ArticleScientific reports2017
Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 30 citations in OpenAlex.
- Detecting Young Children's Deception Using Facial Expression Analysis With High Dimensional Statistical Methods.Developmental science · 2026Article
- Reputation risk during dishonest social decision-making modulates anterior insular and cingulate cortex activity and connectivity.Communications biology · 2023Article
- Brain language networks and cognitive outcomes in children with frontotemporal lobe epilepsy.Frontiers in human neuroscience · 2023Article
- The Role of Reward System in Dishonest Behavior: A Functional Near-Infrared Spectroscopy Study.Brain topography · 2021Article
- Neonatal brain resting-state functional connectivity imaging modalities.Photoacoustics · 2018Review
- Sophisticated Deception in Junior Middle School Students: An ERP Study.Frontiers in psychology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 3 countries.
Funding
Abstract
The present study examined how different brain regions interact with each other during spontaneous honest vs. dishonest communication. More specifically, we took a complex network approach based on the graph-theory to analyze neural response data when children are spontaneously engaged in honest or dishonest acts. Fifty-nine right-handed children between 7 and 12 years of age participated in the study. They lied or told the truth out of their own volition. We found that lying decreased both the global and local efficiencies of children's functional neural network. This finding, for the first time, suggests that lying disrupts the efficiency of children's cortical network functioning. Further, it suggests that the graph theory based network analysis is a viable approach to study the neural development of deception.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.