Quantifying, controlling, and monitoring image quality is an essential prerequisite for ensuring the validity and reproducibility of many types of neuroimaging data analyses. Implementation of quality control (QC) procedures is the key to ensuring that neuroimaging data are of high-quality and their validity in the subsequent analyses. We introduce the QC system of the Laboratory […]

Effective (fast, reliable, and accurate) information propagation through multiple brain regions underlies cognitive processes. However, it remains unclear how neural circuits support the propagation, particularly over a background of irregular firing and response latency. Here, we propose a temporal coding model for the cellular and network mechanisms of the cortical propagation through the anatomical-functional integration […]

Purpose: Predicting patient survival outcome is recognized as key importance to clinicians in oncology toward determining an ideal course of treatment and patient management. This study applies radiomics analysis on pre-operative multi-parametric MRI of patients with glioblastoma from multi-institution to identify a signature and a practical machine learning model for stratifying patients into groups based […]