Yufeng Wang

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: 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 present study provided the first evidence for brain dysfunction in ADHD from the viewpoint of global organization of brain functional networks by using resting‐state fMRI.

TL;DR: Fundamental connectivity patterns in individuals are capable of differentiating the two most prominent ADHD subtypes, and resting-state functional connectivity MRI data can be used to characterize individual patients with ADHD and to identify neural distinctions underlying the clinical heterogeneity of ADHD.

TL;DR: Resting-state low-frequency fluctuations of blood oxygen level-dependent fMRI signals are used to investigate the resting-state functional connectivity pattern differences of dACC in adolescents with and without ADHD and suggest these abnormally more significant functional connectivities in the ADHD patients may indicate the abnormality of autonomic control functions in them.