Literature DB >> 25594793

Processing of facial and nonsocial information is differentially associated with severity of symptoms in patients with multiepisode schizophrenia.

Emile Barkhof1, Leo M J de Sonneville, Carin J Meijer, Lieuwe de Haan.   

Abstract

Patients with schizophrenia show impairments in social cognitive abilities, such as recognizing facial emotions. However, the relation to symptoms remains unclear. The goal of this study was to explore whether facial emotion recognition and face identity recognition are associated with severity of symptoms and to which extent associations with symptoms differ for processing of social versus nonsocial information. Facial emotion recognition, face recognition, and abstract pattern recognition were evaluated in 98 patients with multiepisode schizophrenia. Severity of symptoms was measured using a five-factor model of the Positive and Negative Syndrome Scale. Results show that facial emotion recognition and, to a lesser extent, face recognition were predominantly associated with severity of disorganization symptoms. In contrast, recognition of nonsocial patterns was associated with negative symptoms, excitement, and emotional distress. Reaction time rather than accuracy of social cognition explained variance in symptomatology. These results lead to the conclusion that facial emotion processing in schizophrenia appears to be associated with severity of symptoms, especially disorganization.

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Year:  2015        PMID: 25594793     DOI: 10.1097/NMD.0000000000000246

Source DB:  PubMed          Journal:  J Nerv Ment Dis        ISSN: 0022-3018            Impact factor:   2.254


  2 in total

1.  Social Cognition Analyzer Application-A New Method for the Analysis of Social Cognition in Patients Diagnosed With Schizophrenia.

Authors:  Eszter Varga; Róbert Herold; Tamás Tényi; Szilvia Endre; Judit Fekete; Titusz Bugya
Journal:  Front Psychiatry       Date:  2019-12-20       Impact factor: 4.157

2.  CACNA1C risk variant affects facial emotion recognition in healthy individuals.

Authors:  Vanessa Nieratschker; Christof Brückmann; Christian Plewnia
Journal:  Sci Rep       Date:  2015-11-27       Impact factor: 4.379

  2 in total

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