Understanding how the brain processes and transmits information is one the fundamental challenges for current basic and medical research. Recent evidence suggests two broad classes of processes can be distinguished that seem to support different functions and are characterized by distinct biological correlates: 1) a "feedforward" mode that transmits information based upon the characteristics of the incoming stimulus and 2) a "feedback" mode that is governed by the internal activity of the brain, such as expectations and predictions about events. This distinction may be fundamental for gaining novel insights into how the brain operates under normal circumstances and how changes in these two different modes may contribute to psychiatric disorders, such as schizophrenia (ScZ). Until now, distinguishing these different brain modes using non-invasive brain imaging, such as functional magnetic resonance imaging (fMRI) or Magnetoencephalography (MEG), has been challenging. However, novel evidence from basic anatomy and biology has suggested that distinct brain waves at different frequencies as well as particular brain layers may support these different brain modes. As a result, we will attempt for the first time to identify these brain modes through using state-of-the-art brain imaging and thus gain a new understanding of how the brain transmits information and how these processes might contribute to ScZ. In the first part of the project, we will present healthy volunteers sequences of sounds while they watch a movie. During this task, we measure their brain waves with a MEG-machine. In particular, we are interested in finding out whether changes in rhythms of neural activity, so-called "oscillations", may be influenced by the presence of sounds that deviate in duration. In particular, we aim to show that the flow of these oscillations between brain regions will change depending on whether a sound is different or not. The MEG-recordings will be accompanied by fMRI-measurements at 7 Tesla. In contrast to the majority of fMRI-research which is carried out with a field strength of 3 Tesla, we expect that fMRI-recordings at 7 Tesla reveal novel details about brain activity that cannot be observed with conventional fMRI-machines. In particular, based on our prior work in this area, we expect that we can observe brain activity in different layers which may be crucial for gaining new insights into how the brain uses different channels to communicate. Based on these new insights, we will then apply this framework to understand changes in brain activity in ScZ-patients and young people who are at high-risk for developing the disorder. ScZ is a common mental disorder which is associated with a range of complaints, including hallucinations and delusions. These symptoms of psychosis are accompanied by pronounced impairments in perception and cognition. A better understanding of cognitive deficits is particularly important because current treatments are unable to improve perception and memory functions which result in difficulties of patients' to organize their lives and maintain employment. We expect that our ability to distinguish different brain modes will allow us to identify the cause of patients' difficulties in perceiving the world and their problems in organizing their thoughts. Specifically, we will identify whether the problem for patients with ScZ is to register the information coming into the brain or whether their problems lies more in controlling their thoughts and perceptions through prior assumptions which are generated in higher brain areas. As a result, we expect that in addition to identifying the causes of ScZ, this approach may be relevant for novel therapies and early detection and diagnosis as it could inform whether therapies should focus on improving the ability to perceive auditory and visual information as opposed to focussing on the assumptions and thoughts about the world a patient may have.