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To circumvent these\nbiases, we used </a>connectome-based\npredictive modelling (CPM) on resting state functional connectivity\npatterns in combination with a novel task which inconspicuously measures voluntary cheating to\ngain access to the neurocognitive determinants of (dis)honesty. Specifically, we\ninvestigated whether task-independent neural patterns within the brain at rest\ncould be used to predict a propensity for (dis)honest behaviour. Our\nanalyses revealed that functional connectivity, especially between brain\nnetworks linked to self-referential thinking (vmPFC, temporal poles, and PCC)\nand reward processing (caudate nucleus), reliably correlates, in an independent\nsample, with participants’ propensity to cheat. Participants who cheated the\nmost also scored highest on several self-report measures of impulsivity which underscores\nthe generalizability of our results. Notably, when comparing neural and self-report measures, the neural measures\nwere found to be more important in predicting cheating propensity. </p><p><br></p><p>In this repository you can find the data and scripts used in the study. For detailed information please consult the README file.<br></p>"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Other"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Resting-State Fmri"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Morality"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Reward Anticipation"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Self-Referential Thinking"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Neuroscience"}}]},{"typeName":"topicClassification","multiple":true,"typeClass":"compound","value":[{"topicClassValue":{"typeName":"topicClassValue","multiple":false,"typeClass":"primitive","value":"Neurosciences Not Elsewhere Classified"}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"<p><p><p>If you use this dataset, please cite: Speer, Sebastian; Boksem, Maarten; Smidts, Ale (2021). Individual differences in (dis)honesty are represented in the brain’s functional connectivity at rest’. Erasmus University Rotterdam (EUR). Dataset. <a href=\"https://doi.org/10.25397/eur.17091323\" target=\"_blank\">https://doi.org/10.25397/eur.17091323</a><p>"},{"typeName":"distributionDate","multiple":false,"typeClass":"primitive","value":"2021-11-29"},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Speer, Sebastian"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2021-11-29"}]},"dansDataVaultMetadata":{"displayName":"Data Vault 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