Functional magnetic resonance imaging (fMRI) is one of the most important methods for in
vivo investigation of cognitive processes in the human brain. Within the last two decades, an …

Drug development today needs to balance agility, speed and risk in defining the probability
of success for molecules, mechanisms and therapeutic concepts. New techniques in …

A widely used technique for coordinate‐based meta‐analyses of neuroimaging data is
activation likelihood estimation (ALE). ALE assesses the overlap between foci based on …

Finger-tap** tasks are one of the most common paradigms used to study the human motor
system in functional neuroimaging studies. These tasks can vary both in the presence or …

Recent evidence on resting-state networks in functional (connectivity) magnetic resonance
imaging (fcMRI) suggests that there may be significant spatial variability of activity foci over …

The intra-class class correlation coefficient (ICC) is a prominent statistic to measure test–
retest reliability of fMRI data. It can be used to address the question of whether regions of …

Functional MRI is widely used for imaging the neural correlates of psychological processes
and how these brain processes change with learning, development and neuropsychiatric …

Studies of human primary somatosensory cortex (S1) have placed a strong emphasis on the
cortical representation of the hand and the propensity for plasticity therein. Despite many …

Recent efforts to use fMRI to investigate the effects of acupuncture needle manipulation on
the brain have yielded discrepant results. This study was designed to test the reliability of …

Over the past three decades, functional neuroimaging has amassed abundant evidence of
the intricate interplay between brain structure and function. However, the potential …