Individual differences in (dis)honesty are represented in the brain's functional connectivity at rest.
Neuroimage
; 246: 118761, 2022 02 01.
Article
em En
| MEDLINE
| ID: mdl-34861396
ABSTRACT
Measurement of the determinants of socially undesirable behaviors, such as dishonesty, are complicated and obscured by social desirability biases. To circumvent these biases, we used connectome-based predictive modeling (CPM) on resting state functional connectivity patterns in combination with a novel task which inconspicuously measures voluntary cheating to gain access to the neurocognitive determinants of (dis)honesty. Specifically, we investigated whether task-independent neural patterns within the brain at rest could be used to predict a propensity for (dis)honest behavior. Our analyses revealed that functional connectivity, especially between brain networks linked to self-referential thinking (vmPFC, temporal poles, and PCC) and reward processing (caudate nucleus), reliably correlates, in an independent sample, with participants' propensity to cheat. Participants who cheated the most also scored highest on several self-report measures of impulsivity which underscores the generalizability of our results. Notably, when comparing neural and self-report measures, the neural measures were found to be more important in predicting cheating propensity.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Imageamento por Ressonância Magnética
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Córtex Cerebral
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Conectoma
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Comportamento Impulsivo
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Individualidade
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Enganação
Tipo de estudo:
Prognostic_studies
Limite:
Adolescent
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Adult
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Female
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Humans
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Male
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article