Bipolar disorders (BDs) are recurrent and sometimes chronic disorders of mood that affect
around 2% of the world's population and encompass a spectrum between severe elevated …

This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …

As patient health information is highly regulated due to privacy concerns, most machine
learning (ML)-based healthcare studies are unable to test on external patient cohorts …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Advances in artificial intelligence have cultivated a strong interest in develo** and
validating the clinical utilities of computer-aided diagnostic models. Machine learning for …

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here
we aimed to clarify the relationship between obesity and brain structure using structural MRI …

The regression model based on the support vector machine (SVM) is a standard mid-term
and long-term load forecasting method. However, the hyperparameters of traditional SVM …

Current knowledge about functional connectivity in obsessive-compulsive disorder (OCD) is
based on small-scale studies, limiting the generalizability of results. Moreover, the majority …

Objective Although distinctive structural abnormalities occur in patients with schizophrenia,
detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging. This …

This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …