ArticleScientific reports2018
The influence of spatial frequency content on facial expression processing: An ERP study using rapid serial visual presentation.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Distinct Visual Pathways of Threat Retrieval in Fear-Conditioned Faces.Psychophysiology · 2026Article
- Early or late distractions hurt working memory differently depending on how long you look.Scientific reports · 2025Article
- The differential impact of face distractors on visual working memory across encoding and delay stages.Attention, perception & psychophysics · 2024Article
- Recognizing facial expressions of emotion amid noise: A dynamic advantage.Journal of vision · 2024Article
- The Impact of Spatial Frequency on the Perception of Crowd Emotion: An fMRI Study.Brain sciences · 2023Article
- Potentiated early neural responses to fearful faces are not driven by specific face parts.Scientific reports · 2023Article
- Emotional Valence in the Eye Region Modulates the Attentional Blink in a Task-Dependent Manner: Evidence from Event-Related Potentials.Brain sciences · 2022Article
- High spatial frequencies disrupt conscious visual recognition: evidence from an attentional blink paradigm.Heliyon · 2022Article
- Perceptual enhancement and suppression correlate with V1 neural activity during active sensing.Current biology : CB · 2022Article
- Spatial frequency impacts perceptual and attentional ERP components across cultures.Brain and cognition · 2022Article
- The Predictive Role of Low Spatial Frequencies in Automatic Face Processing: A Visual Mismatch Negativity Investigation.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial frequency (SF) contents have been shown to play an important role in emotion perception. This study employed event-related potentials (ERPs) to explore the time course of neural dynamics involved in the processing of facial expression conveying specific SF information. Participants completed a dual-target rapid serial visual presentation (RSVP) task, in which SF-filtered happy, fearful, and neutral faces were presented. The face-sensitive N170 component distinguished emotional (happy and fearful) faces from neutral faces in a low spatial frequency (LSF) condition, while only happy faces were distinguished from neutral faces in a high spatial frequency (HSF) condition. The later P3 component differentiated between the three types of emotional faces in both LSF and HSF conditions. Furthermore, LSF information elicited larger P1 amplitudes than did HSF information, while HSF information elicited larger N170 and P3 amplitudes than did LSF information. Taken together, these results suggest that emotion perception is selectively tuned to distinctive SF contents at different temporal processing stages.
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