Depression

Towards a rational ECT treatment approach for severe and treatment resistant schizophrenia using neuroimaging biomarkers: A focused review.

Treatment resistant schizophrenia (TRS) is a major challenge in psychiatry, and its management remai...

Feasibility of diagnosing major depressive disorder with a panel of serum and urine biomarkers.

BACKGROUND: Various biomarkers have been identified as being associated with the pathophysiology of ...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, an...

Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations.

The diagnosis of major depressive disorder (MDD) urgently requires objective biomarkers for clinical...

Depression detection from multimodalities based on LeNet with hunter-geese optimization.

Depression is considered a psychological illness, and the effects of depression are persistent sadne...

Predicting changes in depressive symptomatology following oral esketamine treatment in treatment-resistant depression: A machine-learning approach.

Oral esketamine is a potentially effective and well-tolerated treatment for treatment-resistant depr...

Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.

Bioinspired neuromorphic and in-memory computing requires devices that store and process information...

Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to canc...

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to m...

Spontaneous oxycodone withdrawal alters behavior and oligodendrocyte-related gene expression in mice.

Negative affective signs are induced during withdrawal from acute opioid injection and increase in m...

On the value of radiomics in addition to clinical measures in emotional conflict fMRI for predicting sertraline response in major depressive disorder.

Most patients with major depressive disorder (MDD) do not respond to first-line treatment, and robus...

Examining public acceptance intentions for government digital human through expectation confirmation and technology acceptance models.

Government digital humans represent a significant application of the combination of generative artif...

Development and validation of a deep learning model for automatic detection of depressed skull fractures from CT scans.

BACKGROUND: Depressed skull fractures with bone depression greater than in one cortex might cause ma...

Between Help and Harm: An Evaluation Study of Mental Health Crisis Handling by Large Language Models.

BACKGROUND: The use of large language models (LLMs)-powered chatbots has reshaped how people seek in...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis s...

Corrigendum to "Machine Learning Models for detecting Suicidal ideation in Chinese in-Patients with major depressive disorder: A Single-center retrospective study" [J. Affect. Disord. 406 (2026) 121679].

A multi-view autoencoder architecture with self-adaptive feature recalibration and confidence-aware ensemble for heart disease classification.

Heart disease continues to pose a major challenge to global health, underscoring the need for early,...

Discriminating bipolar depression from major depressive disorder using functional and microstructural signatures of inferior fronto-occipital fasciculus: Promising results from an MRI study.

BACKGROUND: Bipolar depression (BD-d) and major depressive disorder (MDD) share overlapping clinical...

Methodological guidance on clinical prediction models in mental health research.

Clinical prediction models play a crucial role in advancing personalized care for mental health diso...

Machine learning-based prediction of suicide risk: A long-term OCD cohort follow-up.

BACKGROUND: Obsessive Compulsive Disorder (OCD) is associated with an increased suicide risk in comp...

Interpretable Machine Learning to Predict Anxiety or Depression in Acute Ischemic Stroke after IV Thrombolysis: A Retrospective Cohort Study.

BACKGROUND: Acute Ischemic Stroke (AIS) represents a prevalent cerebrovascular condition characteriz...