Literature DB >> 35760388

Reading language of the eyes.

Marina A Pavlova1, Arseny A Sokolov2.   

Abstract

The need for assessment of social skills in clinical and neurotypical populations has led to the widespread, and still increasing use of the 'Reading the Mind in the Eyes Test' (RMET) developed more than two decades ago by Simon Baron-Cohen and colleagues for evaluation of social cognition in autism. By analyzing most recent clinical and brain imaging data, we illuminate a set of factors decisive for using the RMET. Converging evidence indicates: (i) In neurotypical individuals, RMET scores are tightly correlated with other social skills (empathy, emotional intelligence, and body language reading); (ii) The RMET assesses recognition of facial affect, but also heavily relies on receptive language skills, semantic knowledge, and memory; (iii) RMET performance is underwritten by the large-scale ensembles of neural networks inside and well-outside the social brain; (iv) The RMET is limited in its capacity to differentiate between neuropsychiatric conditions as well as between stages and severity of a single disorder, though it reliably distinguishes individuals with altered social cognition or elevated pathological traits from neurotypical persons; (v) Merely gender (as a social construct) rather than neurobiological sex influences performance on the RMET; (vi) RMET scores do not substantially decline in healthy aging, and they are higher with higher education level, cognitive abilities, literacy, and mental well-being; (vii) Accuracy on the RMET, and engagement of the social brain, are greater when emotions are expressed and recognized by individuals with similar cultural/ethnic background. Further research is required to better inform usage of the RMET as a tool for swift and reliable examination of social cognition. In light of comparable visual input from the RMET images and faces covered by masks due to COVID-19 regulations, the analysis is of value for keeping efficient social interaction during the current pandemic, in particular, in professional settings related to social communication.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain imaging; Clinical studies; Facial affect; Gender and sex; Healthy aging; Neuropsychiatry; Reading the Mind in the Eyes Test (RMET); Social brain; Visual social cognition

Mesh:

Year:  2022        PMID: 35760388     DOI: 10.1016/j.neubiorev.2022.104755

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   9.052


  2 in total

1.  Ties between reading faces, bodies, eyes, and autistic traits.

Authors:  Marina A Pavlova; Valentina Romagnano; Julian Kubon; Sara Isernia; Andreas J Fallgatter; Alexander N Sokolov
Journal:  Front Neurosci       Date:  2022-09-28       Impact factor: 5.152

2.  COVID-19 and psychiatric disorders: The impact of face masks in emotion recognition face masks and emotion recognition in psychiatry.

Authors:  Andrea Escelsior; Maria Bianca Amadeo; Davide Esposito; Anna Rosina; Alice Trabucco; Alberto Inuggi; Beatriz Pereira da Silva; Gianluca Serafini; Monica Gori; Mario Amore
Journal:  Front Psychiatry       Date:  2022-09-27       Impact factor: 5.435

  2 in total

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