Objectives. This review aims to examine the current use of artificial intelligence (AI) in mental
health. The first step involves categorising AI algorithms into three subtypes: natural …

Psychiatric disorders have historically been classified using symptom information alone.
With the advent of new technologies that allowed researchers to investigate brain …

Clustering models or cluster analyses have been widely used to explore individual
heterogeneity in mental health research and psychology. Despite advances in new …

New approaches to the use of artificial intelligence (AI) to analyze data from neuroimaging
but also passively collected data from so-called wearables, such as smartphones or …

The transition from the MMPI-2 clinical scales to the restructured clinical (RC) scales
sparked controversy and debate on several levels of analysis. At the psychometric level, the …

Background: Experience of traumatic life events is likely to increase negative mood
symptoms and trigger the onset of affective disorders and post-traumatic stress disorder …

Abstract Schizophrenia Spectrum Disorders (SSD) exhibit pronounced variability between
and within-subjects. To better understand neurobiological heterogeneity within SSD …

Schizophrenia is marked by poor social functioning that can have a severe impact on quality
of life and independence, but the underlying neural circuity is not well understood. Here we …

Several factors, at different scales, support learning: molecular (genetic), cerebral (neural
networks), psychological and environmental (education, socioeconomic status, culture...) …

[spa] INTRODUCCIÓN: La esquizofrenia es un trastorno psiquiátrico complejo con una
importante variabilidad interindividual en los síntomas clínicos, el deterioro cognitivo, el …