Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence

Nir Moneta (), Mona M. Garvert, Hauke R. Heekeren and Nicolas W. Schuck ()
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Nir Moneta: Max Planck Institute for Human Development
Mona M. Garvert: Max Planck Institute for Human Development
Hauke R. Heekeren: Charité Universitätsmedizin Berlin
Nicolas W. Schuck: Max Planck Institute for Human Development

Nature Communications, 2023, vol. 14, issue 1, 1-21

Abstract: Abstract The ventromedial prefrontal-cortex (vmPFC) is known to contain expected value signals that inform our choices. But expected values even for the same stimulus can differ by task. In this study, we asked how the brain flexibly switches between such value representations in a task-dependent manner. Thirty-five participants alternated between tasks in which either stimulus color or motion predicted rewards. We show that multivariate vmPFC signals contain a rich representation that includes the current task state or context (motion/color), the associated expected value, and crucially, the irrelevant value of the alternative context. We also find that irrelevant value representations in vmPFC compete with relevant value signals, interact with task-state representations and relate to behavioral signs of value competition. Our results shed light on vmPFC’s role in decision making, bridging between its role in mapping observations onto the task states of a mental map, and computing expected values for multiple states.

Date: 2023
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DOI: 10.1038/s41467-023-38709-w

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