Por favor, use este identificador para citar o enlazar este ítem: https://repositorio.uca.edu.ar/handle/123456789/19044
Título: Facial and emotion recognition deficits in myasthenia gravis
Autor: García Sanchoyerto, Maddalen 
Salgueiro, Mónika 
Ortega, Javiera 
Rodríguez, Alicia Aurora 
Parada Fernández, Pamela 
Amayra Caro, Imanol 
Palabras clave: MIASTENIA GRAVISDETERIORO COGNITIVOENFERMEDADES AUTOINMUNESDEBILIDAD MUSCULARFATIGAANSIEDADDEPRESIONRECONOCIMIENTO FACIAL DE EMOCIONES
Fecha de publicación: 2024
Editorial: Multidisciplinary Digital Publishing Institute
Resumen: Myasthenia gravis (MG) is a neuromuscular disease of autoimmune etiology and chronic evolution. In addition to the muscle weakness and fatigue that characterize MG, in some studies patients show an inferior performance in cognitive tasks and difficulties in recognizing basic emotions from facial expressions. However, it remains unclear if these difficulties are due to anxious–depressive symptoms that these patients present or related to cognitive abilities, such as facial recognition. This study had a descriptive cross-sectional design with a sample of 92 participants, 52 patients with MG and 40 healthy controls. The data collection protocol included measures to assess recognition of facial expressions (BRFT), facial emotional expression (FEEL), and levels of anxiety and depression (HADS). The MG group had worse performance than the control group in recognizing “fear” (p = 0.001; r = 0.344), “happiness” (p = 0.000; r = 0.580), “disgust” (p = 0.000; r = 0.399), “surprise” (p = 0.000; r = 0.602), and “anger” (p = 0.007; r = 0.284). Likewise, the MG group also underperformed in facial recognition (p = 0.001; r = 0.338). These difficulties were not related to their levels of anxiety and depression. Alterations were observed both in the recognition of facial emotions and in facial recognition, without being mediated by emotional variables. These difficulties can influence the interpersonal interaction of patients with MG.
URI: https://repositorio.uca.edu.ar/handle/123456789/19044
ISSN: 2227-9032
Disciplina: PSICOLOGIA
DOI: 10.3390/healthcare12161582
Derechos: Atribución 4.0 Internacional
Fuente: Healthcare. 2024, 12 (1582)
Aparece en las colecciones: Artículos

Ficheros en este ítem:
Fichero Descripción Tamaño Formato
facial-emotion-recognition.pdf315,2 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro Dublin Core completo del ítem

Google ScholarTM

Ver en Google Scholar


Altmetric

Altmetric


Este ítem está sujeto a una Licencia Creative Commons Creative Commons