In the current study, we used topological data analysis of fMRI data for exploring neurophysiological mechanisms underlying the execution of deceptive actions. We used the results of the analysis of psychophysiological interactions (PPI) of fMRI data, obtained during an earlier experiment where subjects were required to mislead an opponent through sequential execution of deceptive and honest claims. A connectivity matrix based on PPI analysis was processed with the methods of algebraic topology. With this approach, we confirmed our previous findings that the increase in local activity and psychophysiological interactions of the left caudate nucleus is associated with the execution of deceptive actions. It is also in line with our hypothesis that involvement of the left caudate nucleus in brain processing of deception reflects the process of activation of error detection mechanism. In contrast to this finding, the right caudate nucleus was most frequently observed in the selected cliques associated with honest actions in comparison with deceptive ones. This observation points to possible differential role of left and right caudate nuclei in processing deceptive and honest actions, so it can be further investigated in future research. Topological analysis of higher-order organization of functional interactions revealed three cycles encompassing different sets of brain regions. Those regions are associated with executive control, error detection and sociocognitive processes, involvement of which in deception execution was hypothesized in previous studies. The fact of observation of such loops of functionally integrated brain regions demonstrates the possibility of parallel functioning of above-mentioned mechanisms and substantially extends the current view on neurobiological basics of deceptive behavior.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer Nature
Pages868-879
Number of pages12
ISBN (Print)9783030366827
DOIs
StatePublished - 2020
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: 10 Dec 201912 Dec 2019

Publication series

NameStudies in Computational Intelligence
Volume882 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/TerritoryPortugal
CityLisbon
Period10/12/1912/12/19

    Scopus subject areas

  • Artificial Intelligence

    Research areas

  • Brain networks, Deception, Network neuroscience, Psychophysiological interactions, Topological data analysis

ID: 71875683