The Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, United States; Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
Sylvia Blackmore
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States; Queen Square Institute of Neurology, University College London, London, United Kingdom
Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, United States; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States
The controllability of our social environment has a profound impact on our behavior and mental health. Nevertheless, neurocomputational mechanisms underlying social controllability remain elusive. Here, 48 participants performed a task where their current choices either did (Controllable), or did not (Uncontrollable), influence partners’ future proposals. Computational modeling revealed that people engaged a mental model of forward thinking (FT; i.e., calculating the downstream effects of current actions) to estimate social controllability in both Controllable and Uncontrollable conditions. A large-scale online replication study (n=1342) supported this finding. Using functional magnetic resonance imaging (n=48), we further demonstrated that the ventromedial prefrontal cortex (vmPFC) computed the projected total values of current actions during forward planning, supporting the neural realization of the forward-thinking model. These findings demonstrate that humans use vmPFC-dependent FT to estimate and exploit social controllability, expanding the role of this neurocomputational mechanism beyond spatial and cognitive contexts.