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Purpose: Attenuated positive symptoms constitute the most validated vulnerability marker for psychosis in non-autistic young adults. Early deviations in executive functioning and social cognition are believed to contribute to the onset of these symptoms. This study evaluates the presence of psychotic symptoms in autistic young adults and their putative cognitive precursors.
Methods: Thirty young adults diagnosed with an autism spectrum condition (ASC; M=20.1; 83.3% male) were assessed for psychotic symptoms. Their scores were compared to a typical peer comparison group (TC; M=22.1, 41.7% male) and, retrospectively, to their scores in childhood (M=12.1) to determine long term-stability. In addition, it was tested whether cognitive markers assessed in childhood could predict positive symptoms in young adulthood.
Results: There was significant and moderate evidence for more negative symptoms in young adults with ASC compared to TC, but no difference in positive or disorganized symptoms. Furthermore, positive and negative symptoms did not differ significantly over time and displayed weak correlations between both assessments, while disorganized symptoms showed a modest decrease and a significant correlation. In addition, response inhibition accuracy in childhood was a significant cognitive predictor of positive symptoms at follow-up.
Conclusions: Contrary to expectations, our results suggest that self-reported positive psychotic symptoms are not elevated in young adults with ASC. Psychotic symptoms remain relatively stable from childhood to young adulthood, although individual differences in symptom change are substantial. Response inhibition is a putative candidate risk marker for the development of positive symptoms in young, autistic adults that awaits further replication in large samples.
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http://dx.doi.org/10.1007/s10803-025-07015-3 | DOI Listing |
Biol Psychiatry Cogn Neurosci Neuroimaging
September 2025
Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland.
Background: Recent epidemiological evidence links early-life obesity and metabolic dysregulation to adult psychosis vulnerability, though a causal relationship remains unclear. Establishing causality in highly heritable psychotic disorders requires: 1) demonstrating that early-life metabolic factors mediate between genetic vulnerability and psychosis trajectory, 2) dissecting mechanisms leading to early-life obesity in genetically vulnerable individuals, and 3) clarifying downstream neurodevelopmental pathways linking early-life obesity to psychosis symptoms.
Methods: Here we investigated bidirectional pathways linking behavioral, BMI, and neurodevelopment trajectories in a unique longitudinal cohort of 184 individuals at high genetic risk for psychosis, due to 22q11.
Behav Modif
September 2025
University of California, Los Angeles, USA.
We examined the effects of combining cognitive training plus aerobic exercise versus cognitive training alone on positive symptoms in recent-onset schizophrenia patients. Sixty-eight participants were randomly assigned to Cognitive Training plus Exercise (CT&E, = 37) or Cognitive Training alone (CT, = 31). All participants were also randomly assigned to either oral risperidone or paliperidone palmitate (PP1M) in a concurrent antipsychotic medication study.
View Article and Find Full Text PDFSleep
September 2025
Department of Psychology, Royal Holloway, University of London, London, United Kingdom.
Study Objectives: Chronotype has been linked to a wide variety of psychiatric conditions. In particular, evening chronotype could be a transdiagnostic risk factor for different mental health difficulties. In this study we examine how chronotype relates to psychopathology and whether it can be conceptualised as part of the global construct of psychopathology (p-factor) by studying the genetic and environmental overlap between these variables.
View Article and Find Full Text PDFHum Brain Mapp
September 2025
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
Investigating neuroimaging data to identify brain-based markers of mental illnesses has gained significant attention. Nevertheless, these endeavors encounter challenges arising from a reliance on symptoms and self-report assessments in making an initial diagnosis. The absence of biological data to delineate nosological categories hinders the provision of additional neurobiological insights into these disorders.
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