Publications by authors named "Nelson Barnaby"

Introduction: Depression is the most common co-morbid psychiatric disorder in patients with schizophrenia and has a negative effect on functional outcomes and quality of life. There are several possible pathways leading to depressive symptoms in schizophrenia. Self-disorders are disturbances in the deepest, pre-reflective level of the self and are suggested to be core features of schizophrenia.

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Background: Recent stressful life events (SLE) are a risk factor for psychosis, but limited research has explored how SLEs affect individuals at clinical high risk (CHR) for psychosis. The current study investigated the longitudinal effects of SLEs on functioning and symptom severity in CHR individuals, where we hypothesized CHR would report more SLEs than healthy controls (HC), and SLEs would be associated with poorer outcomes.

Methods: The study used longitudinal data from the EU-GEI High Risk study.

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Article Synopsis
  • Individuals at ultra-high risk (UHR) for psychosis with persistent attenuated psychotic symptoms (APS) show worse clinical and functional outcomes compared to those who remit, closely resembling individuals who transition to psychosis.
  • After an initial period, the symptom and functioning trajectories for those with persistent APS diverge quickly from those who remit.
  • Prediction of non-remission improves significantly with longitudinal data (6-month follow-up) rather than relying on baseline data alone, indicating the need for consistent monitoring and intervention for UHR individuals with persistent APS.
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Objective: Prior qualitative studies show that individuals with psychoticlike experiences express difficulties concerning their identity. However, previous work has studied individuals at clinical high risk for psychosis (CHR) and individuals with first-episode psychosis (FEP) separately. Here, we compare the experiences of individuals at CHR, individuals with FEP, and healthy individuals.

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Background And Hypothesis: Transition to psychosis rates within ultra-high risk (UHR) services have been declining. It may be possible to 'enrich' UHR cohorts based on the environmental characteristics seen more commonly in first-episode psychosis cohorts. This study aimed to determine whether transition rates varied according to the accumulated exposure to environmental risk factors at the individual (migrant status, asylum seeker/refugee status, indigenous population, cannabis/methamphetamine use), family (family history or parental separation), and neighborhood (population density, social deprivation, and fragmentation) level.

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Aims: The current range of labeling terms-at-risk mental state (ARMS), ultra-high risk for psychosis (UHR), and attenuated psychotic syndrome (APS)-used to refer to the psychosis-risk concept is varied, and their acceptability and potential stigma are not well understood. By involving Italian youth with lived experience of mental ill-health, we aimed to generate new labeling terms for psychosis-risk, and to evaluate literacy, attitudes, and preferences regarding these and the existing terms. Additionally, we investigated opinions of disclosure of the at-risk concept in clinical practice.

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Article Synopsis
  • Researchers tried to create models to predict how well people with first episode psychosis (FEP) would do after treatment, but it was hard to tell if these predictions worked for different groups of patients.
  • They tested these models using patients from two big studies in Europe and found out that while the models were somewhat accurate, they didn't work as well when applied to patients from a different study.
  • The results showed that it’s really important to check and improve these prediction models with independent samples of patients to make them better and more reliable in the future.
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The concept of ultra-high risk for psychosis (UHR) has been at the forefront of psychiatric research for several decades, with the ultimate goal of preventing the onset of psychotic disorder in high-risk individuals. Orygen (Melbourne, Australia) has led a range of observational and intervention studies in this clinical population. These datasets have now been integrated into the UHR 1000+ cohort, consisting of a sample of 1,245 UHR individuals with a follow-up period ranging from 1 to 16.

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Background: Since the late 1990s, there has been a worldwide surge of scientific interest in the pre-psychotic phase, resulting in the introduction of several clinical tools for early detection. The predictive accuracy of these tools has been limited, motivating the need for methodological and perspectival improvements. The EASE manual supports systematic assessment of anomalous self-experience, and proposes an overall model of understanding how most psychotic experiences may be initially generated on the basis of a unifying, fundamental, pre-reflective distortion of subjectivity.

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Background: Disruptions of axonal connectivity are thought to be a core pathophysiological feature of psychotic illness, but whether they are present early in the illness, prior to antipsychotic exposure, and whether they can predict clinical outcome remain unknown.

Methods: We acquired diffusion-weighted magnetic resonance images to map structural connectivity between each pair of 319 parcellated brain regions in 61 antipsychotic-naïve individuals with first-episode psychosis (15-25 years, 46% female) and a demographically matched sample of 27 control participants. Clinical follow-up data were also acquired in patients 3 and 12 months after the scan.

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Background And Hypothesis: Cognition has been associated with socio-occupational functioning in individuals at Clinical High Risk for Psychosis (CHR-P). The present study hypothesized that clustering CHR-P participants based on cognitive data could reveal clinically meaningful subtypes.

Study Design: A cohort of 291 CHR-P subjects was recruited through the multicentre EU-GEI high-risk study.

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Aims: To map studies assessing both clinical high risk for psychosis (CHR-P) and borderline personality disorder (BPD) in clinical samples, focusing on clinical/research/preventive paradigms and proposing informed research recommendations.

Methods: We conducted a PRISMA-ScR/JBI-compliant scoping review (protocol: https://osf.io/8mz7a) of primary research studies (cross-sectional/longitudinal designs) using valid measures/criteria to assess CHR-P and BPD (threshold/subthreshold) in clinical samples, reporting on CHR-P/psychotic symptoms and personality disorder(s) in the title/abstract/keywords, identified in Web of Science/PubMed/(EBSCO)PsycINFO until 23/08/2023.

