It is becoming increasingly clear that combining multimodal brain imaging data provides
more information for individual subjects by exploiting the rich multimodal information that …

Background: Seed-based studies on resting-state functional connectivity (rsFC) in
schizophrenia have shown disrupted connectivity involving a number of brain networks; …

Schizophrenia is a complex mental disorder with disorganized communication among large-
scale brain networks, as demonstrated by impaired resting-state functional connectivity …

Evidence that childhood adversities are risk factors for psychosis has accumulated rapidly.
Research into the mechanisms underlying these relationships has focused, productively, on …

Schizophrenia has been conceptualized as a disorder of altered brain connectivity (ie
dysconnectivity). Until relatively recently, it was not feasible to test dysconnectivity …

Despite significant advances in multimodal imaging techniques and analysis approaches,
unimodal studies are still the predominant way to investigate brain changes or group …

Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important
hub for elucidating the convergent and divergent neural substrates in schizophrenia and …

Computational brain-imaging studies of individuals at familial high risk for psychosis have
provided interesting results, but interpreting these findings can be a challenge due to a …

Background Psychotic disorders are characterized by structural and functional abnormalities
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …

Dopamine is known to play a role in the pathogenesis of psychotic symptoms, but the
mechanisms driving dopaminergic dysfunction in psychosis remain unclear. Considerable …