Depression

Sex and Stress Govern the Function and Innervation of a Basolateral Amygdala to Nucleus Accumbens Corticotropin-Releasing Hormone/GABA-Expressing Projection.

Motivated behaviors are executed by refined brain circuits. Early-life adversity (ELA) is a risk for human affective disorders involving dysregulated reward behaviors. In mice, ELA causes anhedonia-like behaviors in males and augmented reward motivation in females, indicating sex-dependent disruption of reward circuit operations. We recently identified a long-range corticotropin-releasing hormone ...

Addressing Health Disparities through Community Engagement in Artificial Intelligence-Driven Prevention Science.

Artificial intelligence and machine learning (AI/ML) in prevention science may improve or perpetuate health inequities. Community engagement is one proposed strategy thought to empirically mitigate bias in AI/ML tools. We outline how to incorporate community engagement at every stage of the model development and implementation. Borrowing from a framework for phases of prevention research, we descr...

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.

BACKGROUND: Artificial intelligence (AI) offers potential solutions to address the challenges faced by a strained mental health care system, such as i...

Bridging online behavior and clinical insight: A longitudinal LLM-based study of suicidality on youtube reveals novel digital markers.

Suicide remains a leading cause of death in Western countries. As social media becomes central to daily life, digital footprints offer valuable insigh...

Randomized evidence on AI-enabled personalized treatment planning for adults with depressive-anxiety Spectrum disorders: A systematic review and Meta-analysis.

BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet its clinical impact across modalities remains uncer...

Current treatment options for perinatal depression.

PURPOSE OF REVIEW: Perinatal depression (PND) affects up to one in five patients and is the leading cause of maternal mortality, yet remains underdiag...

Rumination is more important than other variables in the association between social media use and depression: A multi-method study.

The relationship between social media use (SMU) and mental health, particularly depression, remains inconclusive. The present study recruited 925 coll...

Neural signatures of major depressive disorder with comorbid insomnia: Low gamma PoCG.R-INS.L connectivity as a potential biomarker.

BACKGROUND: Insomnia is a common and distressing symptom in major depressive disorder (MDD). However, research focusing on the neurobiological mechani...

P300-based support vector machine model for identifying adolescent with first-episode, drug-naïve major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is diagnosed mainly through clinical interviews, highlighting a need for objective neurophysiological meas...

Identification of major depressive disorder based on Triple-GCN model constructed with multimodal elastic network from higher-order brain connectivity.

Major Depressive Disorder (MDD) is the common mental health disease threatening human well-being. Several neuroimaging studies show that analyzing neu...

Gaborformer: A method for depression detection through hybrid acoustic feature extraction and fusion.

Depression, a complex and heterogeneous mental disorder, poses significant challenges for timely and effective detection, highlighting the need for ad...

An Interpretable Hybrid Neural Network Integrating Sinc-Convolution and Transformer for EEG-Based Depression Detection.

EEG recordings obtained before medication are regarded as valuable biological indicators for depression detection. Currently, depression diagnosis bas...

Advancing patient stratification in major depressive disorder: Evaluation of clinical staging and machine learning prediction models based on real-world data.

OBJECTIVE: To evaluate the utility of a clinical staging model and compared its prognostic performance with an unsupervised machine learning-based str...

Depression detection from speech data using deep learning-based optimized temporal-frequency-channel attention with interpretable acoustic-prosodic mapping.

Detecting depression from voice recordings is challenging because acoustic indicators are often highly subtle and vary broadly among individuals. A ke...

Exploring temperamental and clinical predictors of lithium treatment outcomes in bipolar disorder using diverse machine learning approaches.

BACKGROUND: Lithium is a core treatment for bipolar disorder (BD), yet clinical response varies across patients. Testing accessible predictors of lith...

Multi-scale EEG analysis identifies neural circuit signatures of iTBS responsiveness in major depressive disorder.

BACKGROUND: Response to transcranial magnetic stimulation (TMS) in major depressive disorder (MDD) is highly variable, underscoring the need for bioma...

Is chronic low back pain related to sleep disturbances? A self-organizing maps for unsupervised machine learning-based patient phenotyping.

BACKGROUND CONTEXT: Chronic low back pain (CLBP) is a multifactorial condition and a leading cause of disability worldwide. Among the various contribu...

Ensemble transformer with post-hoc explanations for depression emotion and severity detection.

This study presents an ensemble transformer framework for detecting depression-related emotions and classifying their severity in social media text. I...

Polycrystalline InGaO Thin-Film Transistor with SiO2 Gate Insulator for High-Performance Artificial Synapses.

Metal-oxide semiconductor (MOS)-based synaptic transistors are promising candidates for highly integrated neuromorphic chips. Ferroelectrics and elect...

Adolescents with non-suicidal self-injury exhibit increased pain empathic neural reactivity and personal distress to physical but not affective pain.

BACKGROUND: Non-suicidal self-injury (NSSI) in adolescents represents a critical public health issue. While symptomatic links between NSSI and alterat...