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How context influences the interpretation of facial expressions: a source localization high-density EEG study on the “Kuleshov effect”

Few studies have explored the specificities of contextual modulations of the processing of facial expressions at a neuronal level. This study fills this gap by employing an original paradigm, based on a version of the filmic “Kuleshov effect”. High-density EEG was recorded while participants watched...

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Detalles Bibliográficos
Autores principales: Calbi, Marta, Siri, Francesca, Heimann, Katrin, Barratt, Daniel, Gallese, Vittorio, Kolesnikov, Anna, Umiltà, Maria Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376122/
https://www.ncbi.nlm.nih.gov/pubmed/30765713
http://dx.doi.org/10.1038/s41598-018-37786-y
Descripción
Sumario:Few studies have explored the specificities of contextual modulations of the processing of facial expressions at a neuronal level. This study fills this gap by employing an original paradigm, based on a version of the filmic “Kuleshov effect”. High-density EEG was recorded while participants watched film sequences consisting of three shots: the close-up of a target person’s neutral face (Face_1), the scene that the target person was looking at (happy, fearful, or neutral), and another close-up of the same target person’s neutral face (Face_2). The participants’ task was to rate both valence and arousal, and subsequently to categorize the target person’s emotional state. The results indicate that despite a significant behavioural ‘context’ effect, the electrophysiological indexes still indicate that the face is evaluated as neutral. Specifically, Face_2 elicited a high amplitude N170 when preceded by neutral contexts, and a high amplitude Late Positive Potential (LPP) when preceded by emotional contexts, thus showing sensitivity to the evaluative congruence (N170) and incongruence (LPP) between context and Face_2. The LPP activity was mainly underpinned by brain regions involved in facial expressions and emotion recognition processing. Our results shed new light on temporal and neural correlates of context-sensitivity in the interpretation of facial expressions.