Evidence map›Paper›PMID 30050487›Full record

ArticleFrontiers in psychology2018

Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials.

Anne Guérin-Dugué, Raphaëlle N Roy, Emmanuelle Kristensen, Bertrand Rivet, Laurent Vercueil, Anna Tcherkassof

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Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Anne Guérin-DuguéGIPSA-lab, Institute of Engineering, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble INP, Grenoble, France.
Raphaëlle N RoyDepartment of Conception and Control of Aeronautical and Spatial Vehicles, Institut Supérieur de l'Aéronautique et de l'Espace, Université Fédérale de Toulouse, Toulouse, France.
Emmanuelle KristensenGIPSA-lab, Institute of Engineering, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble INP, Grenoble, France.
Bertrand RivetGIPSA-lab, Institute of Engineering, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Grenoble INP, Grenoble, France.
Laurent VercueilExploration Fonctionnelle du Système Nerveux, Pôle Psychiatrie, Neurologie et Rééducation Neurologique, CHU Grenoble Alpes, Grenoble, France.
Anna TcherkassofLaboratoire InterUniversitaire de Psychologie - Personnalité, Cognition, Changement Social, Université Grenoble Alpes, Université Savoie Mont Blanc, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims at examining the precise temporal dynamics of the emotional facial decoding as it unfolds in the brain, according to the emotions displayed. To characterize this processing as it occurs in ecological settings, we focused on unconstrained visual explorations of natural emotional faces (i.e., free eye movements). The General Linear Model (GLM; Smith and Kutas, 2015a,b; Kristensen et al., 2017a) enables such a depiction. It allows deconvolving adjacent overlapping responses of the eye fixation-related potentials (EFRPs) elicited by the subsequent fixations and the event-related potentials (ERPs) elicited at the stimuli onset. Nineteen participants were displayed with spontaneous static facial expressions of emotions (Neutral, Disgust, Surprise, and Happiness) from the DynEmo database (Tcherkassof et al., 2013). Behavioral results on participants' eye movements show that the usual diagnostic features in emotional decoding (eyes for negative facial displays and mouth for positive ones) are consistent with the literature. The impact of emotional category on both the ERPs and the EFRPs elicited by the free exploration of the emotional faces is observed upon the temporal dynamics of the emotional facial expression processing. Regarding the ERP at stimulus onset, there is a significant emotion-dependent modulation of the P2-P3 complex and LPP components' amplitude at the left frontal site for the ERPs computed by averaging. Yet, the GLM reveals the impact of subsequent fixations on the ERPs time-locked on stimulus onset. Results are also in line with the valence hypothesis. The observed differences between the two estimation methods (Average vs. GLM) suggest the predominance of the right hemisphere at the stimulus onset and the implication of the left hemisphere in the processing of the information encoded by subsequent fixations. Concerning the first EFRP, the Lambda response and the P2 component are modulated by the emotion of surprise compared to the neutral emotion, suggesting an impact of high-level factors, in parieto-occipital sites. Moreover, no difference is observed on the second and subsequent EFRP. Taken together, the results stress the significant gain obtained in analyzing the EFRPs using the GLM method and pave the way toward efficient ecological emotional dynamic stimuli analyses.

Indexed as

emotional facial expressionevent-related potentialeye fixation-related potentialGeneral Linear Modelnatural facestemporal dynamics

Identifiers

PMID30050487
PMCPMC6052106

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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.