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Recognizing dynamic facial expressions of emotion: Specificity and intensity effects in event-related brain potentials.
Biol Psychol. 2014 Feb; 96:111-25.BP

Abstract

Emotional facial expressions usually arise dynamically from a neutral expression. Yet, most previous research focused on static images. The present study investigated basic aspects of processing dynamic facial expressions. In two experiments, we presented short videos of facial expressions of six basic emotions and non-emotional facial movements emerging at variable and fixed rise times, attaining different intensity levels. In event-related brain potentials (ERP), effects of emotion but also for non-emotional movements appeared as early posterior negativity (EPN) between 200 and 350ms, suggesting an overall facilitation of early visual encoding for all facial movements. These EPN effects were emotion-unspecific. In contrast, relative to happiness and neutral expressions, negative emotional expressions elicited larger late positive ERP components (LPCs), indicating a more elaborate processing. Both EPN and LPC amplitudes increased with expression intensity. Effects of emotion and intensity were additive, indicating that intensity (understood as the degree of motion) increases the impact of emotional expressions but not its quality. These processes can be driven by all basic emotions, and there is little emotion-specificity even when statistical power is considerable (N (Experiment 2)=102).

Authors+Show Affiliations

Department of Psychology, Humboldt-Universität zu Berlin, Germany; Institute of Psychology and Education, Ulm University, Germany. Electronic address: recio@hu-berlin.de.CRC Text Structures, University of Göttingen, Germany.Department of Psychology, Humboldt-Universität zu Berlin, Germany.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

24361701

Citation

Recio, Guillermo, et al. "Recognizing Dynamic Facial Expressions of Emotion: Specificity and Intensity Effects in Event-related Brain Potentials." Biological Psychology, vol. 96, 2014, pp. 111-25.
Recio G, Schacht A, Sommer W. Recognizing dynamic facial expressions of emotion: Specificity and intensity effects in event-related brain potentials. Biol Psychol. 2014;96:111-25.
Recio, G., Schacht, A., & Sommer, W. (2014). Recognizing dynamic facial expressions of emotion: Specificity and intensity effects in event-related brain potentials. Biological Psychology, 96, 111-25. https://doi.org/10.1016/j.biopsycho.2013.12.003
Recio G, Schacht A, Sommer W. Recognizing Dynamic Facial Expressions of Emotion: Specificity and Intensity Effects in Event-related Brain Potentials. Biol Psychol. 2014;96:111-25. PubMed PMID: 24361701.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Recognizing dynamic facial expressions of emotion: Specificity and intensity effects in event-related brain potentials. AU - Recio,Guillermo, AU - Schacht,Annekathrin, AU - Sommer,Werner, Y1 - 2013/12/19/ PY - 2012/12/03/received PY - 2013/10/21/revised PY - 2013/12/04/accepted PY - 2013/12/24/entrez PY - 2013/12/24/pubmed PY - 2014/9/30/medline KW - Dynamic facial expressions KW - Event-related potentials KW - Intensity KW - Rise time KW - Selective attention SP - 111 EP - 25 JF - Biological psychology JO - Biol Psychol VL - 96 N2 - Emotional facial expressions usually arise dynamically from a neutral expression. Yet, most previous research focused on static images. The present study investigated basic aspects of processing dynamic facial expressions. In two experiments, we presented short videos of facial expressions of six basic emotions and non-emotional facial movements emerging at variable and fixed rise times, attaining different intensity levels. In event-related brain potentials (ERP), effects of emotion but also for non-emotional movements appeared as early posterior negativity (EPN) between 200 and 350ms, suggesting an overall facilitation of early visual encoding for all facial movements. These EPN effects were emotion-unspecific. In contrast, relative to happiness and neutral expressions, negative emotional expressions elicited larger late positive ERP components (LPCs), indicating a more elaborate processing. Both EPN and LPC amplitudes increased with expression intensity. Effects of emotion and intensity were additive, indicating that intensity (understood as the degree of motion) increases the impact of emotional expressions but not its quality. These processes can be driven by all basic emotions, and there is little emotion-specificity even when statistical power is considerable (N (Experiment 2)=102). SN - 1873-6246 UR - https://www.unboundmedicine.com/medline/citation/24361701/Recognizing_dynamic_facial_expressions_of_emotion:_Specificity_and_intensity_effects_in_event_related_brain_potentials_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0301-0511(13)00250-0 DB - PRIME DP - Unbound Medicine ER -