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Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis.
JMIR Ment Health
January 2025
Division of Psychology and Mental Health, University of Manchester, Manchester, United Kingdom.
Background: Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.
Objective: This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.
Methods: A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder.
Size and Topography of the Brain's Functional Networks with Psychotic Experiences, Schizophrenia, and Bipolar Disorder.
Biol Psychiatry Glob Open Sci
November 2024
Department of Psychiatry, Washington University Medical School, St Louis, Missouri.
Background: Existing functional connectivity studies of psychosis use population-averaged functional network maps, despite highly variable topographies of these networks across the brain surface. We aimed to define the functional network areas and topographies in the general population and the changes associated with psychotic experiences (PEs) and disorders.
Methods: Maps of 8 functional networks were generated using an individual-specific template-matching procedure for each participant from the Human Connectome Project Young Adult cohort ( = 1003) and from a matched case cohort (schizophrenia [SCZ], = 27; bipolar disorder, = 35) scanned identically with the same Connectom scanner.
Lupus psychosis: an unusual cause of acute confusion presenting to acute medicine.
BMJ Case Rep
January 2025
Rheumatology, Epsom and Saint Helier Hospital NHS Trust, Carshalton, UK.
A young lady was brought to the hospital by the police after they found her wandering in the streets far away from her home behaving oddly. At admission, she was confused and had various delusional thoughts accompanied by visual and auditory hallucinations. After she was identified and her old medical notes were retrieved, it was found that she had a diagnosis of systemic lupus erythematosus (SLE) previously for which she declined any treatment.
View Article and Find Full Text PDFPredictive coding in neuropsychiatric disorders: a systematic transdiagnostic review.
Neurosci Biobehav Rev
January 2025
Department of Brain and Behavioral Sciences, University of Pavia, Italy. Electronic address:
The predictive coding framework postulates that the human brain continuously generates predictions about the environment, maximizing successes and minimizing failures based on prior experiences and beliefs. This PRISMA-compliant systematic review aims to comprehensively and transdiagnostically examine the differences in predictive coding between individuals with neuropsychiatric disorders and healthy controls. We included 72 case-control studies investigating predictive coding as the primary outcome and reporting behavioral, neuroimaging, or electrophysiological findings.
View Article and Find Full Text PDFCreating a collaborative culture of learning within a network of community mental health early psychosis programs in Texas.
Schizophr Res
January 2025
Dell Medical School, The University of Texas at Austin, United States; Department of Psychiatry, Indiana University School of Medicine, United States.
Learning Health Systems (LHSs) promise meaningful health care improvement through the ongoing use of data, including the lived experience of diverse constituents, such as people participating in and providing services. Most LHSs operate within a specific healthcare system, typically hospital-based, under a common electronic health record (EHR) and management structure. The Early Psychosis Intervention Network in Texas (EPINET-TX) is a novel case study of a developing LHS across 16 independent community mental health clinics operating state-funded coordinated specialty care (CSC) programs for early psychosis.
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