The goal of the INM-7 is to obtain a more detailed characterization of the organization of the human brain and its inter-individual variability in order to better understand its changes in advanced age as well as neurological and psychiatric disorders. Based on this knowledge, new approaches for diagnosis and outcome prediction at the level of individual patients are developed.

We pursue this objective by combining multi-modal MR imaging, detailed neuropsychological characterization and innovative methods of data analysis and simulation. An important focus of the institute is to provide the developed tools and results to the scientific public in the form of software and data sets enabling the broad use of our research.

Focus

Brain Mapping

We develop and employ innovative methods for multi-modal mapping of brain regions and distributed networks in-vivo as well as the inference on their associated functions. More: Brain Mapping …

Clinical Translation

A key goal of our research is to provide tools and platforms advancing the accuracy of diagnostic tools and outcome predictions through the application machine-learning approaches to imaging data and other clinical information. More: Clinical Translation …

Imaging Data Analysis

We combine latest imaging data analysis tools into advanced pipelines and toolboxes to optimize modality-specific data processing and cross-modal comparability. More: Imaging Data Analysis …

Interindividual Variability

People are different and so are brains. Hence we combine neuroimaging with statistical learning to investigate the relationship between neurobiological and phenotypical variability in large samples. More: Interindividual Variability …

Meta-Analysis

A long-standing focus of our work is the development and application of meta-analytic approaches for the statistical aggregation of neuroimaging findings into consolidated information on functional neuroanatomy. More: Meta-Analysis …

Modelling & Simulation

We utilize theoretical and numerical modelling approaches to investigate the emergence of spatio-temporal patterns of neuronal dynamics based on the brain connectivity revealed by experimental studies. More: Modelling & Simulation …