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Objectives: It is common for patients with schizophrenia to exhibit symptoms of autism. Both autism spectrum disorders and schizophrenia share similar patterns of empathy deficits. This study purposed to explore the association between autistic features and empathy in Chinese patients with chronic schizophrenia.
Methods: We enrolled 857 patients with chronic schizophrenia. The Positive and Negative Syndrome Scale (PANSS), Repeatable Battery for the Assessment of Neuropsychological 7 Status (RBANS), and Interpersonal Reactivity Index (IRI) were employed to assess the participants' clinical symptoms, neurocognition, and empathy, respectively. The severity of autistic symptoms was assessed with the PANSS Autism Severity Scale (PAUSS), with PAUSS scores ≥ 30 were considered to have significant autistic features.
Results: 114 schizophrenia patients (13.3%) had autistic features. Compared to schizophrenia patients without autistic features, those with autistic features had more severe clinical symptoms, and poorer neurocognition and empathic abilities. Female sex and empathic concerns were independently associated with autistic features in patients with chronic schizophrenia.
Conclusions: Our results suggest that autistic features tend to manifest quite commonly among patients with chronic schizophrenia. Empathy deficits are strongly associated with autistic features in patients with chronic schizophrenia, strengthening the view that autistic features may characterize a subgroup of schizophrenia patients.
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http://dx.doi.org/10.1007/s00702-024-02867-y | DOI Listing |
Front Psychiatry
August 2025
Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan.
Introduction: Accurately distinguishing individuals with autism spectrum disorder (ASD) from those with schizophrenia spectrum disorder (SSD) can be challenging, especially in individuals with an at-risk mental state (ARMS) for psychosis. Given the need for objective markers, we focused on mismatch negativity (MMN). This study aimed to determine whether ARMS individuals with ASD traits exhibit different MMN patterns compared to ARMS individuals without such traits and healthy controls.
View Article and Find Full Text PDFOphthalmol Sci
June 2025
Tschannen Eye Institute, University of California, Davis, Sacramento, California.
Objective: To assess retinal structures in patients with autism spectrum disorder (ASD) and its correlation with cognitive impairments and brain volumes.
Design: A retrospective case-control study.
Subjects: Adults with ASD and matched neurotypical controls were identified from the UK Biobank (UKBB).
Neuroinformatics
September 2025
Knight Foundation School of Computing and Information Sciences (KFSCIS), Florida International University, Miami, FL, USA.
Harmonizing multisite functional magnetic resonance imaging (fMRI) data is crucial for eliminating site-specific variability that hinders the generalizability of machine learning models. Traditional harmonization techniques, such as ComBat, depend on additive and multiplicative factors, and may struggle to capture the non-linear interactions between scanner hardware, acquisition protocols, and signal variations between different imaging sites. In addition, these statistical techniques require data from all the sites during their model training which may have the unintended consequence of data leakage for ML models trained using this harmonized data.
View Article and Find Full Text PDFChild Adolesc Ment Health
September 2025
The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Background: Autistic children experience significantly higher rates of anxiety compared to nonautistic children. The precise relations between autism characteristics and anxiety symptoms remain unclear in this population. Previous work has explored associations at the domain level, which involve examining broad categories or clusters of symptoms, rather than the relationships between specific symptoms and/or individual characteristics.
View Article and Find Full Text PDFGenes Brain Behav
October 2025
Université Côte D'azur, Valbonne - Sophia Antipolis, France.
Genetic variants of the SCN2A gene, encoding the Na1.2 sodium channel, cause a spectrum of neurodevelopmental and epileptic disorders, and are among those that show the strongest association with Autism Spectrum Disorder (ASD). ASD has a male-bias prevalence, but several studies have proposed that female prevalence may be underestimated due to different symptomatic expression compared with males.
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