Depression

Psychological stress-associated ceramide and diacylglyceride lipotoxicity as contributors to first-episode depression pathophysiology: A neuroimmune-metabolic-oxidative stress (NIMETOX) perspective.

BACKGROUND: Aberrations in neuro-immune, metabolic, and oxidative stress (NIMETOX) pathways are implicated in major depressive disorder (MDD). First-episode simple dysmood disorder (FE-SDMD) without metabolic syndrome offers a unique model to investigate early lipid alterations using a systems biology approach. METHODS: Plasma samples were collected from 88 university students (44 FE-SDMD, 44 heal...

Modeling suicidal thoughts and behaviors in university students: integrating suicide theory with interpretable machine learning.

University students are at risk of suicidal thoughts and behaviors (STB), with prevalence rates higher than those in the general population. Machine learning (ML) enhances the accuracy of STB prediction and provides new possibilities and explanatory frameworks for this issue. This study extends prior research in two ways: (1) by employing, for the first time, a sample of Taiwanese university stude...

Resting-state fMRI-based machine learning for predicting SSRI treatment response in major depressive disorder.

BACKGROUND: Major Depressive Disorder (MDD) is a prevalent mental health condition with significant societal impact. Although prior research has highl...

Trustworthy artificial intelligence for rural health care.

Regional, rural and remote Australians experience poorer health outcomes and substantially higher rates of suicide and self-harm than those in major c...

Leveraging machine learning with real-world data for hypothesis generation by identifying exposomic predictors in Parkinson's disease among farmers.

BackgroundMachine learning offers new avenues for complementing traditional epidemiological approaches by analyzing routinely collected, population-ba...

Predicting Next-Day Passive Suicidal Ideation in At-Risk Youth.

INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...

Investigating the Relationship Between Suicide Risk and Warning Signs Within China and the United States: Using Machine Learning to Facilitate Content Analysis.

This study explores how machine learning can facilitate large-scale content analysis of suicide-related expressions on social media across cultural co...

The role of catastrophizing in anxiety and depression symptom scores among knee osteoarthritis patients: a multimodal assessment with EEG and machine learning.

To examine dimensional associations between anxiety- and depression-related symptom severity, pain catastrophizing, and resting-state EEG features in ...

Causal effect on the number of life years lost due to a specific event: average treatment effect and variable importance.

Competing risk is a common phenomenon when dealing with time-to-event outcomes in biostatistical applications. An attractive estimand in this setting ...

Predicting Care Needs in Community-Dwelling Older Adults Using Explainable Machine Learning and a Multidimensional Approach Integrating Health, Social, and Environmental Factors: Cross-Sectional Study.

BACKGROUND: Rapid population aging and a worsening shortage of care workers necessitate the identification of older adults who require proactive inter...

[AI Chatbots and Suicidality: Implications for Practice].

OBJECTIVE: OpenAI, the provider of ChatGPT, estimates that approximately 0.15% of weekly active users engage in conversations with the chatbot that co...

Machine Learning Model for Predicting Suicide Risks Among Patients With Posttraumatic Stress Disorder Who Received Opioids.

BACKGROUND: The cooccurrence of posttraumatic stress disorder (PTSD) and opioid use heightens suicide risk. We aimed to develop and validate a machine...

Metabolites stratify future major depressive disorder risk in obese population: a longitudinal machine learning analysis.

BACKGROUND: Obesity is a well-established risk factor for major depressive disorder (MDD), yet the risk is not uniform, highlighting the need for prec...

Subthalamic spatio-spectral-connectivity of psychiatric symptoms in Parkinson's disease.

Psychiatric symptoms in Parkinson's disease (PD) are highly prevalent and challenging to treat. This study maps oscillatory neural activity to diverse...

AI-Related Stress and Suicidal Tendencies in a Primary Care Cohort: Clinical Audit.

Rapid AI integration has introduced novel psychosocial stressors. Little is known about AI-specific clinical impacts in resource-limited settings. Thi...

A Decision Support System for Major Depressive Disorder Detection Using EMD and CNN-BiLSTM-Based Analysis of Human Voice.

Major depressive disorder (MDD) is a serious mental health disorder that is understood to affect an individual's speech signals, including observed va...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...

Imaging features of affective and non-affective psychosis.

Affective and non-affective psychoses exhibit heterogeneous clinical presentation, neurobiological underpinnings, and treatment response. This special...

Mapping Depression Correlated Amygdala Communication.

The amygdala is a central hub for emotional processing, whose interactions with large-scale brain networks have been implicated in the pathophysiology...

The Quality of Suicide-Related Stories Generated by Large Language Models.

Background: Suicide-related media is known to influence suicide rates. Large language models (LLMs), a form of generative artificial intelligence (AI)...