ArticleBehavioral and brain functions : BBF2015
Decoding the processing of lying using functional connectivity MRI.
Article in Behavioral and brain functions : BBF, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Functional Connectivity Pattern Analysis Underlying Neural Oscillation Synchronization during Deception.Neural plasticity · 2019Trial
- Sorting Insiders From Co-Workers: Remote Synchronous Computer-Mediated Triage for Investigating Insider Attacks.Human factors · 2024Article
- Reputation risk during dishonest social decision-making modulates anterior insular and cingulate cortex activity and connectivity.Communications biology · 2023Article
- The role of conflict processing mechanism in deception responses.Scientific reports · 2022Article
- Neurotoxic effects of aluminium exposure as a potential risk factor for Alzheimer's disease.Pharmacological reports : PR · 2022Review
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- Neural mechanisms of deception in a social context: an fMRI replication study.Scientific reports · 2020Article
- Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.Scientific reports · 2017Article
- Deceptive but Not Honest Manipulative Actions Are Associated with Increased Interaction between Middle and Inferior Frontal gyri.Frontiers in neuroscience · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious functional MRI (fMRI) studies have demonstrated group differences in brain activity between deceptive and honest responses. The functional connectivity network related to lie-telling remains largely uncharacterized.
methodsIn this study, we designed a lie-telling experiment that emphasized strategy devising. Thirty-two subjects underwent fMRI while responding to questions in a truthful, inverse, or deceitful manner. For each subject, whole-brain functional connectivity networks were constructed from correlations among brain regions for the lie-telling and truth-telling conditions. Then, a multivariate pattern analysis approach was used to distinguish lie-telling from truth-telling based on the functional connectivity networks.
resultsThe classification results demonstrated that lie-telling could be differentiated from truth-telling with an accuracy of 82.81% (85.94% for lie-telling, 79.69% for truth-telling). The connectivities related to the fronto-parietal networks, cerebellum and cingulo-opercular networks are most discriminating, implying crucial roles for these three networks in the processing of deception.
conclusionsThe current study may shed new light on the neural pattern of deception from a functional integration viewpoint.
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