Background: Patients with schizophrenia show impairments in social information processing, such as recognising facial emotions and face identity.
Goal: The aim of this study was to explore whether these impairments represent specific deficits or are part of a more general cognitive dysfunction.
Method: Forty-two patients with schizophrenia and 42 matched controls were compared on facial emotion and face identity recognition versus (non-social) abstract pattern recognition, using three tasks of the Amsterdam Neuropsychological Tasks (ANT) program.
Results: Patients were slower than controls in social information processing as well as in (non-social) abstract pattern recognition. Patients were also less accurate than controls in processing social information, but not in recognition of abstract patterns. Differences between patients and controls were most substantial for facial emotion recognition compared to both face identity recognition (speed) and non-social pattern recognition (speed and accuracy). Finally, differences between patients and controls were largest for the recognition of negative emotions.
Conclusion: Compared to controls patients with schizophrenia displayed more difficulties in processing of social information compared to non-social information. These results support the hypothesis that facial emotion recognition impairment is a relatively distinct entity within the domain of cognitive dysfunction in schizophrenia.
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http://dx.doi.org/10.1016/j.scog.2015.01.001 | DOI Listing |
Sensors (Basel)
December 2024
Department of Information and Electronic Engineering, International Hellenic University, 57001 Thessaloniki, Greece.
Recent advances in emotion recognition through Artificial Intelligence (AI) have demonstrated potential applications in various fields (e.g., healthcare, advertising, and driving technology), with electroencephalogram (EEG)-based approaches demonstrating superior accuracy compared to facial or vocal methods due to their resistance to intentional manipulation.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Graduate Institute of Biomedical Sciences, China Medical University, Taichung 404, Taiwan.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social interaction and communication. While many studies suggest that individuals with ASD struggle with emotion processing, the association between emotion processing and autistic traits in non-clinical populations is still unclear. We examine whether neurotypical adults' facial emotion recognition and expression imitation are associated with autistic traits.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Maxillofacial Surgery, University of Siena, 53100 Siena, Italy.
: Currently, there is a lack of a comprehensive classification system for soft-palate defects that provides synthetic information to guide functional reconstructive treatment. Our awareness, shaped by extensive experience, of the superiority of myomucosal flaps to fasciocutaneous flaps in functional palate reconstruction has driven us to introduce a new defect-based classification system and propose a new algorithm for reconstructing soft-palate defects using buccinator myomucosal flaps. : Soft-palate defects were classified into five classes.
View Article and Find Full Text PDFChildren (Basel)
November 2024
Stella Maris Mediterraneo Foundation, 85032 Chiaromonte, Italy.
: Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental condition characterized by social communication impairments and repetitive behaviors. Recent reports show that one in thirty-six 8-year-old children are autistic, signifying a considerable public health concern. According to previous studies, emotional dysregulation (ED) affects 50-60% of individuals with ASD and includes symptoms such as poor emotional control, heightened reactivity, and a low frustration tolerance.
View Article and Find Full Text PDFChildren (Basel)
November 2024
Department of Clinical Pharmacy, Saarland University, 66123 Saarbruecken, Germany.
Adverse childhood experiences (ACEs) have already been associated, in some studies, with various diverse psychosocial abnormalities in later life. However, it is still unclear whether ACEs reported by biological parents differ from ACE scores in community samples. : The aim of this study was to investigate the extent to which parents of a patient sample differ from a community sample in terms of reporting childhood experiences.
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