Bipolar Disorder

Prenatal serotonin reuptake inhibitor exposure and maternal depression symptoms are associated with altered fetal brain and placental development.

Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public health priority. SRIs (SSRIs and SNRIs) are commonly prescribed for prenatal mental health conditions; however, their impact on fetal brain development remains understudied. In this observational cohort study, we compared fetal brain and placental struc...

Digital phenotyping for predicting relapse in psychiatric disorders: a systematic review of passive sensing approaches.

BACKGROUND: Digital phenotyping - the moment-by-moment quantification of individual-level human behavior using data from personal digital devices - offers a novel approach to continuous, passive monitoring of psychiatric patients. Changes in behavioral digital phenotypes may serve as early warning signs of relapse or clinical deterioration, creating an opportunity for timely preventive interventio...

Alignment of Lived Experience Questions with the Medical Literature in Bipolar Disorder: A Topic Modelling Approach: Adéquation entre les questions relatives à l'expérience vécue et la littérature médicale concernant le trouble bipolaire : Une approche de modélisation de sujets.

ObjectiveThe priorities of people with mental health challenges should be reflected in the research conducted on their behalf. Quantifying alignment o...

Consistency analysis of AI cell recognition results between non anticoagulant and anticoagulant marrow smear after Wright's staining.

The integration of artificial intelligence with bone marrow cytology represents a significant trend in the application of AI image recognition technol...

Clinical and quality of life predictors in patients with schizophrenia with and without substance use disorder.

The comorbidity of schizophrenia (SZ) and substance use disorder (SUD), also known as dual schizophrenia (SZ+), represents a clinical challenge due to...

Electrolyte Additives as Pathway Selectors in Early SEI Formation.

Electrolyte additives such as fluoroethylene carbonate (FEC) and vinylene carbonate (VC) improve lithium-ion battery performance, yet whether they shi...

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time.

BACKGROUND: Digital phenotyping has emerged as a promising approach to capture real-time behavioral and physiological data in individuals with bipolar...

MSFSNet: Multi-Source Few-Shot Adaptation Network for Cross-Subject Depression Recognition from EEG Signals.

Depression is a prevalent mental disorder with severe socio-economic implications, and its early identification and intervention are crucial for mitig...

Effectiveness of AI-based conversational and socially assistive agents in older adults: a systematic review and meta-analysis.

BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...

Machine learning approaches to distinguish bipolar disorder from borderline personality disorder: a scoping review.

BACKGROUND: Borderline personality disorder (BPD) and bipolar disorder (BD) are debilitating psychiatric illnesses with significant rates of misdiagno...

Genetics of bipolar disorder: Translating discoveries to biological insights and clinical decision support.

Bipolar disorder (BD) is a clinically heterogenous mental disorder with a diversity in clinical trajectories and treatment response. Twin studies have...

Molecular skeleton programming of premediators in sulfur electrochemistry.

Molecular mediators have demonstrated broad applicability in electrolyte chemistry of lithium-sulfur batteries, transforming sulfur conversion from tr...

Smartphone gaze-tracking for accessible psychiatric assessment.

Eye movements are promising biomarkers for psychiatric and neurological disorders, yet conventional recording methods rely on bulky, expensive, and la...

Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning.

Based on functional connectivity (FC) matrices derived from resting-state functional magnetic resonance imaging (rs-fMRI) data, graph neural networks ...

Sex-specific microbial and tryptophan signatures of depression implicate archaeal methanogens and indole-3-acetic acid only in women.

Sex differences in mental health are often overlooked, yet gut microbiota-host metabolite interactions may contribute to sexual dimorphism in depressi...

Early detection of mental health on social media using a hybrid Bi-LSTM-XGBoost model: a comparative study.

The case of mental health disorders has been a main topic in the clinical and psychological field. The advancement of computing studies, especially in...

Neural characteristics of emotion regulation and derived machine learning classification in high negative affectivity: Based on event-related potentials and nonlinear analysis.

As a core component of negative affectivity, high trait anxiety (HTA) elevates the risk of the onset of depressive disorders through impaired emotion ...

Predicting and structuring adolescent academic burnout: A multi-ecological framework via machine learning and network analysis.

Academic burnout is a prevalent concern with significant implications for adolescent development, whereas variable-centered approaches often provide l...

AI assessment of surgical technical skill adaptation across depth levels in simulated tumor resection: a case series study.

OBJECTIVE: Surgical procedures involving varying tissue depths present challenges to surgeons regarding accessibility and precision, restricting instr...

Fingerprints Encode Risk for Bipolarity.

BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...