Dalski Alexia, Kovács Gyula, Wiese Holger, Ambrus Géza Gergely
Department of Psychology, Philipps-Universität Marburg, D-35039 Marburg, Germany; Center for Mind, Brain and Behavior - CMBB, Philipps-Universität Marburg and Justus-Liebig-Universität Giessen, D-35039 Marburg, Germany.
Institute of Psychology, Friedrich Schiller University Jena, D-07743 Jena, Germany.
Brain Res. 2022 Dec 1;1796:148094. doi: 10.1016/j.brainres.2022.148094. Epub 2022 Sep 15.
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.
在最近一项使用脑电图模式交叉实验多变量分类的研究中,我们发现了面部存在共享熟悉度信号的证据,即神经活动模式能够成功区分参与者之间以及不同熟悉化模式下熟悉和不熟悉面孔的试验。在此,我们的目标是扩展这项研究,以进一步刻画该信号的时空特性。通过利用偶然接触个人熟悉和不熟悉面孔时所呈现的信息内容,我们测试了神经信号中的信息内容在不同任务需求下如何随时间展开——对真正熟悉和不熟悉个体的照片给出真实或欺骗性的回应。为实现这一目标,我们重新分析了来自之前发表的两项实验的数据,采用实验内留一法和面孔熟悉度的交叉实验分类。我们观察到,与之前描述的时空特性一致,在被动观看时,长期个人熟悉面孔以及认可和隐瞒的熟悉度反应中都存在一般面孔熟悉度信号。此外,中央后区域包含与欺骗相关的信息。我们提出,200 - 400毫秒窗口内的信号受自上而下与任务相关的预期调制,而400 - 600毫秒窗口内的模式受有意识欺骗努力的影响。据我们所知,这是第一篇使用时间分辨多变量分类描述面孔隐藏知识表征动态的报告。