https://doi.org/10.1140/epjs/s11734-025-01607-x
Regular Article
Brain functional connectivity network during deception: a visibility graph approach
1
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
2
Center for Research, SRM Easwari Engineering College, Chennai, India
3
Center for Cognitive Science, Trichy SRM Medical College Hospital and Research Center, Trichy, India
4
Center for Research, SRM TRP Engineering College, Trichy, India
Received:
21
January
2025
Accepted:
29
March
2025
Published online:
16
April
2025
Deception is a complex cognitive process involving coordinated activity across multiple brain regions. The detection of deception is vital in various fields, from forensic investigations to cognitive neuroscience. This study proposes a novel method for investigating brain functional connectivity in the context of deception detection. The brain functional connectivity network is constructed by correlating the degree sequences of visibility graphs (VG) derived from 33 EEG channels. Four graph-based features, consisting of average and deviation of strength, clustering coefficient, and modularity, are extracted from the constructed networks. A threshold is then applied to the weighted functional networks to compute binary networks. Additionally, three features based on average centrality (average degree centrality, average closeness centrality, and average betweenness centrality) are also extracted. Statistical analysis reveals significant differences between the extracted features, highlighting the effectiveness of the VG method in capturing the underlying brain dynamics involved in deception. It has been observed that while the local networks in the truth mode exhibit higher average degree compared to the lying mode, the degree values in the lying mode are more closely clustered, leading to a higher average degree in the lying mode. Moreover, the investigation of dynamic functional networks over time shows higher connectivity during deception compared to truth. Specific regions exhibit increased connectivity during deception, indicating that certain brain areas are more actively engaged in deceptive behavior. This novel approach introduces a new perspective on brain connectivity during deceptive behavior, with potential applications in future neuroscience research and practical implementations in deception detection.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
