Psychiatry

Peripheral Metabolic-Redox Signaling as a Core Mechanism of Major Depressive Disorder: Evidence from Deep Metabolomic Phenotyping.

BACKGROUND: Major depressive disorder (MDD) is a neuro-immune, oxidative, and nitrosative stress (NIMETOX) disorder, in which peripheral immune-redox pathways intersect with metabolic networks leading to neurotoxicity within the limbic-prefrontal affective circuits. Comprehensive metabolomics analysis in well-phenotyped patients is vital to elucidate their metabolic profile. OBJECTIVES: To identif...

Shaping Teacher Education Through Professional Identities: Enhancing Autism Awareness.

PURPOSE: The main aim of this study is to examine autism awareness in relation to different professional identities and to explore its implications for teacher education. Furthermore, the study aims to explore how teacher education can be improved by considering differences in individuals' professional identities, especially regarding autism awareness. METHODS: A quantitative approach was used wit...

Language-based detection of depression with machine learning: systematic review and meta-analysis.

Early detection of depression is critical for timely intervention. Natural language processing (NLP) and machine learning (ML) approaches have increas...

A systematic review on dysconnectivity in face and emotion processing networks in schizophrenia.

Schizophrenia is a complex psychiatric disorder that affects approximately 20 million people worldwide. Patients show face-processing deficits that si...

Effective connectivity of implicit emotion processing in adolescent psychiatric inpatients: Dynamic causal modeling across bipolar disorder and other psychopathologies.

BACKGROUND: Pediatric bipolar disorder(BD) is difficult to distinguish from other psychiatric disorders, a challenge which can result in delayed or in...

The digital pandemic in youth: unpacking the algorithmic impact on mental health in an urbanized world.

PURPOSE OF REVIEW: Rapid urbanization and the algorithmically mediated digital environment have been linked to a "digital pandemic" in youth mental he...

Role of lactic acid-mediated ALKBH5 in depression induced by blue light exposure at night.

Artificial light at night (ALAN) has been classified as a significant environmental endocrine disruptor. Excessive exposure to ALAN has associated wit...

ChatGPT Health performance in a structured test of triage recommendations.

ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users. Here, we conducted a structured stress test of t...

Association of allostatic load index with cognitive impairment in high-risk stroke populations.

BACKGROUND: Chronic psychosocial stress induces cumulative physiological dysregulation that accelerates biological aging and contributes to the develo...

Could sleep engineering be used to combat PTSD and depression?

Sleep engineering could be developed to provide a drug-free, non-invasive avenue to treat depression and post-traumatic stress disorder. Such an inter...

Prediction of adolescent internalizing disorder risk: Evidence from the Norwegian mother, father, and child cohort study.

BACKGROUND: Internalizing disorders are among the most common psychiatric conditions in adolescence, often associated with long-term adverse outcomes....

Integrative Molecular Pattern Learning for Mental Disorders Via Dual-Effect Matrix-Enabled Multiomics Platform.

Mental health issues are surging in contemporary society, especially among adolescents and adults, harming well-being and social functioning. Objectiv...

A systematic exploration of digital biomarkers for the detection of depressive episodes in bipolar disorder.

Digital phenotyping promises to transform psychiatry by using multimodal, densely sampled data. However, its potential is hindered by the lack of focu...

Machine learning-based prediction and quantification of OCD surgery and pedigree effects on racehorse performance.

Osteochondritis dissecans (OCD) is a common developmental orthopedic condition in Thoroughbred racehorses and although arthroscopic surgery is widely ...

Risk Modeling and Association Pathways Integrating Psychosocial Factors for Drug Misuse in Adolescents and Young Adults: A Machine Learning Approach.

INTRODUCTION: Early identification for preventing drug misuse among adolescents and young adults (AYAs) is more cost-effective than drug treatment. Ho...

Machine learning-based prediction of disability in subacute low back pain: a primary care study on clinical and psychosocial determinants.

BACKGROUND: Subacute low back pain (LBP) is a highly prevalent condition and a major contributor to disability and health care burden. Early identific...

Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy.

Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD, but patient response varies considerably. Optimal...

Differentiating bipolar disorder and schizophrenia using sleep EEG power and coherence features: A machine learning approach based on polysomnography.

Differentiating between bipolar disorder (BD) and schizophrenia (SZ) is challenging due to overlapping clinical symptoms and shared genetic risks, res...

Co-Designed Mental Health Screening App (Here for You) for University Students: Pilot Feasibility Mixed Methods Study.

BACKGROUND: Mental health disorders are a growing public health concern among university students globally and in India, exacerbated by stigma and lim...

On the importance of white-box machine learning models in psychiatry: An example predicting suicidality in depression.