Neuroimaging genomic studies of autism spectrum disorder and schizophrenia have mainly
adopted a 'top-down'approach, beginning with the behavioural diagnosis, and moving down …

Abstract Background and Hypothesis The neurocomputational framework of predictive
processing (PP) provides a promising approach to explaining delusions, a key symptom of …

Importance Physical health and chronic medical comorbidities are underestimated,
inadequately treated, and often overlooked in psychiatry. A multiorgan, systemwide …

Importance The ENIGMA clinical high risk (CHR) for psychosis initiative, the largest pooled
neuroimaging sample of individuals at CHR to date, aims to discover robust neurobiological …

Importance Large-scale neuroimaging studies have revealed group differences in cortical
thickness across many psychiatric disorders. The underlying neurobiology behind these …

Importance Schizophrenia is a complex heritable disorder associated with many genetic
variants, each with a small effect. While cortical differences between patients with …

Despite the high level of interest in the use of machine learning (ML) and neuroimaging to
detect psychosis at the individual level, the reliability of the findings is unclear due to …

Importance The lack of robust neuroanatomical markers of psychosis risk has been
traditionally attributed to heterogeneity. A complementary hypothesis is that variation in …

Introduction More than a century of research on the neurobiological underpinnings of major
psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia …

Abstract Study Objectives Structural brain maturation and sleep are complex processes that
exhibit significant changes over adolescence and are linked to many physical and mental …