Literature DB >> 24442557

Emotion recognition from facial expressions: a normative study of the Ekman 60-Faces Test in the Italian population.

Alessandra Dodich1, Chiara Cerami, Nicola Canessa, Chiara Crespi, Alessandra Marcone, Marta Arpone, Sabrina Realmuto, Stefano F Cappa.   

Abstract

The Ekman 60-Faces (EK-60F) Test is a well-known neuropsychological tool assessing emotion recognition from facial expressions. It is the most employed task for research purposes in psychiatric and neurological disorders, including neurodegenerative diseases, such as the behavioral variant of Frontotemporal Dementia (bvFTD). Despite its remarkable usefulness in the social cognition research field, to date, there are still no normative data for the Italian population, thus limiting its application in a clinical context. In this study, we report procedures and normative data for the Italian version of the test. A hundred and thirty-two healthy Italian participants aged between 20 and 79 years with at least 5 years of education were recruited on a voluntary basis. They were administered the EK-60F Test from the Ekman and Friesen series of Pictures of Facial Affect after a preliminary semantic recognition test of the six basic emotions (i.e., anger, fear, sadness, happiness, disgust, surprise). Data were analyzed according to the Capitani procedure [1]. The regression analysis revealed significant effects of demographic variables, with younger, more educated, female subjects showing higher scores. Normative data were then applied to a sample of 15 bvFTD patients which showed global impaired performance in the task, consistently with the clinical condition. We provided EK-60F Test normative data for the Italian population allowing the investigation of global emotion recognition ability as well as selective impairment of basic emotions recognition, both for clinical and research purposes.

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Year:  2014        PMID: 24442557     DOI: 10.1007/s10072-014-1631-x

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  29 in total

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  18 in total

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7.  Right Limbic FDG-PET Hypometabolism Correlates with Emotion Recognition and Attribution in Probable Behavioral Variant of Frontotemporal Dementia Patients.

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10.  The Role of Single-Subject Brain Metabolic Patterns in the Early Differential Diagnosis of Primary Progressive Aphasias and in Prediction of Progression to Dementia.

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