Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical
and functional differences between healthy individuals and patients suffering a wide range …

Translating advances in neuroscience into benefits for patients with mental illness presents
enormous challenges because it involves both the most complex organ, the brain, and its …

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

Psychiatric disorders are increasingly being recognised as having a biological basis, but
their diagnosis is made exclusively behaviourally. A promising approach for …

Importance The structural abnormalities in the brain that accurately differentiate unipolar
depression (UD) and bipolar depression (BD) remain unidentified. Objectives First, to …

A serious problem in psychiatric practice is the lack of specific, objective biomarker-based
assessments to guide diagnosis and treatment. The use of such biomarkers could assist …

Fully automated classification algorithms have been successfully applied to diagnose a wide
range of neurological and psychiatric diseases. They are sufficiently robust to handle data …

Abstract Machine learning methods hold promise for personalized care in psychiatry,
demonstrating the potential to tailor treatment decisions and stratify patients into clinically …

Depression is a complex clinical entity that can pose challenges for clinicians regarding both
accurate diagnosis and effective timely treatment. These challenges have prompted the …