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https://doi.org/10.1038/s41598-017-11754-4
| Title: | Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis | Authors: | Ding, X.P Wu, S.J Liu, J Fu, G Lee, K |
Keywords: | brain cortex brain region child cognition deception female honesty human major clinical study male nerve potential nervous system development school child theoretical study analysis of variance artificial neural network biological model brain deception nerve cell network physiology Analysis of Variance Brain Child Deception Female Humans Male Models, Neurological Nerve Net Neural Networks (Computer) |
Issue Date: | 2017 | Citation: | Ding, X.P, Wu, S.J, Liu, J, Fu, G, Lee, K (2017). Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis. Scientific Reports 7 (1) : 12085. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-017-11754-4 | Rights: | Attribution 4.0 International | 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. © 2017 The Author(s). | Source Title: | Scientific Reports | URI: | https://scholarbank.nus.edu.sg/handle/10635/178301 | ISSN: | 20452322 | DOI: | 10.1038/s41598-017-11754-4 | Rights: | Attribution 4.0 International |
| Appears in Collections: | Elements Staff Publications |
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