Yong He

TL;DR: This work has developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models, and helps researchers to visualize brain networks in an easy, flexible and quick manner.

TL;DR: A new marker of functional magnetic resonance imaging, amplitude of low-frequency fluctuation (ALFF) fluctuation, is used to investigate the baseline brain function of children with attention deficit hyperactivity disorder and suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.

TL;DR: ReHo can consider as a complementary method to model-driven method, and it could help reveal the complexity of the human brain function, in which KCC was used to measure the similarity of the time series of a given voxels to those of its nearest neighbors in a voxel-wise way.

TL;DR: A toolkit for the analysis of RS-fMRI data, namely the RESting-state fMRI data analysis Toolkit (REST), which was developed in MATLAB with graphical user interface (GUI).

TL;DR: This study investigated large-scale anatomical connection patterns of the human cerebral cortex using cortical thickness measurements from magnetic resonance images and showed that the human brain anatomical network had robust small-world properties with cohesive neighborhoods and short mean distances between regions that were insensitive to the selection of correlation thresholds.