Facial emotion recognition deficits in schizophrenia - a review of research and a model of pathogenesis
 
 
More details
Hide details
1
University of Szczecin
 
 
Submission date: 2022-04-08
 
 
Final revision date: 2022-08-23
 
 
Acceptance date: 2022-09-03
 
 
Online publication date: 2023-03-26
 
 
Publication date: 2023-03-22
 
 
Corresponding author
Dawid Subocz   

University of Szczecin
 
 
Arch Psych Psych 2023;25(1):24-32
 
KEYWORDS
TOPICS
ABSTRACT
Objective: The aim of the paper is to describe in detail the problems in the field of recognising emotional facial expressions in patients with schizophrenia. This paper also analyses studies and theoretical literature on the potential connections between deficits in recognition of emotional facial expressions and neuronal dysfunctions and attachment styles. Materials and method: The literature review was performed using the following databases: EBSCO, PsycINFO, PubMed, and Google Scholar. The databases were searched using the following keywords: ‘emotion’, ‘facial emotion’, ‘facial expression’. Those terms were combined with the words 'recognition', 'perception', 'genetic', 'attachment style' and each time with the term 'schizophrenia'. Results: The literature review clearly confirms that among people suffering from schizophrenia there are problems with recognising emotional facial expressions. Studies suggest that the visual perception of patients is related to the recognition of facial expressions. Studies also confirm the relationship of neuronal dysfunctions and genetic factors with the recognition of emotional facial expressions. Discussion and conclusions: The genesis of problems in recognising emotional facial expressions in patients with schizophrenia is multifactorial in nature. The influence of attachment styles on epigenetic mechanisms and the development of neural structures related to emotion recognition remains unverified. In the future, this study will allow for the creation of more accurate models of the pathogenesis of these deficits.
eISSN:2083-828X
ISSN:1509-2046
Journals System - logo
Scroll to top