Feeling our place in the world: an active inference account of self-esteem

Self-esteem, the evaluation of one's own worth or value, is a critical aspect of psychological well-being and mental health. In this paper, we propose an active inference account of self-esteem, casting it as a sociometer or an inferential capacity to interpret one's standing within a social group. This approach allows us to explore the interaction between an individual's self-perception and the expectations of their social environment.When there is a mismatch between these perceptions and expectations, the individual needs to adjust their actions or update their self-perception to better align with their current experiences. We also consider this hypothesis in relation with recent research on affective inference, suggesting that self-esteem enables the individual to track and respond to this discrepancy through affective states such as anxiety or positive affect. By acting as an inferential sociometer, self-esteem allows individuals to navigate and adapt to their social environment, ultimately impacting their psychological well-being and mental health.

Neural and computational processes underlying dynamic changes in self-esteem

Self-esteem is shaped by the appraisals we receive from others. Here, we characterize neural and computational mechanisms underlying this form of social influence. We introduce a computational model that captures fluctuations in self-esteem engendered by prediction errors that quantify the difference between expected and received social feedback. Using functional MRI, we show these social prediction errors correlate with activity in ventral striatum/subgenual anterior cingulate cortex, while updates in self-esteem resulting from these errors co-varied with activity in ventromedial prefrontal cortex (vmPFC). We linked computational parameters to psychiatric symptoms using canonical correlation analysis to identify an 'interpersonal vulnerability' dimension. Vulnerability modulated the expression of prediction error responses in anterior insula and insula-vmPFC connectivity during self-esteem updates. Our findings indicate that updating of self-evaluative beliefs relies on learning mechanisms akin to those used in learning about others. Enhanced insula-vmPFC connectivity during updating of those beliefs may represent a marker for psychiatric vulnerability.

Self-perceived attractiveness, romantic desirability and self-esteem: a mating sociometer perspective

Sociometer theory proposes that self-esteem is an adaptation which evolved to monitor and regulate interpersonal relationships. It is therefore sensitive to self-assessments in domains relevant to relational desirability. Positive relationships between self-perceived physical attractiveness and self-esteem found in previous studies may reflect the functioning of a mating sociometer, designed to monitor individuals' desirability as romantic or sexual partners. We thus predicted that these relationships should be mediated by self-perceptions of romantic desirability, or more specifically, individuals' confidence in their abilities to successfully establish and maintain romantic relationships. Two hundred and eighty seven young adults (98 male) completed an online measure of self-perceived attractiveness, together with measures of self-confidence in appearance and romantic relationships, body-esteem and global self-esteem. Linear regression analyses indicated that self-perceived attractiveness, self-confidence in appearance and body-esteem all significantly predicted self-esteem, and that in each case, the relationship was mediated by romantic self-confidence. Self-perceived attractiveness predicted self-esteem significantly more strongly in females than in males. We discuss these results in relation to sociometer and parental investment theories, and explore limitations and future directions.