Self-Other Neural Representational Distinction is Associated with Distorted Social Predictions in Social Anxiety
- 1University of Macau
Abstract
Background: Social anxiety (SA) is characterized by distorted negative expectations about the future. Because optimism bias is inherently comparative, the extent to which these predictions reflect a fundamental disruption in self- versus other-referential processing remains poorly understood. Methods: Across two experiments, we investigated the mechanisms underlying social predictions in SA. In Experiment 1, individuals with high (n = 52, LSAS > 65) and low SA (n = 51, LSAS < 35) rated the future likelihood of positive and negative social outcomes for themselves or for a protagonist. In Experiment 2, 35 adults spanning a continuous spectrum of SA completed the task during fMRI. Behavior was analyzed using linear mixed-effects models. Neurally, multivariate pattern analysis (MVPA) quantified self-other representational distinctions, while a parametric general linear model (GLM) tracked neural sensitivity to likelihood predictions. Results: Behaviorally, higher SA was characterized by an attenuated optimism bias: individuals predicted a lower likelihood of positive outcomes, but a higher likelihood of negative outcomes, for themselves compared to others. Neurally, higher trait SA correlated with greater self-other representational distinction within the left pregenual anterior cingulate cortex (pgACC). Concurrently, the precuneus exhibited stronger parametric tracking of self-negative predictions versus others. Crucially, pgACC representational distinction during positive outcome processing significantly mediated the association between SA severity and heightened prediction-tracking in the precuneus. Conclusions: These findings offer a novel mechanistic framework, suggesting that an exaggerated neural segregation of the self from others drives hyper-vigilant, risk-sensitive social predictions in SA. This candidate circuit-level dynamic warrants further replication in clinical cohorts.
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BibTeX
@misc{qi2026selfother,
title = {{Self-Other Neural Representational Distinction is Associated with Distorted Social Predictions in Social Anxiety}},
author = {Y. Qi and Y. Chen and Y. Hu and Q. Fan and L. Wang and G. Yang and G. Hein and H. Wu},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.29.762906},
url = {https://www.biorxiv.org/content/10.64898/2026.10.29.762906v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - Self-Other Neural Representational Distinction is Associated with Distorted Social Predictions in Social Anxiety
AU - Y. Qi
AU - Y. Chen
AU - Y. Hu
AU - Q. Fan
AU - L. Wang
AU - G. Yang
AU - G. Hein
AU - H. Wu
PY - 2026
DA - 2026/10/29
PB - bioRxiv
DO - 10.64898/2026.10.29.762906
UR - https://www.biorxiv.org/content/10.64898/2026.10.29.762906v1
AB - Background: Social anxiety (SA) is characterized by distorted negative expectations about the future. Because optimism bias is inherently comparative, the extent to which these predictions reflect a fundamental disruption in self- versus other-referential processing remains poorly understood. Methods: Across two experiments, we investigated the mechanisms underlying social predictions in SA. In Experiment 1, individuals with high (n = 52, LSAS > 65) and low SA (n = 51, LSAS < 35) rated the future likelihood of positive and negative social outcomes for themselves or for a protagonist. In Experiment 2, 35 adults spanning a continuous spectrum of SA completed the task during fMRI. Behavior was analyzed using linear mixed-effects models. Neurally, multivariate pattern analysis (MVPA) quantified self-other representational distinctions, while a parametric general linear model (GLM) tracked neural sensitivity to likelihood predictions. Results: Behaviorally, higher SA was characterized by an attenuated optimism bias: individuals predicted a lower likelihood of positive outcomes, but a higher likelihood of negative outcomes, for themselves compared to others. Neurally, higher trait SA correlated with greater self-other representational distinction within the left pregenual anterior cingulate cortex (pgACC). Concurrently, the precuneus exhibited stronger parametric tracking of self-negative predictions versus others. Crucially, pgACC representational distinction during positive outcome processing significantly mediated the association between SA severity and heightened prediction-tracking in the precuneus. Conclusions: These findings offer a novel mechanistic framework, suggesting that an exaggerated neural segregation of the self from others drives hyper-vigilant, risk-sensitive social predictions in SA. This candidate circuit-level dynamic warrants further replication in clinical cohorts.
ER -