Steady-state visual evoked potentials as a research tool in social affective neuroscience.

Publisher: Blackwell Country of Publication: United States NLM ID: 0142657 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1469-8986 (Electronic) Linking ISSN: 00485772 NLM ISO Abbreviation: Psychophysiology Subsets: MEDLINE

Publication: Malden, MA : Blackwell
Original Publication: Baltimore, Williams & Wilkins.

Evoked Potentials, Visual* ; Social Behavior* ; Social Perception*; Affect/*physiology ; Brain Mapping/*methods ; Visual Cortex/*physiology ; Visual Perception/*physiology; Attention/physiology ; Brain/physiology ; Cues ; Electroencephalography ; Facial Recognition/physiology ; Humans ; Magnetic Resonance Imaging ; Photic Stimulation ; Signal Processing, Computer-Assisted

Like many other primates, humans place a high premium on social information transmission and processing. One important aspect of this information concerns the emotional state of other individuals, conveyed by distinct visual cues such as facial expressions, overt actions, or by cues extracted from the situational context. A rich body of theoretical and empirical work has demonstrated that these socioemotional cues are processed by the human visual system in a prioritized fashion, in the service of optimizing social behavior. Furthermore, socioemotional perception is highly dependent on situational contexts and previous experience. Here, we review current issues in this area of research and discuss the utility of the steady-state visual evoked potential (ssVEP) technique for addressing key empirical questions. Methodological advantages and caveats are discussed with particular regard to quantifying time-varying competition among multiple perceptual objects, trial-by-trial analysis of visual cortical activation, functional connectivity, and the control of low-level stimulus features. Studies on facial expression and emotional scene processing are summarized, with an emphasis on viewing faces and other social cues in emotional contexts, or when competing with each other. Further, because the ssVEP technique can be readily accommodated to studying the viewing of complex scenes with multiple elements, it enables researchers to advance theoretical models of socioemotional perception, based on complex, quasinaturalistic viewing situations.
(© 2016 Society for Psychophysiological Research.)

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R01 MH097320 United States MH NIMH NIH HHS; R03 MH105716 United States MH NIMH NIH HHS

Keywords: EEG; Facial expression; Frequency tagging; Social neuroscience; Socioemotional perception; Visual cortex; ssVEPs

Date Created: 20161005 Date Completed: 20170518 Latest Revision: 20181113

20250114

PMC5582350

10.1111/psyp.12768

27699794