Psychiatry

Use of human data for risk assessment of pesticides: A review including an evaluation of trichlorfon as case study.

Pesticides are suspected to cause health effects in humans, but human-based data on their toxicity are often insufficient to establish associations and quantify risks. We reviewed literature on trichlorfon and investigated methodological aspects of risk assessment for pesticides based on human data. We provided an overview of epidemiology of pesticide toxicity, with focus on methodological feature...

Mental disorders & self-injurious thoughts and behaviors predict high risk of role impairment among university students - results from the world mental health international college student initiative.

OBJECTIVE: We examined psychopathological conditions accounting for the highest risk of role impairment among university students. METHOD: Cross-sectional online survey of first-year students (60 universities, 10 countries) assessing role impairment due to emotional problems in previous 30 days with the 3-item emotional subscale of the VR-36. Cross-tabulations and Poisson regression examined assoc...

Analysis of the influential factors of depression in the elderly based on CHARLS through partial least squares structural equation and random forest modeling.

OBJECTIVE: We aimed to explore how influential factors, such as chronic diseases, disability and social support, affect depressive symptoms in older a...

Development of a machine learning-based prediction model for bipolar disorder relapse via integration of 1H-NMR metabolomics and clinical features.

BACKGROUND: Bipolar disorder (BD) is a chronic psychiatric illness characterized by recurrent episodes of depression and mania, with a global lifetime...

Intelligent electroencephalogram feature engineering for rapid mental health diagnosis.

Schizophrenia is one of the serious disorders and, if left untreated, can result in a range of problems with cognition, behavior, and emotions that af...

Corrigendum to 'Machine learning-based prediction of delirium in older patients with chronic kidney disease requiring intensive care: A hospital-based retrospective cohort study' [Journal of Psychosomatic Research, 200 (2026), article PSR_112454].

Major depressive disorder and Hashimoto's thyroiditis: Shared immunometabolic signatures revealed by integrative transcriptomics.

Major depressive disorder (MDD) and Hashimoto's thyroiditis (HT) frequently co-occur, yet their shared molecular underpinnings remain unclear. We perf...

Multimodal-based deep learning detected disrupted precuneus connectivity and its related genetic profiles for predicting adults with ADHD.

BACKGROUND: Integrating neuroimaging genetics data may enhance the diagnosis and understanding of adults with attention-deficit/hyperactivity disorder...

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part I Female Athletes.

McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The influence of sport representation and attitudes towar...

The engagement behaviors and treatment barriers for depressed patients in an online health community: a pre-/post-treatment comparison.

The treatment of depression involves numerous barriers, both before and after individuals seek professional care. Online health communities (OHCs) hav...

Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis.

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster in patients with lung cancer following chemotherap...

Pharmacoepidemiologic characterization of cannabis use and symptomatology in rheumatology using natural language processing of electronic health record clinic notes.

Up to 70% of patients with autoimmune rheumatic diseases (ARDs), including rheumatoid arthritis, psoriatic arthritis, and systemic lupus erythematosus...

ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition.

BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depression and anxiety. Electroencephalography (EEG) is...

Curcumin reprograms metabolic pathways and MAPK signaling to exert antidepressant effects.

BACKGROUND: Depression is a prevalent and debilitating mental disorder with limited treatment options. Curcumin, a natural compound with neuroprotecti...

One Hundred Years Later! The Current Utility of EEG Tools in Psychiatry: Some Insights and Perspectives.

ObjectiveSince the pioneering work of Hans Berger in 1929 introducing the utility of human electroencephanlography (EEG) in psychiatry, a considerable...

Ethics in Telepsychiatry.

This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particula...

Evaluating ChatGPT-generated psychoeducation for mood disorders: comparative insights from patients and mental health professionals.

INTRODUCTION: Psychoeducation is a key intervention in mood disorders. With the rise of artificial intelligence (AI) conversational agents, tools like...

Detection of major depressive disorder in adolescents based on textual and acoustic features.

BACKGROUND: Adolescent major depressive disorder (MDD) has become a growing public health concern, with rising prevalence over the past decade and sig...

Artificial intelligence in depression diagnostics: A systematic review of methodologies and clinical applications.

The integration of artificial intelligence (AI) into the field of mental health diagnosis has garnered increasing scholarly and clinical attention, pa...

Graph-level contrastive learning with self-aware and cross-sample topology augmentation for brain disorder diagnosis using rs-fMRI.

Resting-state functional MRI (rs-fMRI) is widely used for diagnosing and analyzing brain disorders. However, existing fMRI studies have shown that lea...