Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …

Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

The posterior cingulate cortex is a highly connected and metabolically active brain region.
Recent studies suggest it has an important cognitive role, although there is no consensus …

Attention deficit hyperactivity disorder (ADHD) is one of the most common mental health
disorders. As a neuro development disorder, neuroimaging technologies, such as magnetic …

Resting-state fMRI measures spontaneous low-frequency fluctuations in the BOLD signal to
investigate the functional architecture of the brain. Application of this technique has allowed …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

During resting conditions the brain remains functionally and metabolically active. One
manifestation of this activity that has become an important research tool is spontaneous …

Although the human brain may have evolutionarily adapted to face-to-face communication,
other modes of communication, eg, telephone and e-mail, increasingly dominate our …

In this review we are concerned specifically with the putative role of the default-mode
network (DMN) in the pathophysiology of mental disorders. First, we define the DMN concept …