Bipolar Disorder

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Current evidence lacks an integrated causal perspective spanning macro-level epidemiology, micro-level causal mechanisms, and clinical prediction. METHODS: We employed a multilevel analytical approach integrating genetic causal inference and neuroimagi...

Differentiating unipolar and bipolar depression using multi-task eye-movement features.

BACKGROUND: Differentiating bipolar depression (BPD) from unipolar depression (UPD) is clinically challenging due to symptom overlap. This study explores eye-movement differences between UPD, BPD, and healthy controls (HCs) using a multi-task eye-tracking approach. METHODS: Eye-movement data were collected from 228 participants (60 UPD, 56 BPD, 112 HCs) across four tasks: fixation stability, free-...

Temporal patterns and predictive factors of depressive disorders among adolescents and young people in Asia.

BACKGROUND: Depressive disorders are a leading cause of non-fatal health loss among adolescents and young adults, yet evidence on long-term trends and...

Facile Critical Evaluation of Extensive Lithium-Oxygen Battery Literature Using In-House Data and the Structured Query Learning-Retrieval-Augmented Generation Method.

Lithium-oxygen batteries (LOBs) offer combustion fuel-like energy densities but remain constrained by low efficiency, limited cycle life, and coupled ...

MTCL2 is essential for the bipolar-to-multipolar transition in the dendrite extension of cerebellar granule neurons.

The dynamic regulation of neuronal polarity is essential for the formation of neural networks during brain development. Primary cultures of rodent neu...

Design of a Li-ion battery cooling system incorporating PCM, heat pipes, and liquid circuits using marine predator algorithm-enhanced ANN and multi-verse optimization.

Managing heat generation in lithium-ion batteries remains a major obstacle, as excessive temperatures and non-uniform thermal distribution can signifi...

3DViT-GAT: a unified atlas-based 3D vision transformer and graph learning framework for major depressive disorder detection using structural MRI data.

Major depressive disorder (MDD) is a prevalent mental health condition that negatively impacts both individual well-being and global public health. Au...

Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.

BACKGROUND: Major Depressive Disorder (MDD) is a leading global neuropsychiatric disorder, requiring precise diagnosis for effective intervention. Dev...

Maternal and Pediatric Precision in Therapeutic Knowledge Portal (MPRINT-KP): Landscape Analysis of Pharmacology Research in Maternal and Pediatric Patient Populations.

Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a s...

Prediction and Prevalence of Self-Harm and Nonsuicidal Self-Injury in Children With Learning Disabilities: A Machine-Learning Approach in Saudi Arabia.

The current study aimed to estimate the prevalence of self-harm and nonsuicidal self-injury (NSSI) in children with learning disabilities (LD) in Saud...

Artificial intelligence robots for mental health applications: a scoping review.

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingl...

Polyanion-stabilized amorphous halide electrolytes with low lithium content for all-solid-state lithium batteries.

Lithium halide solid electrolytes have garnered significant attention owing to their high ionic conductivity and positive electrode compatibility. How...

An Interpretable Functional-Dynamic Synaptic Graph Neural Network for Major Depressive Disorder Diagnosis from rs-fMRI.

Major depressive disorder (MDD) is a serious, complex psychiatric condition that affects millions of people worldwide. Early diagnosis and biomarker i...

Simulating quadrupolar NMR dynamics in solid electrolyte Li10GeP2S12.

Quadrupolar solid-state nuclear magnetic resonance (NMR) spectroscopy is an excellent tool to trace lithium (Li) ion diffusion in solid electrolytes d...

Predicting suicide attempts among the elderly: A machine learning evaluation of a staged ideation-to-action approach based on the Three-Step Theory.

Suicide among older adults remains a major global public health concern, particularly acute in South Korea. Effective prevention requires prediction m...

Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.

For decades, psychiatric neuroimaging has searched for biomarkers of depression and other disorders, but they remain elusive in clinical practice. Whi...

Harnessing exosomes for precision diagnostics and therapies in psychiatry disorders.

Exosomes are nanosized extracellular vesicles enriched with proteins, lipids, and nucleic acids and are emerging as powerful mediators of intercellula...

Changes in personality functioning following psychotherapy: Utilizing machine learning to identify predictors in a psychodynamic psychotherapy sample.

INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received renewed interest in psychotherapy research with the...

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they often require long durations and frequent sessions. To...

Plasma neurotransmitter-related metabolite alterations in adolescent major depressive disorder with and without psychotic features.

BACKGROUND: Whether adolescent major depressive disorder (MDD) with psychotic features has a distinct peripheral metabolite signature remains uncertai...