Brain imaging has revolutionized neural science over the past decades through the identification and description of the neural circuits involved in social cognition, cognitive control, memory, empathy, mood regulation and many other domains. The characterization of these neural circuits at the level of brain structure and function has deepened our understanding of the neural underpinnings of virtually all psychiatric disorders, from ADHD and autism to anxiety and mood disorders, and from schizophrenia to bipolar illness and Alzheimer's disease. One significant newly acquired insight is that psychiatric disorders may be understood best not so much by a neural lesion model focused on discovering specific brain regions where ADHD, autism and other disorders 'reside'. Rather, a disruption of optimal structural and functional connectivity between separate areas of the brain, alongside interference of well-coordinated and synchronized activity of various neural systems turn out to be a most valuable perspective for understanding the biological basis of psychiatric disorders. These may be conceptualized as 'systems disorders of the brain' [1][2][3][4][5]. Brain imaging has also started to add a developmental perspective by outlining how neural circuits develop over age and how this influences and interacts with maturation of cognitive functions and development of behavioral competences. As such, developmental psychopathology has been complemented by developmental neuroscience, i.e. the study of individual patterns of development of the structure and functions of the brain. This includes the study of the development of neurochemical systems, myelinization, grey/white matter growth, synaptic function, etc., as well as the study of the genetic and environmental causes of individual variability. Together with progress in identifying genetic risk factors for psychiatric illness, brain imaging, and brain imaging genetics confer the opportunity to provide mechanistic explanations about how genetic and environmental risk factors may affect neural circuits and cognitive systems, and how this may lead to clinical symptoms [6][7][8].The current issue provides four review papers on brain imaging that are relevant for child and adolescent psychiatry. Johnston et al. [9] discuss the clinical relevance of brain imaging for clinical prediction in psychiatry. In particular, the application of pattern detection technique such as support vector machines has already demonstrated its potential to predict diagnostic status and might further contribute to predictions on treatment response and course of the disorder. Rubia [10] reviews the functional MRI literature on the functional development of cognitive and motivational control, timing, and attention, as well as the development of resting state neural networks. She signals a shift with age from bottom-up processing regions to topdown control in cortico-cortical and cortico-subcortical pathways. Although psychological trauma is a frequent cause of psychopathology at all ages, research into...