Neurocomputational mechanisms engaged in detecting cooperative and competitive intentions of others

Neurocomputational mechanisms engaged in detecting cooperative and competitive intentions of others | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Neurocomputational mechanisms engaged in detecting cooperative and competitive intentions of others Rémi Philippe, Rémi Janet, Koosha Khalvati, Rajesh Rao, Daeyeol Lee, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1160167/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 12 Apr, 2024 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Abstract Humans frequently interact with other agents whose intentions can fluctuate over time between competitive and cooperative strategies. How does the brain decide whether the others’ intentions are to cooperate or compete when the nature of the interactions is not explicitly signaled? We used model-based fMRI and a task in which participants thought they were playing with another player. In fact, this agent was an algorithm alternating without signaling between cooperative and competitive strategies. A neurocomputational mechanism underlying arbitration between competitive and cooperative experts outperforms other learning models in predicting choice behavior. The ventral striatum and ventromedial prefrontal cortex tracked the reliability of this arbitration process. When attributing competitive intentions, these regions increased their coupling with a network that distinguish prediction error related to competition versus cooperation. These findings provide a neurocomputational account of how the brain dynamically arbitrates between cooperative and competitive intentions when making adaptive social decisions. Full Text Declarations This study was approved by the Institutional Review Board of the french ethics committee EST-II (PP 18/592, ANSM 2018-A01135-50). Additional Declarations There is NO Competing Interest. Supplementary Files SIRPJCD.pdf Supplementary Information Cite Share Download PDF Status: Published Journal Publication published 12 Apr, 2024 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1160167","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":77209379,"identity":"45ec63cf-81a0-419f-a266-8b677e516b7d","order_by":0,"name":"Rémi Philippe","email":"","orcid":"https://orcid.org/0000-0003-2894-7688","institution":"CNRS - Institut des Sciences Cognitives Marc Jeannerod","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Rémi","middleName":"","lastName":"Philippe","suffix":""},{"id":77209380,"identity":"f4d8c0f8-bd3b-4de4-9046-c4f9f0612d46","order_by":1,"name":"Rémi Janet","email":"","orcid":"","institution":"CNRS, Institut des Sciences Cognitives Marc Jeannerod","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Rémi","middleName":"","lastName":"Janet","suffix":""},{"id":77209381,"identity":"c0025ecd-e88d-4d74-9589-e5d2f1fe08e0","order_by":2,"name":"Koosha Khalvati","email":"","orcid":"","institution":"Paul G. 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