Studies have shown that persons with schizophrenia have lower accuracy in emotion recognition compared to persons without schizophrenia. However, the impact of the complexity level of the stimuli or the modality of presentation has not been extensively addressed. Forty three persons with a diagnosis of schizophrenia and 43 healthy controls, matched for age and gender, were administered tests assessing emotion recognition from stimuli with low and high levels of complexity presented via visual, auditory and semantic channels. For both groups, recognition rates were higher for high-complexity stimuli compared to low-complexity stimuli. Additionally, both groups obtained higher recognition rates for visual and semantic stimuli than for auditory stimuli, but persons with schizophrenia obtained lower accuracy than persons in the control group for all presentation modalities. Persons diagnosed with schizophrenia did not present a level of complexity specific deficit or modality-specific deficit compared to healthy controls. Results suggest that emotion recognition deficits in schizophrenia are beyond level of complexity of stimuli and modality, and present a global difficulty in cognitive functioning.
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http://dx.doi.org/10.1016/j.psychres.2016.04.015 | DOI Listing |
Cogn Neurodyn
December 2025
Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, TamilNadu India.
Emotion recognition plays a crucial role in brain-computer interfaces (BCI) which helps to identify and classify human emotions as positive, negative, and neutral. Emotion analysis in BCI maintains a substantial perspective in distinct fields such as healthcare, education, gaming, and human-computer interaction. In healthcare, emotion analysis based on electroencephalography (EEG) signals is deployed to provide personalized support for patients with autism or mood disorders.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.
Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
February 2025
Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Background: Cognitive training (CT) has been one of the important non-pharmaceutical interventions that could delay cognitive decline. Currently, no definite CT methods are available. Furthermore, little attention has been paid to the effect of CT on mood and instrumental activities of daily living (IADL).
View Article and Find Full Text PDFBrain Res
January 2025
epartment of Basic Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang 310015, China; Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang 310015, China. Electronic address:
Whisker deprivation at different stages of early development results in varied behavioral outcomes. However, there is a notable lack of systematic studies evaluating the specific effects of whisker deprivation from postnatal day 0 (P0) to P14 on adolescent behavioral performance in mice. To investigate these effects, C57BL/6J mice underwent whisker deprivation from P0 to P14 and were subsequently assessed at 5 weeks of age using a battery of tests: motor skills were evaluated using open field test; emotional behavior was evaluated using a series of anxiety- and depression-related behavioral tests; cognitive function was examined via novel location and object recognition tests; and social interactions were analyzed using three-chamber social interaction test.
View Article and Find Full Text PDFJ Integr Neurosci
January 2025
Department of Psychology, The Affiliated Hospital of Jiangnan University, 214151 Wuxi, Jiangsu, China.
Background: Deficits in emotion recognition have been shown to be closely related to social-cognitive functioning in schizophrenic. This study aimed to investigate the event-related potential (ERP) characteristics of social perception in schizophrenia patients and to explore the neural mechanisms underlying these abnormal cognitive processes related to social perception.
Methods: Participants included 33 schizophrenia patients and 35 healthy controls (HCs).
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