Depression

A full-function memristive associative memory neural network circuit based on multi-frequency SRDP rule.

Previous studies on memristive associative neural network circuits have not sufficiently incorporated the effects of spike-rate-dependent plasticity (SRDP) together with long-term potentiation (LTP) and long-term depression (LTD) mechanisms. To address this limitation, based on the SRDP rule, this paper presents the design of a full-function memristive associative memory neural network circuit. Th...

Brain dynamics and depressive symptoms in young adults: Evidence from EEG.

BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents and young adults. However, the neural mechanisms underlying depressive symptoms remain poorly understood. This study aimed to identify patterns of altered brain oscillatory dynamics associated with depressive symptoms in nonclinical young adults using resting-state electroencephalography (EEG). METH...

Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.

Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their impact on outcomes of digital and smartphone-deli...

Esflurbiprofen exerts a fast-onset antidepressant effect by blocking SERT-nNOS interaction.

Selective serotonin reuptake inhibitors (SSRIs) are characterized by delayed therapeutic onset largely due to their reliance on the desensitization of...

A novel potential biomarker panel to diagnose depression derived from big proteomic data.

BACKGROUND: There is still no clinical biomarker to diagnose depression. Given the complexity of a multifactorial disease like depression, a single bi...

Classification of major depressive disorder using vertex-wise brain sulcal depth, curvature, and thickness with a deep and a shallow learning model.

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even...

Harnessing Machine Learning to Predict Nurse Turnover Intention and Uncover Key Predictors: A Multinational Investigation.

AIMS: To predict nurses' turnover intention using machine learning techniques and identify the most influential psychosocial, organisational and demog...

Prefrontal cortex cytosolic and synaptosome proteome reveal molecular signatures of resilience to chronic social isolation stress in rats.

Chronic social isolation stress (CSIS) is a well-established preclinical model for studying stress-induced neurobiological changes and their effects o...

Deep adaptive fusion network with multimodal neuroimaging information for MDD diagnosis: an open data study.

Neuroimaging offers powerful evidence for the automated diagnosis of major depressive disorder (MDD). However, discrepancies across imaging modalities...

Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-Registration.

Large language models can transform individuals' mental health descriptions into scores that correlate with rating scales approaching theoretical uppe...

A Walk With Grief: A Personal Narrative of Coping With the Death of a Same Sex Partner in Late Life.

Grief is a complex and multifaceted process. While there is no reason to think that the grieving process would be dissimilar if an LGBTQ+ individual l...

Revealing and validating the biomarkers associated with demethylation in major depressive disorder: comprehensive insights based on bulk RNA sequencing data, single-nucleus RNA sequencing data, and clinical experiments.

BACKGROUND: The demethylation is suspected to play a role in the development of major depressive disorder (MDD), but the precise biological mechanisms...

Auto-Masked Audio Spectrogram Transformer for depression detection from speech.

BACKGROUND: Depression is a psychological disorder characterized by altered self-referential cognition and impaired emotional expression. Traditional ...

Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data.

Body dysmorphic disorder (BDD) is characterized by distressing preoccupations with perceived appearance flaws, leading to functional impairment and su...

Edge-Centric Brain Connectome Representations Reveal Increased Brain Functional Diversity of Reward Circuit in Patients With Major Depressive Disorder.

BACKGROUND: Major depressive disorder (MDD) has been increasingly understood as a disorder of network-level functional dysconnectivity. However, previ...

Targeting mechanisms of change as a path to precision psychotherapy for community settings.

There have been exciting advancements in mechanisms of change research, but most innovations are rarely applied in community settings. Growing depress...

Warning: AI chatbots will soon dominate psychotherapy.

Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial inte...

Research experience and career factors in relation to mental health problems: Prevalence, risk factors, and machine learning-based predictive estimates.

BACKGROUND: Mental health issues, including depression, anxiety, and insomnia, are increasingly prevalent among university students and graduates, esp...

Are clinical improvements in large language models a reality? Longitudinal comparisons of ChatGPT models and DeepSeek-R1 for psychiatric assessments and interventions.

BACKGROUND: Potential clinical applications for emerging large-language models (LLMs; e.g. ChatGPT) are well-documented, and newer systems (e.g. DeepS...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for major depression or schizophrenia under polypharmac...