Psychiatry

Exploring interactive pathways to infant disorganized attachment in a sample of mothers with postpartum depression.

Research on interactions between child and environmental factors in the development of infant disorganized attachment is relatively limited. Using predictive modeling, we explored how child, maternal, and family-related variables jointly predicted attachment disorganization in 204 infant-mother dyads. Almost all mothers were diagnosed with postpartum depression. We measured child, maternal, and fa...

Bridging Science and Subjectivity: Evolving Evidence, Emerging Technologies and the Call for Personalised Psychotherapy: Créer une passerelle entre la science et la subjectivité : Évolution des données probantes, arrivée de nouvelles technologies et appel à une psychothérapie personnalisée.

Psychotherapy Research in the Era of Digital Health and AIThe integration of digital health technologies and artificial intelligence (AI) into psychotherapy research represents a transformative shift in mental health care. Traditional psychotherapy relies heavily on face-to-face interactions, limiting accessibility, scalability, and opportunities for continuous monitoring of patient progress. Emer...

Real-World Testing of an Artificial Intelligence Conversational Agent as an Early Intervention and Support Tool in the Mental Health Referral Care Pathway: A Mixed-Methods Study.

BACKGROUND: The incidence of mental health concerns is growing, and demand for support is exceeding service capacity. Digital tools can provide additi...

ADBrainNet: a deep neural network for Autism Spectrum Disorder (ASD) and Attention Deficit and Hyperactivity Disorder (ADHD) classification using resting-state fMRI images based on explainable artificial intelligence.

Autism Spectrum Disorder (ASD) and Attention Deficit and Hyperactivity Disorder (ADHD) are two psychiatric disorders frequently encountered in childre...

Comparing Risk Prediction for Suicide Attempts and Deaths After Emergency Department Visits for Individuals With Mental Health Disorders.

Objective: To identify and compare predictors of nonfatal and fatal suicidal events within 180 days of emergency department (ED) visits for mental hea...

A systematic review of artificial intelligence in child and adolescent interventions: from psychotherapy to developmental support.

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact be...

Identification of metabolism and inflammation-related biomarkers and potential drugs for schizophrenia based on comprehensive bioinformatics and machine learning.

Discovery of suicide risk-associated predictors among emerging adults: an interpretable machine learning and network analysis approach.

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

Major depressive disorder (MDD) remains clinically diagnosed based on subjective symptoms rather than objective neurobiological markers, which limits ...

Contribution of social determinants to symptoms of generalized anxiety disorder.

Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise,...

Development of an interpretable machine learning model-based online tool for risk identification of anxiety symptoms in Chinese older adults.

BACKGROUND: As the population aging process has accelerated, anxiety symptoms (AS) among older adults have become a critical concern. In addition to d...

Shift to the core: Abnormal core-periphery global topography in unipolar and bipolar depression.

This study explores the global signal topography of core and periphery brain networks in Major Depressive Disorder (MDD), Bipolar disorder (BD-Dep) an...

From linguistic analyses to large language models: A scoping review of methods used to investigate language features in depression research.

Clinicians have long relied on communication to identify mental states, as many mental health conditions manifest in language. This scoping review exa...

The cerebro-cerebellar system: Integrative roles in motor control, cognition, and neuropsychiatric disorders.

The cerebro-cerebellar system, a network of bidirectional loops between the cerebellum and cerebral cortex, is crucial for coordinating motor control,...

From stigma to sanctuary: A conceptual framework for M-PODS, a low-cost, AI-powered mental health pod.

A conceptual framework for an AI driven mental health pod (M-PODS), that can help to step care and triage people who require mental health support, to...

Multimodal Wearable Sensor-Based Stress Detection: Machine Learning Pipeline with Systematic Feature Selection and Key Biomarker Insights.

The increasing awareness of stress-related health impacts has driven demand for accurate, non-invasive stress detection methods, particularly those le...

Digital Technologies That Support Meaningful Connections in Care Homes: Scoping Review.

BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for social health and well-being. However, individual, s...

Mesocorticostriatal reinforcement learning of state representation and value with implications for the mechanisms of schizophrenia.

Mesocorticostriatal dopamine projections are crucial for value learning, motivational control, and cognitive functions. However, while dopamine's role...

Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning.

Performance in table tennis is known to be affected by both mental and physical fatigue. However, accurately predicting a player's fatigue state remai...