Visual perception is one of the basic tools for exploring the world. However, in
schizophrenia, this modality is disrupted. So far, there has been no clear answer as to …

Multidimensional progressive declines in the absence of standard biomarkers for
neurodegeneration are observed commonly in the development of schizophrenia, and are …

Technical developments and improved access to neuroimaging techniques have brought us
closer to understanding the neuropathological origins of schizophrenia. Using data-driven …

Abstract Machine learning can be used to define subtypes of psychiatric conditions based
on shared biological foundations of mental disorders. Here we analyzed cross-sectional …

Previous neuroimaging studies have mainly focused on alterations of static and dynamic
functional connectivity in patients with generalized anxiety disorder (GAD). However, the …

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

Resting-state functional MRI (rsfMRI) is a useful technique for investigating the functional
organization of human gray-matter in neuroscience and neuropsychiatry. Nevertheless …

Schizophrenia is a widespread psychiatric disorder that affects 0.5–1.0% of the world's
population and induces significant, long-term disability that exacts high personal and …

Parkinson's disease (PD) is a progressive neurodegenerative disease characterized by both
motor and non‐motor symptoms. A convergent pathophysiological hallmark of PD is an early …

Schizophrenia is thought as a self-disorder with dysfunctional brain connectivity. This self-
disorder is often attributed to high-order cognitive impairment. Yet due to the frequent report …