Neural correlates of integration processes during dynamic face perception

Alp, Nihan and Özkan, Hüseyin (2022) Neural correlates of integration processes during dynamic face perception. Scientific Reports, 12 (1). ISSN 2045-2322

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Integrating the spatiotemporal information acquired from the highly dynamic world around us is essential to navigate, reason, and decide properly. Although this is particularly important in a face-to-face conversation, very little research to date has specifically examined the neural correlates of temporal integration in dynamic face perception. Here we present statistically robust observations regarding the brain activations measured via electroencephalography (EEG) that are specific to the temporal integration. To that end, we generate videos of neutral faces of individuals and non-face objects, modulate the contrast of the even and odd frames at two specific frequencies (f1 and f2) in an interlaced manner, and measure the steady-state visual evoked potential as participants view the videos. Then, we analyze the intermodulation components (IMs: (nf1 +/- mf2), a linear combination of the fundamentals with integer multipliers) that consequently reflect the nonlinear processing and indicate temporal integration by design. We show that electrodes around the medial temporal, inferior, and medial frontal areas respond strongly and selectively when viewing dynamic faces, which manifests the essential processes underlying our ability to perceive and understand our social world. The generation of IMs is only possible if even and odd frames are processed in succession and integrated temporally, therefore, the strong IMs in our frequency spectrum analysis show that the time between frames (1/60 s) is sufficient for temporal integration.
Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculty of Arts and Social Sciences
Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Arts and Social Sciences > Academic programs > Psychology
Faculty of Engineering and Natural Sciences
Depositing User: Nihan Alp
Date Deposited: 11 Feb 2022 11:58
Last Modified: 26 Aug 2022 09:25

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