Psychiatry

Predicting suicide attempts in a high-risk clinical cohort of adolescents using machine-learning.

Exploring the intricate interplay between metabolic abnormalities and multidimensional cognitive impairment in stable schizophrenia patients.

Cognitive deficits across multiple domains are prevalent in patients with schizophrenia (PWS), and metabolic syndrome (MetS) may significantly contribute to this impairment. To clarify the complex relationships between individual MetS components and multidimensional cognitive dysfunction in PWS, we conducted a multicenter study involving 727 clinically stable patients recruited from ten psychiatri...

Ten-year population-based assessment of multimorbidity burden progression in a regional cohort of 5.5 million adults.

Multimorbidity, a major driver of healthcare demand and clinical complexity, is often addressed in a disease-centric manner and remains insufficiently...

Factors linked to depressive symptoms in obsessive-compulsive disorder: a machine learning and network analysis from China OCD Cohort (COCC).

Classification and discrimination of emotion dysregulation disorders using machine learning.

Attention-deficit/hyperactivity (ADHD), bipolar (BD) and borderline personality (BPD) disorders are severe psychiatric illnesses often presenting with...

From non-specific biomarker to targeted action: transdiagnostic and sex-specific drivers of high-CRP status in severe mental illness across the FondaMental Advanced Centers of Expertise (FACE) cohorts.

BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of severe mental illness (SMI) in a substantial subset o...

Where is the 'Anxious' in climate anxiety? Evidence from Chinese social media big data.

Climate anxiety has emerged as a significant global psychological and social response to climate change, potentially shaping public engagement and sup...

Constructing fine-grained subcortical atlases with connectional consensus graph representation learning.

Objective.The complex internal organization of subcortical structures forms the foundation of critical neural circuits that support sensorimotor proce...

Exploring service user attitudes towards mental health technologies.

OBJECTIVES: Understanding service users' knowledge of and attitudes towards the rapidly progressing field of mental health technology (MHT) is an impo...

Gut microbiome signatures associated with depression and obesity.

UNLABELLED: Depression and obesity are highly comorbid and likely involve common risk factors and pathophysiological mechanisms, which could crosslink...

Update of the Novara Cohort Study (NCS): protocol evolution of a population-based longitudinal study on ageing in Northern Italy - cohort profile.

PURPOSE: The Novara Cohort Study (NCS) was established to investigate the biological, psychological and social factors that influence ageing in the ge...

Health trajectories of patients with amyotrophic lateral sclerosis before and after initiation of non-invasive ventilation: a French nationwide database analysis.

BACKGROUND: Management of amyotrophic lateral sclerosis (ALS) is complicated by heterogeneous presentation and unpredictable disease course. This stud...

A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder.

The choroid plexus serves as the primary barrier between the brain's blood and cerebrospinal fluid and mediates neuroimmune function. A subset of indi...

Predicting off-track development in infants aged 0-6 months in low-resource settings using machine learning.

BACKGROUND: This study aimed to address the critical gap in the limited application of machine learning (ML) for identifying developmental delays in l...

Assessing personality using zero-shot generative AI scoring of brief open-ended text.

Contemporary personality assessment relies heavily on psychometric scales, which offer efficiency but risk oversimplifying the rich and contextual nat...

Voice-based machine learning for rapid screening of bipolar disorder and major depressive disorder in children and adolescents: a robust and low-complexity diagnostic model.

BACKGROUND: Major depressive disorder (MDD) and bipolar disorder (BD) are psychiatric disorders that seriously impact physical and mental health. They...

Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function.

BACKGROUND: The glymphatic system plays a critical role in brain waste clearance and health. Diffusion tensor imaging along the perivascular space (DT...

A multilayered integrated analysis of insomnia-related genes ATG7 and JAK2 in the autophagy-inflammation mechanism and clinical implications in major depressive disorder.

OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). However, the potential molecular mechanisms and the...

Frailty trajectories and risk of incident advanced CKM syndrome: A national cohort analysis.

BACKGROUND: The interplay between frailty dynamics and the newly defined Cardiovascular-Kidney-Metabolic (CKM) syndrome remains poorly understood. We ...

Development and multi-center validation of a school-home integrated machine learning model for early screening of attention-deficit/hyperactivity disorder in school-aged children.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is frequently under-identified in community settings, delaying necessary intervention. Thi...