ArticleHuman brain mapping2018
Spatiotemporal dynamics in human visual cortex rapidly encode the emotional content of faces.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- Neural dynamics of social verb processing: an MEG study.Social cognitive and affective neuroscience · 2025Article
- Article
- It's who, not what that matters: personal relevance and early face processing.Social cognitive and affective neuroscience · 2023Article
- Face processing in young adults with autism and ADHD: An event related potentials study.Frontiers in psychiatry · 2023Article
- Decoding the temporal dynamics of affective scene processing.NeuroImage · 2022Article
- Article
- Categorizing objects from MEG signals using EEGNet.Cognitive neurodynamics · 2022Article
- Neural activity changes in first-episode, drug-naïve patients with major depressive disorder after transcutaneous auricular vagus nerve stimulation treatment: A resting-state fMRI study.Frontiers in neuroscience · 2022Article
- Temporal uncertainty enhances suppression of neural responses to predictable visual stimuli.NeuroImage · 2021Article
- Envelope Following Response to 440 Hz Carrier Chirp-Modulated Tones Show Clinically Relevant Changes in Schizophrenia.Brain sciences · 2020Article
- Dynamic human and avatar facial expressions elicit differential brain responses.Social cognitive and affective neuroscience · 2020Article
- Spatiotemporal dynamics in human visual cortex rapidly encode the emotional content of faces.Human brain mapping · 2018Article
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Authors and funding
5 authors.
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Abstract
Recognizing emotion in faces is important in human interaction and survival, yet existing studies do not paint a consistent picture of the neural representation supporting this task. To address this, we collected magnetoencephalography (MEG) data while participants passively viewed happy, angry and neutral faces. Using time-resolved decoding of sensor-level data, we show that responses to angry faces can be discriminated from happy and neutral faces as early as 90 ms after stimulus onset and only 10 ms later than faces can be discriminated from scrambled stimuli, even in the absence of differences in evoked responses. Time-resolved relevance patterns in source space track expression-related information from the visual cortex (100 ms) to higher-level temporal and frontal areas (200-500 ms). Together, our results point to a system optimised for rapid processing of emotional faces and preferentially tuned to threat, consistent with the important evolutionary role that such a system must have played in the development of human social interactions.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.