Schizophrenia patients always show cognitive impairment, which is proved to be related to
hypo-connectivity or hyper-connectivity. Further, individuals with an ultra-high risk for …

EEG microstate analysis is an approach to study brain states and their fast transitions in
healthy cognition and disease. A key limitation of conventional microstate analysis is that it …

Schizophrenia is a severe psychiatric disorder associated with altered connectivity of brain
functional networks (BFNs). Researchers have observed a profound disruption in prefrontal …

Introduction The cognitive and psychotic symptoms in patients with schizophrenia (SZ) are
thought to result from disrupted brain network connectivity. Methods We capitalize on the …

Schizophrenia is characterized by lowered efficiency in distributed information processing,
as indicated by research that identified a disrupted small-world functional network. However …

Our understanding of cerebellar involvement in brain disorders has evolved from motor
processing to high-level cognitive and affective processing. Recent neuroscience progress …

The complexity of the human brain's activity and connectivity varies over temporal scales
and is altered in disease states such as schizophrenia. Using a multi-level analysis of …

The disconnection hypothesis of schizophrenia says that symptoms are explained by
dysfunctional connections across a wide range of brain networks. Despite some support for …

Schizophrenia and bipolar disorder share some common clinical features and are both
characterized by aberrant resting-state functional connectivity (FC). However, little is known …

Dynamic functional connectivity (DFC) was established in the past decade as a potent
approach to reveal non-trivial, time-varying properties of neural interactions–such as their …