Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …

Background The foundation of health and medical research is data. Data sharing facilitates
the progress of research and strengthens science. Data sharing in research is widely …

The profile of brain structural abnormalities in schizophrenia is still not fully understood,
despite decades of research using brain scans. To validate a prospective meta-analysis …

The ability of automatic feature learning makes Convolutional Neural Network (CNN)
potentially suitable to uncover the complex and widespread brain changes in schizophrenia …

Although both schizophrenia and gray matter volume (GMV) show high heritability, however,
genes accounting for GMV alterations in schizophrenia remain largely unknown. Based on …

Highlights•We present Neuroharmony, a harmonization tool for images from unseen
scanners.•We developed Neuroharmony using a total of 15,026 sMRI images.•The tool was …

Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …

Schizophrenia (SCZ) is a brain disorder where different people experience different
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …

Abstract SchizConnect (www. schizconnect. org) is built to address the issues of multiple
data repositories in schizophrenia neuroimaging studies. It includes a level of mediation …

Human brain networks based on neuroimaging data have already proven useful in
characterizing both normal and abnormal brain structure and function. However, many brain …