The science of large-scale brain networks offers a powerful paradigm for investigating
cognitive and affective dysfunction in psychiatric and neurological disorders. This review …

The concept of the brain as a prediction machine has enjoyed a resurgence in the context of
the Bayesian brain and predictive coding approaches within cognitive science. To date, this …

Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

We describe a theoretical model of the neurocognitive mechanisms underlying conscious
presence and its disturbances. The model is based on interoceptive prediction error and is …

An update to the classic text that links neuroscience and human behavior in the context of
therapy. This groundbreaking book explores the recent revolution in psychotherapy that has …

Importance Social and occupational impairments contribute to the burden of psychosis and
depression. There is a need for risk stratification tools to inform personalized functional …

In a small fraction of patients with schizophrenia or autism, alleles of copy-number variants
(CNVs) in their genomes are probably the strongest factors contributing to the pathogenesis …

Current researchers mostly agree that the self consists of both bodily and non-bodily
environmental information. The neural mechanism underlying the integration of this …

Alterations in brain intrinsic activity—as organized in resting-state networks (RSNs) such as
sensorimotor network (SMN), salience network (SN), and default-mode network (DMN) …

Antipsychotic drugs are the mainstay in the treatment of schizophrenia. However, one-third
of patients do not show adequate improvement in positive symptoms with non-clozapine …