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Decreased white matter (WM) integrity and disturbance in fatty acid composition have been reported in individuals at ultra-high risk of psychosis (UHR). The current study is the first to investigate both WM integrity and erythrocyte membrane polyunsaturated fatty acid (PUFA) levels as potential risk biomarkers for persistent UHR status, and global functioning in UHR individuals. Forty UHR individuals were analysed at baseline for erythrocyte membrane PUFA concentrates.

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Globally, 75% of depressive, bipolar, and psychotic disorders emerge by age 25 years. However, these disorders are often preceded by non-specific symptoms or attenuated clinical syndromes. Difficulties in determining optimal treatment interventions for these emerging mental disorders, and uncertainties about accounting for co-occurring psychopathology and illness trajectories, have led many youth mental health services to adopt transdiagnostic clinical staging frameworks.

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Background: Labeling terms for high-risk state for psychosis, such as 'ultra-high risk' (UHR), 'attenuated psychosis syndrome' (APS), and 'at-risk mental state' (ARMS), have been criticized for their potential to lead to stigma. Hence, mental health service users in Melbourne recently proposed new terms illustrating the at-risk concept ['pre-diagnosis stage' (PDS), 'potential of developing a mental illness' (PDMI), and 'disposition for developing a mental illness' (DDMI)]. We aimed at testing the suitability of these existing and new terms in the clinical settings of early psychiatric intervention in Japan.

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Aim: Lithium, even at low doses, appears to offer neuroprotection against a wide variety of insults. In this controlled pilot, we examined the safety (i.e.

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Despite the functional impact of cognitive deficit in people with psychosis, objective cognitive assessment is not typically part of routine clinical care. This is partly due to the length of traditional assessments and the need for a highly trained administrator. Brief, automated computerised assessments could help to address this issue.

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Importance: Dynamical systems theory is widely used to explain tipping points, cycles, and chaos in complex systems ranging from the climate to ecosystems. It has been suggested that the same theory may be used to explain the nature and dynamics of psychiatric disorders, which may come and go with symptoms changing over a lifetime. Here we review evidence for the practical applicability of this theory and its quantitative tools in psychiatry.

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Article Synopsis
  • Psychiatric disorders can fluctuate over a person's lifetime, suggesting a need for a new approach to diagnosis and treatment, influenced by dynamical systems theory which looks at complex systems.
  • This theory posits that mental health can be viewed as a dynamic property, where a healthy state is resilient, while disorders represent alternative states the system can become trapped in.
  • The findings from other complex systems indicate potential new methods for assessing and managing mental health resilience, offering practical applications for psychiatry.
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This article describes the rationale, aims, and methodology of the Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). This is the largest international collaboration to date that will develop algorithms to predict trajectories and outcomes of individuals at clinical high risk (CHR) for psychosis and to advance the development and use of novel pharmacological interventions for CHR individuals. We present a description of the participating research networks and the data processing analysis and coordination center, their processes for data harmonization across 43 sites from 13 participating countries (recruitment across North America, Australia, Europe, Asia, and South America), data flow and quality assessment processes, data analyses, and the transfer of data to the National Institute of Mental Health (NIMH) Data Archive (NDA) for use by the research community.

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Background: We examined the course of illness over a 12-month period in a large, international multi-center cohort of people with a first-episode schizophrenia spectrum disorder (FES) in a naturalistic, prospective study (PSYSCAN).

Method: Patients with a first episode of schizophrenia, schizoaffective disorder (depressive type) or schizophreniform disorder were recruited at 16 institutions in Europe, Israel and Australia. Participants (N = 304) received clinical treatment as usual throughout the study.

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Article Synopsis
  • - The study focuses on individuals at ultra-high risk (UHR) for psychosis, revealing that most do not develop full psychotic disorders but often have persistent mental health issues.
  • - At baseline, 88% of the UHR participants had non-psychotic disorders, mainly mood and anxiety disorders, with some developing new disorders by long-term follow-up (mean 8.8 years).
  • - The research highlights that ongoing non-psychotic disorders are linked to poorer functional outcomes, suggesting the need for continued treatment and support for these individuals.
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A set of clinical criteria, the Clinical High At-Risk Mental State (CHARMS) criteria, have been developed to identify symptomatic young people who are at-risk of disorder progression. The current study aimed to validate the CHARMS criteria by testing whether they prospectively identify individuals at-risk of progressing from attenuated symptomatology to a first episode of serious mental disorder, namely first episode psychosis, first episode mania, severe major depression, and borderline personality disorder. 121 young people completed clinical evaluations at baseline, 6- and 12-month follow-up.

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Article Synopsis
  • - Psychosis risk prediction in psychiatry is challenging, and a study aimed to evaluate whether a specific proteomic model could accurately predict the transition to psychosis in individuals at clinical high risk, using plasma samples from three cohorts totaling 754 participants.
  • - The study found that only 20.4% of participants developed psychosis over about 4.4 years, and the prediction model had poor accuracy (C-statistic: 0.51), suggesting that the proteomic factors didn't reliably predict outcomes.
  • - Some proteins, like Complement C8B and LRG1, showed weak associations with psychosis transition but did not reach significant levels when correcting for multiple comparisons, indicating that previous claims based on small sample sizes should
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