation transfer, correlates with the strength of this adaptation. We describe a frontotemporal learning network, which exploits relationships between different agents' computations. Our findings suggest that Self-Other boundaries are learnable variables, shaped by the statistical structure of social experience.
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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.