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

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

Individuals with schizophrenia consistently display deficits in a multitude of cognitive
domains, but the neurobiological source of these cognitive impairments remains unclear. By …

Network science provides theoretical, computational, and empirical tools that can be used to
understand the structure and function of the human brain in novel ways using simple …

Neuropsychiatric disorders are associated with abnormal function of the default mode
network (DMN), a distributed network of brain regions more active during rest than during …

Schizophrenia is a severe mental disorder characterized by impaired perception, delusions,
thought disorder, abnormal emotion regulation, altered motor function, and impaired drive …

Background A lack of a sufficiently large sample at single sites causes poor generalizability
in automatic diagnosis classification of heterogeneous psychiatric disorders such as …

Recently, functional network connectivity (FNC, defined as the temporal correlation among
spatially distant brain networks) has been used to examine the functional organization of …

The disconnection hypothesis suggests that the core symptoms of schizophrenia (SZ) are
related to aberrant, or 'dys-', connectivity between distinct brain regions. A proliferation of …

Brain regions are not independent. They are interconnected by white matter tracts, together
forming one integrative complex network. The topology of this network is crucial for efficient …