Bipolar Disorder

When Markets Shape AI Mental Health Self-Management Tools: Consequences for Serious Mental Illness.

AI-enabled self-management health tools are increasingly promoted within health care policy as part of digital self-management models for mental health care. However, development is concentrated on scalable, low-intensity interventions for common conditions, such as anxiety and depression, rather than on populations with the greatest clinical need, such as those with serious mental illness (SMI). ...

Trehalose-mediated anti-freezing and heat-resistant chitosan-based conductive hydrogels with tunicate cellulose nanocrystals for antibacterial wearable sensors.

Conductive hydrogels based on natural products are promising for wearable sensors owing to their low cost and good biocompatibility, but typically suffer from poor mechanical strength, limited environmental stability, insufficient antibacterial activity, single functionality, and poor electrical conductivity. Here, we develop a conductive nanocomposite hydrogel (CAT2T1.2L0.1) featuring trehalose a...

Episode-state-associated and shared intrinsic functional network patterns in bipolar disorder.

Understanding functional connectivity alterations across manic, depressive, and remitted states of bipolar disorder (BD) remains an important challeng...

Rational design of advanced electrocatalysts based on reactivity descriptors for high-performance lithium-sulfur batteries.

Lithium-sulfur batteries (LSBs) possess ultrahigh theoretical energy densities, making them promising candidates for next-generation energy storage. N...

Abnormal gray matter structural covariance networks associated with suicidal ideation in adults with major depressive disorder: Evidence from the REST-meta-MDD consortium.

BACKGROUND: Suicidal ideation (SI) is common in patients with major depressive disorder (MDD) and may represent a clinically meaningful phenotype with...

Leveraging Data-Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries.

The rise of data science and decades of accumulated battery research have paved the way for the general use of computing in research. Here, the larges...

Electrolyte Engineering Challenges and Opportunities for Next-Generation Aqueous Ammonium-Ion Batteries.

Aqueous ammonium-ion batteries (AAIBs) have emerged as a promising post-lithium energy-storage technology, combining intrinsic safety with sustainable...

Dynamic Covalent Frameworks for Lithium Anode Protection: From Bonding Chemistry to Interface Engineering.

Lithium metal batteries are severely hindered by interfacial instability issues such as dendrite growth, unstable solid electrolyte interphase, and vo...

Machine Learning-Based Discrimination of Treatment-Resistant Schizophrenia Using Structural Brain Imaging: A Multi-Site Proof-of-Concept Study.

BACKGROUND: Treatment-resistant schizophrenia (TRS) affects 20-30% of individuals with schizophrenia, with persistent symptoms, functional impairment,...

Characterization of AF Recurrence and Substrate Health by Electrographic Flow (EGF) Consistency in EGF Mapping.

BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...

Voice-interactive virtual simulated patients as a complement to standardized patient training in pharmacy education: A pilot evaluation.

INTRODUCTION: Standardized patients (SPs) are widely used in pharmacy education for communication skills training, but high resource demands limit pra...

EEG-Based Effective Connectivity for Automated Detection of Major Depressive Disorder.

Major depressive disorder (MDD) is a prevalent mental health condition with profound consequences on daily functioning and quality of life. Existi...

Validating objective and scalable speech markers of depression across two independent psychiatric cohorts.

BACKGROUND: Using speech as objective markers for major depressive disorder (MDD) has shown promise, yet their generalizability across clinical settin...

Upstream costs of the energy transition: differentiated mechanisms of economic-environmental synergy in lithium development systems.

As the global energy transition accelerates, the low-carbon benefits realized downstream in new energy supply chains do not mean that upstream resourc...

Mesoscale Ionic Connectivity Reconciles Transport and Cycling Stability in Highly Concentrated Deep Eutectic Electrolytes.

Highly concentrated electrolytes often exhibit a counterintuitive combination of reduced bulk ionic conductivity and markedly improved cycling stabili...

Integrative TWAS and multi-omics analyses prioritize HSPE1 as a candidate risk gene for bipolar disorder with immune cell-specific regulatory evidence.

BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder associated with substantial disability. Although genome-wide association studies ha...

Interpretable Topic Modeling of Spontaneous Speech in Depression Using Large Language Models: Multilingual Four-Cohort Study.

BACKGROUND: Depression is underdiagnosed worldwide, and clinicians rely on interpreting patients' subjective speech. Qualitative analysis of patient l...

Leveraging Machine Learning for Accelerated Electrode-Electrolyte Interface Design in Rechargeable Li-Based Batteries.

Due to their high specific energy, lithium-metal batteries (LMBs) are widely regarded as the promising next-generation energy storage devices. Neverth...

A multi-metric profiling of OFC subregion connectivity identifies system-level alterations in major depressive disorder.

BACKGROUND: Orbitofrontal cortex (OFC) dysfunction contributes to major depressive disorder (MDD), particularly through disrupted network interactions...

Data diversity vs. model complexity in the prediction of pediatric bipolar disorder: Evidence from academic and community clinical samples.

Pediatric bipolar disorder is challenging to diagnose accurately due to symptom heterogeneity. More standardized and data-driven approaches are needed...