Chantal Michel

TL;DR: In this article, the authors provided evidence-based recommendations on early intervention in clinical high risk (CHR) states of psychosis, assessed according to the EPA guidance on early detection, derived from a meta-analysis of current empirical evidence on the efficacy of psychological and pharmacological interventions in CHR samples.

TL;DR: A strong age effect was detected around age 16: compared to older individuals, 8‐15‐year olds reported more perceptive APS, that is, unusual perceptual experiences and attenuated hallucinations, which were generally less related to functional impairment, regardless of age.

TL;DR: This prognostic study evaluates whether psychosis transition can be predicted in patients with clinical high-risk syndromes or recent-onset depression by multimodal machine learning that optimally integrates clinical and neurocognitive data, structural magnetic resonance imaging, and polygenic risk scores for schizophrenia.

TL;DR: Primary analyses suggest that a revised syndrome would also possess higher clinical significance than the current syndrome, and particularly, the onset/worsening criterion, originally included to increase the likelihood of progression to psychosis, lowered its prevalence.

TL;DR: The emerging evidence of an association between BSs and aberrant brain activation, connectivity patterns, and metabolism is reviewed, and promising routes for the use of BSs in aetiopathological research on psychosis are outlined.