Background: By studying behavior, cognitive abilities and brain functioning in adolescents at high risk for psychosis, we can gain an insight into the vulnerability markers or protective factors in the development of psychotic symptoms. Although many high-risk studies have focused on impairments in neurocognitive functions, such as memory and attention, very few studies have investigated problems in processing social cues such as facial expressions as a possible vulnerability marker for psychosis.
Method: Thirty-six adolescents at ultra-high risk (UHR) for psychosis and 21 non-clinical controls completed a face recognition test, a facial affect labeling test and an inhibitory control test. Schizotypal traits and schizophrenia symptoms were assessed using a schizotypy questionnaire and the Positive and Negative Syndrome Scale (PANSS).
Results: The UHR group showed impairments in labeling facial expressions of others, in addition to a spared ability to recognize facial identity. More specifically, the UHR group made more errors in labeling neutral expressions compared to the controls, and an analysis of error types indicated that neutral faces were misattributed as being angry. The degree of misattribution of neutral-as-angry faces correlated significantly with reduced inhibitory control.
Conclusions: Our findings suggest that misattributing social cues might contribute to vulnerability for psychosis. This social cognitive deficit may be related to problems in inhibitory control, which potentially plays an important role in the selection of appropriate social meaning. These findings may have relevance for understanding the mechanisms underlying prodromal social dysfunction, which should be targeted in future remediation interventions.
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http://dx.doi.org/10.1017/S0033291710000929 | DOI Listing |
Emotion
January 2025
Department of Psychology, University of New Hampshire.
We examined categorical processing biases in the perception and recognition of facial expressions of emotion across two studies. In both studies, participants first learned to discriminate between two ambiguous facial expressions of emotion selected from the middle of a continuous array of blended expressions (i.e.
View Article and Find Full Text PDFDev Biol
January 2025
The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, Victoria, 3052, Australia. Electronic address:
The MYST family histone acetyltransferase gene, KAT6B (MYST4, MORF, QKF) is mutated in two distinct human congenital disorders characterised by intellectual disability, facial dysmorphogenesis and skeletal abnormalities; Say-Barber-Biesecker-Young-Simpson variant of Ohdo syndrome and Genitopatellar syndrome. Despite its requirement in normal skeletal development, the cellular and transcriptional effects of KAT6B in skeletogenesis have not been thoroughly studied. Here, we show that germline deletion of the Kat6b gene in mice causes premature ossification in vivo, resulting in shortened craniofacial elements and increased bone density, as well as shortened tibias with an expanded pre-hypertrophic layer, as compared to wild type controls.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Liangzhu Laboratory, MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China; NHC and CAMS Key Laboratory of Medical Neurobiology, Zhejiang University, Hangzhou, China; Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address:
Previous research on major depressive disorder (MDD) has largely focused on cognitive biases and abnormalities in cortico-limbic circuitry during emotional face processing. However, it remains unclear whether these abnormalities start at early perceptual stages via subcortical pathways and how comorbid social anxiety influences this process. Here, we investigated subcortical mechanisms in emotional face processing using a psychophysical method that measures monocular advantage (i.
View Article and Find Full Text PDFRev Neurosci
January 2025
557765 Network of Neurosurgery and Artificial Intelligence (NONAI), Universal Scientific Education and Research Network (USERN ), Tehran, Iran.
The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring of neurodegenerative disorders. This narrative review critically examines the current state of AI-driven facial expression analysis in the context of neurodegenerative diseases, such as Alzheimer's and Parkinson's. We discuss the potential of AI techniques, including deep learning and computer vision, to accurately interpret and categorize subtle changes in facial expressions associated with these pathological conditions.
View Article and Find Full Text PDFSci Rep
January 2025
Guardian Robot Project, RIKEN, Kyoto, Japan.
Trust and rapport are essential abilities for human-robot interaction. Producing emotional expressions in the robots' faces is an effective way for that purpose. Androids can show human-like facial expressions of basic emotions.
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