Depression

Non-European migrants with schizophrenia spectrum disorders in Swiss forensic and general psychiatric care facilities - A comparative study using machine learning.

Personal history of migration poses an important risk factor for schizophrenia spectrum disorders (SSD), which are also associated with a higher rate of criminal behavior. To enhance care for migrants, a vulnerable and often stigmatized group in both general and forensic psychiatry, this study investigates clinical, therapeutic, and psychopathological differences between non-European migrants diag...

Screening of molecular signatures from microRNA and mRNA expression profiling related to the efficacy of the antidepressant duloxetine and analysis of their regulatory relationship.

Previous clinical studies have reported that not all depressed patients respond to antidepressants. Therefore, finding potential predictive molecular biomarkers is crucial for providing important guidelines in the diagnosis and treatment of depression. In recent years, some studies have identified potential signature molecules using machine learning analysis of transcriptomic data. In this study, ...

Are routinely collected clinical and sociodemographic characteristics associated with social functioning and activities of daily living in schizophrenia? A machine learning approach descriptive of a schizophrenia cohort.

Patients with schizophrenia often experience substantial impairments in social functioning and activities of daily living (ADLs). Previous studies hav...

Comparing Images of Depression in Mass Media and AI-Generated Pictures: Mixed Methods Study.

BACKGROUND: Images play an important role in reducing stigma related to mental health, which often is distorted in the media. In recent years, generat...

User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study.

BACKGROUND: Artificial intelligence-powered conversational agents (ie, chatbots) are increasingly popular outlets for users seeking psychological supp...

Large-scale brain network alteration among OCD patients with suicidal thoughts and behavior: A microstate analysis of the electroencephalogram.

BACKGROUND: The prevalence of suicidality in obsessive-compulsive disorder (OCD) is understudied. Moreover, identifying neurobiological markers of sui...

A data-driven analysis of artificial intelligence applications in depression research: 2020-2025.

With the rapid advancement of artificial intelligence (AI) technologies, increasing numbers of researchers have explored the integration of AI into de...

Evaluating the heterogeneous treatment effects of major depression polygenic risk scores on self-harm using causal forest.

BACKGROUND: Self-harm, defined as non-fatal self-inflicted harm regardless of suicidal intent, is a critical global health issue influenced by the int...

AI-Assisted Classical Piano Intervention for Enhancing Resilience, Mindfulness, and Emotional Processing in Young Adults With Mild-to-Moderate Anxiety or Depression.

Mental-health-oriented interventions increasingly require structured, scalable, and nonpharmacological formats that can strengthen psychological funct...

Digital Monitoring of Pre-Exposure Prophylaxis Users Through Electronic Patient-Reported Outcome Measures and Electronic Patient-Reported Experience Measures: Multicenter Prospective Study on Feasibility, Safety, and Predictive Modeling of Digital Engagement.

BACKGROUND: Digital health tools integrating electronic patient-reported outcome and experience measures (ePROMs/ePREMs) enable longitudinal monitorin...

LSHMMformer: An Intelligent detection model of depression based on multi-modal fusion.

BACKGROUND: Depression is a serious mental health issue, which has become an undeniable threat to mental well-being. Against this background, research...

Oral Health and Social Engagement of Older Adults: A Longitudinal Study.

OBJECTIVES: This study examines whether better oral health is associated with greater social engagement in later life and whether oral health and soci...

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Carta de lectores relacionada al artículo de Guevara Tirado que lleva por título "Síntomas depresivos del cuestionario PHQ-9 asociados a ideación suic...

Multivariate machine learning regression approaches to predict adolescent suicide risk.

BACKGROUND: Suicide is a leading cause of death among adolescents, yet most prediction models rely on binary classification and limited predictors, fa...

Pollutant-Specific Pathways Linking Gaseous Air Pollution to Adolescent Depressive Symptoms: Direct and Sleep-Mediated Effects in a Population-Based Retrospective Cohort Study.

OBJECTIVE: This study aimed to examine associations between multiple gaseous air pollutants across different developmental periods and depressive in l...

Identifying treatment response classes to transcranial direct current stimulation (tDCS) from daily ecological momentary assessment (EMA) patterns in patients with depression.

IMPORTANCE: Transcranial direct current stimulation (tDCS) is known to be promising for depression, but heterogeneity across studies highlights the ne...

Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...

Identification and independent validation of white matter subtypes in major depressive disorder and their role in predicting treatment response.

Major depressive disorder (MDD) is a complex psychiatric disorder characterized by diverse clinical profiles and variable treatment responses. Parsing...

The relationship between mental health disorders and LUTS.

This narrative review explores the complex relationship between lower urinary tract symptoms (LUTS) and mental health disorders, focusing on the influ...

EXPRESS: Static and dynamic perspective on brain activity and functional connectivity alternations in the comorbidity of chronic pain and depression: An fMRI study in rats.

BACKGROUND: Clinically, chronic pain and depression often coexist in multiple diseases and reciprocally reinforce each other, which greatly escalates ...