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Latent-cause inference is the process of identifying features of the environment that have caused an outcome. This problem is especially important in social settings where individuals may not make equal contributions to the outcomes they achieve together. Here, we designed a novel task in which participants inferred which of two characters was more likely to have been responsible for outcomes achieved by working together. Using computational modeling, univariate and multivariate analysis of human fMRI, and continuous theta-burst stimulation, we identified two brain regions that solved the task. Notably, as each outcome occurred, it was possible to decode the inference of its cause (the responsible character) from hippocampal activity. Activity in dorsomedial prefrontal cortex (dmPFC) updated estimates of association between cause-responsible character-and the outcome. Disruption of dmPFC activity impaired participants' ability to update their estimate as a function of inferred responsibility but spared their ability to infer responsibility.

More information Original publication

DOI

10.1016/j.neuron.2024.09.001

Type

Journal article

Publication Date

2024-11-20T00:00:00+00:00

Volume

112

Pages

3796 - 3809.e9

Keywords

TMS, dorsomedial prefrontal cortex, hippocampus, latent-cause inference, Humans, Prefrontal Cortex, Male, Hippocampus, Magnetic Resonance Imaging, Female, Adult, Young Adult, Social Interaction, Brain Mapping