The brain is constantly bombarded by stimuli, and the relative salience of these inputs
determines which are more likely to capture attention. A brain system known as the'salience …

Neuroimaging studies report evidence for two distinct pathophysiological models of
obsessive-compulsive disorder (OCD): disrupted fronto-striatal circuits and impaired large …

Purpose Recently, functional brain networks (FBN) have been used for the classification of
neurological disorders, such as Autism Spectrum Disorders (ASD). Neurological disorder …

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

With the advent of new analysis methods in neuroimaging that involve independent
component analysis (ICA) and dynamic causal modelling (DCM), investigations have …

Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …

Ego‐disturbances have been a topic in schizophrenia research since the earliest clinical
descriptions of the disorder. Manifesting as a feeling that one's “self,”“ego,” or “I” 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 …

Major depressive disorder (MDD) is characterized by altered intrinsic functional connectivity
within (intra-iFC) intrinsic connectivity networks (ICNs), such as the Default Mode-(DMN) …

Motivation This study reports a framework to discriminate patients with schizophrenia and
normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain …