Characterizing the shared signals of face familiarity: long-term acquaintance, voluntary control, and concealed knowledge

Dalski, Alexia; Kovacs, Gyula; Wiese, Holger; Ambrus, Geza Gergely

Abstract

In a recent study using cross-experiment multivariate classification of EEG patterns, we found evidence for a shared familiarity signal for faces, patterns of neural activity that successfully separate trials for familiar and unfamiliar faces across participants and modes of familiarization. Here, our aim was to expand upon this research to further characterize the spatio-temporal properties of this signal. By utilizing the information content present for incidental exposure to personally familiar and unfamiliar faces, we tested how the information content in the neural signal unfolds over time under different task demands – giving truthful or deceptive responses to photographs of genuinely familiar and unfamiliar individuals. For this goal, we re-analyzed data from two previously published experiments using within-experiment leave-one-subject-out and cross-experiment classification of face familiarity. We observed that the general face familiarity signal, consistent with its previously described spatio-temporal properties, is present for long-term personally familiar faces under passive viewing, as well as for acknowledged and concealed familiarity responses. Also, central-posterior regions contain information related to deception. We propose that signals in the 200–400 ms window are modulated by top-down task-related anticipation, while the patterns in the 400–600 ms window are influenced by conscious effort to deceive. To our knowledge, this is the first report describing the representational dynamics of concealed knowledge for faces, using time-resolved multivariate classification.

Citation

Dalski, A., Kovacs, G., Wiese, H., & Ambrus, G. G. (2022). Characterizing the shared signals of face familiarity: long-term acquaintance, voluntary control, and concealed knowledge. Brain Research, 1796, Article 148094. https://doi.org/10.1016/j.brainres.2022.148094

• Journal Article Type: Article
• Acceptance Date: Sep 12, 2022
• Online Publication Date: Sep 18, 2022
• Publication Date: Dec 1, 2022
• Deposit Date: Sep 16, 2022
• Publicly Available Date: Sep 20, 2022
• Journal: Brain Research
• Print ISSN: 0006-8993
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 1796
• Article Number: 148094
• DOI: https://doi.org/10.1016/j.brainres.2022.148094
• Public URL: https://durham-repository.worktribe.com/output/1191571