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

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 …

Social behaviors are crucial to all mammals. Although the prelimbic cortex (PL, part of
medial prefrontal cortex) has been implicated in social behavior, it is not clear which …

Schizophrenia (SZ) and bipolar disorder (BP) share significant overlap in clinical symptoms,
brain characteristics, and risk genes, and both are associated with dysconnectivity among …

Despite an increasing number of published voxel based morphometry studies of
schizophrenia, there has been no adequate attempt to examine gray (GM) and white matter …

A genetically valid animal model could transform our understanding of schizophrenia (SCZ)
disease mechanisms. Rare heterozygous loss-of-function (LoF) mutations in GRIN2A …

Real‐time functional magnetic resonance imaging (rtfMRI) is a novel technique that has
allowed subjects to achieve self‐regulation of circumscribed brain regions. Despite its …

Many neurological and psychiatric disorders affect the cerebral cortex, and a clearer
understanding of the molecular processes underlying human corticogenesis will provide …

The neural mechanisms behind cognitive deficits in schizophrenia still remain unclear.
Functional neuroimaging studies on working memory (WM) yielded inconsistent results …

We hypothesize that linguistic (dis-) organization in the schizophrenic brain plays a more
central role in the pathogenesis of this disease than commonly supposed. Against the …