Background: Prader Willi Syndrome (PWS) is a genetic disorder caused by the absence of expression of the paternal copies of maternally imprinted gene(s) located at 15q11-q13. While the physical and medical characteristics of PWS, including short stature, hyperphagia and endocrine dysfunction are well-characterized, systematic investigation of the long-recognized psychiatric manifestations has been recent.
Methods: Here, we report on the first remote (web-based) assessment of neurobehavioral traits, including psychosis-risk symptoms (Prodromal Questionnaire-Brief Version; PQ-B) and sleep behaviors (Pittsburgh Sleep Quality Index), in a cohort of 128 participants with PWS, of whom 48% had a paternal deletion, 36% uniparental disomy, 2.4% an imprinting mutation and 13% unknown mutation (mean age 19.3 years ± 8.4; 53.9% female). We aimed to identify the most informative variables that contribute to psychosis-risk symptoms. Multiple domains of cognition (accuracy and speed) were also assessed in a subset of PWS participants ( = 39) using the Penn Computerized Neurocognitive Battery (Penn-CNB).
Results: Individuals with PWS reported a range of psychosis-risk symptoms, with over half reporting cognitive disorganization (63.1%) and about one third reporting unusual beliefs (38.6%) and/or suspiciousness (33.3%). Subjectively-reported sleep quality, nap frequency, sleep duration, sleep disturbance, and daytime dysfunction were significant predictors of psychosis-risk symptom frequency and severity (all < 0.029). Sleep disturbance ratings were the strongest predictors of psychosis-risk symptoms. Regarding cognition, individuals with PWS showed the most prominent deficits in accuracy on measures of social cognition involving faces, namely Face Memory, Age Differentiation and Emotion Recognition, and greatest slowing on measures of Attention and Emotion Recognition. However, there were no significant differences in psychosis-risk symptoms or cognitive performance as a function of PWS genetic subtype.
Conclusions: PWS is associated with a high prevalence of distressing psychosis-risk symptoms, which are associated with sleep disturbance. Findings indicate that self/parent-reported neurobehavioral symptoms and cognition can be assessed remotely in individuals with PWS, which has implications for future large-scale investigations of rare neurogenetic disorders.
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http://dx.doi.org/10.3389/fpsyt.2022.868536 | DOI Listing |
Epilepsy Res
December 2024
Department of Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada. Electronic address:
While the genetic architecture of epilepsy is complex and presumably polygenic in many cases, pathogenic variants have increasingly been identified, and this is perhaps best exemplified by the monogenic familial focal epilepsies. Although individuals with epilepsy (particularly focal epilepsy) are at increased risk of developing psychosis, little has been written on this topic in relation to monogenic familial focal epilepsy, specifically. As such, this systematic review aimed to characterize the phenomenology of psychosis (and response to antipsychotic therapy) in affected individuals.
View Article and Find Full Text PDFSchizophr Bull
December 2024
Department of Psychology, Northwestern University, Evanston, IL 60208, United States.
Background And Hypotheses: The lack of psychometrically validated assessment tools designed specifically to assess negative symptoms in individuals at clinical high risk (CHR) for psychosis represents a significant barrier to the early identification and prevention of psychosis. To address this need, the Negative Symptom Inventory-Psychosis Risk (NSI-PR) was developed based on the iterative, data-driven approach recommended by the National Institute of Mental Health consensus conference on negative symptoms.
Study Design: This manuscript reports the results of the second study phase that psychometrically validates the final 11-item version of the scale in data collected across 3 sites.
BJPsych Open
December 2024
University Hospital of Child and Adolescent Psychiatry and Psychotherapy Bern, University of Bern, Switzerland.
Br J Psychiatry
December 2024
School of Public Policy and Department of Sociology, University of California, Riverside, USA.
Adv Neurobiol
November 2024
Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.
Over the last several decades, there have been major research efforts to improve the identification of youth and young adults at clinical high-risk for psychosis (CHR-P). Among individuals identified as CHR-P based on clinical criteria, approximately 20% progress to full-blown psychosis over 2-3 years and 30% achieve remission. In more recent years, neurophysiological measures with established sensitivity to schizophrenia have gained traction in the study of CHR-P and its range of clinical outcomes, with the goal of identifying specific biomarkers that precede psychosis onset that 7 chapter, we review studies examining several translational electroencephalography (EEG) and event-related potential (ERP) measures, which have known sensitivity to schizophrenia and reflect abnormal sensory, perceptual, and cognitive processing of task stimuli, as predictors of future clinical outcomes in CHR-P individuals.
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