Bipolar Disorder

Development and validation of a prognostic model and risk calculator for the estimation of bipolar-spectrum disorder risk in hospitalised adolescents with non-psychotic/non-bipolar mental disorders.

We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents based on clinical characteristics, including putatively prodromal symptoms. Adolescent inpatients (ages = 12-18 years) with non-psychotic/non-BSD diagnoses were recruited for the Adolescent Mood Disorder and Psychosis Study (AMDPS), a longitudinal, pr...

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 hinder the exploration of cross-modal interactions and the effective integration of complementary features. To address this challenge, we propose a supervised Deep Adaptive Fusion Network (DAFN) that fully leverages the complementarity of multimodal...

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 ...

Interrelations between dopaminergic-, gabaergic- and glutamatergic neurotransmitters in antipsychotic-naïve psychosis patients and the association to initial treatment response.

Preclinical evidence points to disturbances in neural networks in psychosis involving interrelations between dopaminergic-, GABAergic- and glutamaterg...

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...

Machine learning-guided construction of MoS2/MoO3 heterostructures on hollow carbon shells for polysulfide mitigation in lithium-sulfur batteries.

The commercialization of lithium‑sulfur (LiS) batteries faces fundamental issues from polysulfide shuttling to inefficient redox kinetics, compounded ...

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...

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...

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosi...

PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders.

INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising disorders (ID), encompassing depressive, anxiety ...

A Generalizable Machine Learning Framework for Identifying Sustainable Multi-Ion Garnet Electrolytes.

Lithium-ion (Li-ion) solid-state batteries (SSBs) are highly regarded for their exceptional energy density and prolonged operational lifespan. However...

Assessment of suicidal risk factors in young depressed persons with non-suicidal self-injury based on an artificial intelligence.

INTRODUCTION: The role of non-suicidal self-injury (NSSI) in the suicide process of people with major depressive disorder(MDD) remains controversial. ...

Battery management in IoT hybrid grid system using deep learning algorithms based on crowd sensing and micro climatic data.

Hybrid Grid System (HGS) installation in small and large residential area has major challenges due to domestic loads. Domestic loads are in different ...

Comparing traditional natural language processing and large language models for mental health status classification: a multi-model evaluation.

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in d...

Mutualistic Multi-Network Noisy Label Learning (MMNNLL) Method and Its Application to Transdiagnostic Classification of Bipolar Disorder and Schizophrenia.

The subjective nature of diagnosing mental disorders complicates achieving accurate diagnoses. The complex relationship among disorders further exacer...

Characteristics of brain network connectome and connectome-based efficacy predictive model in bipolar depression.

Aberrant functional connectivity (FC) between brain networks has been indicated closely associated with bipolar disorder (BD). However, the previous f...

Using Machine Learning to Predict Treatment Outcome in a Concatenated Dataset of Youth Anxiety Treatments.

Machine Learning (ML) is a promising approach for predicting outcomes of youth anxiety treatments. To this end, data from nine randomized controlled t...

Chemical Reactions in Molten Lithium Carbonates and Hydroxides with Deep Potential Molecular Dynamics.

We generated a machine learning potential model to study chemical reactions in the liquid phase and under vapor-liquid equilibrium conditions for molt...

Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China.

OBJECTIVE: Depression in older adults is a growing public health concern, yet there is still a lack of convenient and real-time methods for depressive...