August 1, 2025Open Access

Neuromodulatory systems partially account for the topography of cortical networks of learning under uncertainty

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MAIN FINDING: Neuromodulatory systems play a role in the spatial organization of cortical networks involved in learning under uncertainty.
KEY EVIDENCE: Analysis of fMRI data across four studies revealed strong spatial invariance tied to the functional correlates of confidence.
APPROACH: The study utilized a Bayesian ideal observer model alongside PET receptor/transporter density maps for analysis.
SIGNIFICANCE: Findings may guide future experimental studies targeting specific receptors linked to learning processes.

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Implication

fMRI analysis reveals spatial invariance in learning-related activity across tasks, suggesting neuromodulatory systems influence outcomes under uncertainty.

Cite This Study

Hodapp et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfd21 https://doi.org/10.1101/2025.07.31.667879

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Implication

fMRI analysis reveals spatial invariance in learning-related activity across tasks, suggesting neuromodulatory systems influence outcomes under uncertainty.

Neuromodulatory systems partially account for the topography of cortical networks of learning under uncertainty

Key Points

Discussion

Implication

Cite This Study

Neuromodulatory systems partially account for the topography of cortical networks of learning under uncertainty

Key Points

Discussion

Implication

Cite This Study

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