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Exploring delusional themes and other symptoms in first episode psychosis: A network analysis over two timepoints.
Psychiatry Res
January 2025
Department of Psychiatry, Faculty of Medicine and Health Sciences, McGill University, 1033 Pine Avenue West, Montreal, QC, , H3A 1A1, Canada; Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, 6875 Blvd. LaSalle, Montreal, QC, , H4H 1R3, Canada. Electronic address:
Delusions are a defining feature of psychosis and play an important role in the conceptualization and diagnosis of psychotic disorders; however, the particular role that different delusions play in the prognosis of these disorders is not well understood. This study explored relationships between delusions and other symptoms in 674 first episode psychosis (FEP) individuals by comparing symptom networks between baseline and 12 months after intake to an early intervention service. Specifically, we (1) estimated regularized partial correlation networks at baseline and month 12, (2) identified the most central symptoms in each network, (3) identified clusters of highly connected symptoms, and (4) compared networks to examine changes in structure and connectivity.
View Article and Find Full Text PDFEarly intervention in psychosis programs in Africa, Asia and Latin America; challenges and recommendations.
Glob Ment Health (Camb)
January 2025
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Background: While early intervention in psychosis (EIP) programs have been increasingly implemented across the globe, many initiatives from Africa, Asia and Latin America are not widely known. The aims of the current review are (a) to describe population-based and small-scale, single-site EIP programs in Africa, Asia and Latin America, (b) to examine the variability between programs located in low-and-middle income (LMIC) and high-income countries in similar regions and (c) to outline some of the challenges and provide recommendations to overcome existing obstacles.
Methods: EIP programs in Africa, Asia and Latin America were identified through experts from the different target regions.
A Systematic Review Exploring the Relationship Between Family Factors and Symptom Severity, Relapse and Social or Occupational Functioning in First-Episode Psychosis.
Early Interv Psychiatry
January 2025
School of Psychology, University College Dublin, Dublin, Ireland.
Aims: Research on family functioning in psychosis has typically focused on specific family-related factors and their impact on symptomatology, finding strong associations between high expressed emotion and poor outcomes, especially in those with long-term illness. The objective of this review is to examine the impact of a broad range of family-related factors and their relationship with clinical, social, occupational and relational outcomes in first-episode psychosis (FEP).
Method: A systematic search of databases PsycInfo, Pubmed, Embase and CINHAL between 1990 and August 2023 was completed.
Mental Health Care Utilization and Prescription Rates Among Children, Adolescents, and Young Adults in France.
JAMA Netw Open
January 2025
CEReSS, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France.
Importance: Amid escalating mental health challenges among young individuals, intensified by the COVID-19 pandemic, analyzing postpandemic trends is critical.
Objective: To examine mental health care utilization and prescription rates for children, adolescents, and young adults before and after the COVID-19 pandemic.
Design, Setting, And Participants: This population-based time trend study used an interrupted time series analysis to examine mental health care and prescription patterns among the French population 25 years and younger.
Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry.
Brain Sci
November 2024
Psychiatry Unit, Department of Health Sciences, University of Catanzaro Magna Graecia, 88100 Catanzaro, Italy.
Schizophrenia, a highly complex psychiatric disorder, presents significant challenges in diagnosis and treatment due to its multifaceted neurobiological underpinnings. Recent advancements in functional magnetic resonance imaging (fMRI) and artificial intelligence (AI) have revolutionized the understanding and management of this condition. This manuscript explores how the integration of these technologies has unveiled key insights into schizophrenia's structural and functional neural anomalies.
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