Chaozhe Zhu

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: 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: The proposed fractional ALFF (fALFF) approach improved the sensitivity and specificity in detecting spontaneous brain activities and the brain areas within the default mode network including posterior cingulate cortex, precuneus, medial prefrontal cortex and bilateral inferior parietal lobule had significantly higher fALFF than the other brain areas.

TL;DR: The results demonstrate the highly organized modular architecture and associated topological properties in the temporal and spatial brain functional networks of the human brain that underlie spontaneous neuronal dynamics, which provides important implications for understanding of how intrinsically coherent spontaneous brain activity has evolved into an optimal neuronal architecture to support global computation and information integration in the absence of specific stimuli or behaviors.

TL;DR: This study provides quantitative evidence on how the topological organization of brain networks is affected by the different parcellation strategies applied and found that there were significant differences in multiple topological parameters between the two groups of brain functional networks derived from the two atlases.