Reduced stereotypicality and spared use of facial expression predictions for social evaluation in autism

• Marta Robles ^[1] ; Irene Ramos-Grille ^[1] ; Amaia Hervás ^[3] ; Enric Duran-Tauleria ^[4] ; Jordi Galiano-Landeira ^[1] ; Jolie B. Wormwood ^[2] ; Christine M. Falter-Wagner ^[5] ; Lorena Chanes ^[1]
  1. [1] Universitat Autònoma de Barcelona

     Universitat Autònoma de Barcelona

     Barcelona, España

     
  2. [2] University of New Hampshire

     University of New Hampshire

     Town of Durham, Estados Unidos

     
  3. [3] Hospital Universitari Mútua de Terrassa, Barcelona
  4. [4] Institut Global d'Atenció Integral del Neurodesenvolupament (IGAIN), Barcelona
  5. [5] LMU University Hospital, LMU Munich

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• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 24, Nº. 2, 2024, págs. 21-30
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2024.100440
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• Resumen

  • Background/Objective Autism has been investigated through traditional emotion recognition paradigms, merely investigating accuracy, thereby constraining how potential differences across autistic and control individuals may be observed, identified, and described. Moreover, the use of emotional facial expression information for social functioning in autism is of relevance to provide a deeper understanding of the condition.

    Method Adult autistic individuals (n = 34) and adult control individuals (n = 34) were assessed with a social perception behavioral paradigm exploring facial expression predictions and their impact on social evaluation.

    Results Autistic individuals held less stereotypical predictions than controls. Importantly, despite such differences in predictions, the use of such predictions for social evaluation did not differ significantly between groups, as autistic individuals relied on their predictions to evaluate others to the same extent as controls.

    Conclusions These results help to understand how autistic individuals perceive social stimuli and evaluate others, revealing a deviation from stereotypicality beyond which social evaluation strategies may be intact.

• Referencias bibliográficas
  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders. American Psychiatric Association. https://doi.org/10.1176/appi....
  • American Psychiatric Association. (2022). Diagnostic and statistical manual of mental disorders (Fifth Edition). American Psychiatric Association....
  • Barret, L. F. (2017). How emotions are made: The secret life of the brain. New York, NY: Houghton Mifflin Harcourt.
  • Barrett, L. F. (2017). The theory of constructed emotion: An active inference account of interoception and categorization. Social Cognitive...
  • Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019). Emotional expressions reconsidered: Challenges to...
  • Billieux, J., Rochat, L., Ceschi, G., Carre, A., Offerlin-Meyer, I., Defeldre, A. C., & Van der Linden, M. (2012). Validation of a short...
  • Cannon, J., O’Brien, A. M., Bungert, L., & Sinha, P. (2021). Prediction in autism spectrum disorder: A systematic review of empirical...
  • Chanes, L., Wormwood, J. B., Betz, N., & Barrett, L. F. (2018). Facial expression predictions as drivers of social perception. Journal...
  • Draganov, M., Galiano-Landeira, J., Doruk Camsari, D., Ramírez, J.-E., Robles, M., & Chanes, L. (2023). Noninvasive modulation of predictive...
  • Duran, J. I., & Fernandez-Dols, J.-M. (2021). Do emotions result in their predicted facial expressions? A meta-analysis of studies on...
  • Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological...
  • Fernandez-Dols, J.-M., & Crivelli, C. (2013). Emotion and expression: Naturalistic studies. Emotion Review, 5(1), 24–29. https://doi.org/10.1177/1754073912457229
  • Friston, K. (2005). A theory of cortical responses. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1456), 815–836....
  • Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11, 127–138. https://doi.org/10.1038/nrn2787
  • Friston, K. J., Lawson, R., & Frith, C. D. (2013). On hyperpriors and hypopriors: Comment on pellicano and burr. Trends in Cognitive Sciences,...
  • Gross, J. J., & John, O. P. (2003). Individual differences in two emotion regulation processes: Implications for affect, relationships,...
  • Hoekstra, R. A., Vinkhuyzen, A. A. E., Wheelwright, S., Bartels, M., Boomsma, D. I., Baron-Cohen, S., & van der Sluis, S. (2011). The...
  • Hoemann, K., Devlin, M., & Barrett, L. F. (2020). Comment: Emotions are abstract, conceptual categories that are learned by a predicting...
  • Lawson, R. P., Rees, G. F. K. J., & Friston, K. J. (2014). An aberrant precision account of autism. Frontiers in Human Neuroscience, 8(MAY)....
  • Lozier, L. M., Vanmeter, J. W., & Marsh, A. A. (2014). Impairments in facial affect recognition associated with autism spectrum disorders:...
  • Lugo-Marín, J., Díez-Villoria, E., Magan-Maganto, M., Perez-Mendez, L., Alviani, M., de la Fuente-Portero, J. A., & Canal-Bedia, R. (2019)....
  • Maenner, M. J., Shaw, K. A., Bakian, A. V, Bilder, D. A., Durkin, M. S., Esler, A., & Cogswell, M. E. (2021). Prevalence and characteristics...
  • Pellicano, E., & Burr, D. (2012). When the world becomes “too real”: A Bayesian explanation of autistic perception. Trends in Cognitive...
  • Quattrocki, E., & Friston, K. (2014). Autism, oxytocin and interoception. Neuroscience and Biobehavioral Reviews, 47, 410–430. https://doi.org/10.1016/j....
  • Ramos-Grille, I., Weyant, J., Wormwood, J. B., Robles, M., Vall`es, V., Camprodon, J. A., & Chanes, L. (2022). Predictive processing...
  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks,...
  • Santiesteban, I., Gibbard, C., Drucks, H., Clayton, N., Banissy, M. J., & Bird, G. (2021). Individuals with autism share others’ emotions:...
  • Sinha, P., Kjelgaard, M. M., Gandhi, T. K., Tsourides, K., Cardinaux, A. L., Pantazis, D., & Held, R. M. (2014). Autism as a disorder...
  • Smith, R., Badcock, P., & Friston, K. J. (2021). Recent advances in the application of predictive coding and active inference models within...
  • Tracy, J. L., & Randles, D. (2011). Four models of basic emotions: A review of Ekman and Cordaro, izard, Levenson, and Panksepp and watt....
  • Uljarevic, M., & Hamilton, A. (2013). Recognition of emotions in autism: A formal meta- analysis. Journal of Autism and Developmental...
  • van de Cruys, S., Evers, K., van der Hallen, R., van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014). Precise minds in uncertain...
  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS...
  • Wilson-Mendenhall, C. D., Barrett, L. F., & Barsalou, L. W. (2013). Neural evidence that human emotions share core affective properties....
  • Yeung, M. K. (2022). A systematic review and meta-analysis of facial emotion recognition in autism spectrum disorder: The specificity of deficits...
  • Yon, D., & Frith, C. D. (2021). Precision and the Bayesian brain. Current Biology, 31(17), R1026–R1032. https://doi.org/10.1016/j.cub.2021.07.044