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- Title
Neurocomputational mechanisms of affected beliefs.
- Authors
Müller-Pinzler, Laura; Czekalla, Nora; Mayer, Annalina V.; Schröder, Alexander; Stolz, David S.; Paulus, Frieder M.; Krach, Sören
- Abstract
The feedback people receive on their behavior shapes the process of belief formation and self-efficacy in mastering a particular task. However, the neural and computational mechanisms of how the subjective value of self-efficacy beliefs, and the corresponding affect, influence the learning process remain unclear. We investigated these mechanisms during self-efficacy belief formation using fMRI, pupillometry, and computational modeling, and by analyzing individual differences in affective experience. Biases in the formation of self-efficacy beliefs were associated with affect, pupil dilation, and neural activity within the anterior insula, amygdala, ventral tegmental area/ substantia nigra, and mPFC. Specifically, neural and pupil responses mapped the valence of the prediction errors in correspondence with individuals' experienced affective states and learning biases during self-efficacy belief formation. Together with the functional connectivity dynamics of the anterior insula within this network, our results provide evidence for neural and computational mechanisms of how we arrive at affected beliefs. Analyses of learning mechanisms, pupillometry, and fMRI data from healthy participants in a cognitive estimation task reveal neural dynamics related to how self-efficacy beliefs are formed, as well as how this process is impacted by emotions.
- Subjects
PUPILLOMETRY; PUPILLARY reflex; SUBSTANTIA nigra; FUNCTIONAL connectivity; INDIVIDUAL differences; AFFECTIVE education; AMYGDALOID body
- Publication
Communications Biology, 2022, Vol 5, Issue 1, p1
- ISSN
2399-3642
- Publication type
Article
- DOI
10.1038/s42003-022-04165-3