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The Divisions of the INM


Structural and Functional Organisation of the Brain (INM-1)

INM-1 will develop a 3D model of the human brain, taking into account cytoarchitectonics, connectivity, molecular structure, genetics and brain function.

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Molecular Organization of the Brain (INM-2)

The INM-2 is devoted to the investigation of molecular basics of different functional systems in the healthy and diseased brain as well as their organisation in neuronal networks.

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Cognitive Neuroscience (INM-3)

From understanding of cognitive processes to the development of new therapeutic strategies for neurologic deficits.

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Medical Imaging Physics (INM-4)

The research and development activities of the Medical Imaging Physics division (INM-4) of the Institute of Neuroscience and Medicine focus on the development, experimental validation and the clinical implementation of novel brain imaging methods.

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Nuclear Chemistry (INM-5)

The research activities of the INM-5 focus on the production and development of radioactive probes (tracers) for the elucidation of structure, function and dysfunction of the brain. The investigations focus on neurodegenerative diseases (Alzheimer's dementia, Parkinson's disease, etc.) but also on tracers for the detection and treatment of tumors. For this research, a unique infrastructure with cyclotron, radiochemical and preclinical laboratories is available at the INM-5 and allows an efficient translation of research into the clinic.

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Key visual INM6

Computational and Systems Neuroscience (INM-6)

Progress in the understanding of complex systems like the brain can only  be achieved by integrating models on many different scales. The  research performed at the institute for Computational and Systems  Neuroscience develops such multi-scale models of the brain, combining  data-driven development of brain theory combined with the bottom-up approach of  directly simulated structured networks, and the top down approach,  mapping functional models of higher brain function to spiking dynamics.

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Brain and Behaviour (INM-7)

The goal of INM-7 (Brain & Behaviour) is to develop a better understanding of the organizational principles of the human brain, to model or predict inter-individual differences using innovative machine learning approaches, and ultimately to develop new approaches for individual diagnosis and prognosis in neurological or psychiatric patients.

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Ethics in the Neurosciences (INM-8)

The INM-8 deals with ethical issues raised by modern neuroscientific research. These include, for example, questions about how the principle of informed consent can be implemented in dementia research and how neuro-enhancement is to be evaluated ethically. Another topic are diagnostic and predictive procedures that use artificial intelligence methods. In addition, the INM-8 investigates whether basic ethical and philosophical concepts such as "person" or "responsibility" need to be revised in light of the latest neuroscientific findings.

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Computational Biomedicine (INM-9 / IAS-5)

INM-9 develops and applies HPC-based multi-scale molecular simulation tools, along with structural bioinformatics, to investigate molecular processes playing important roles for neuronal function and dysfunction. This knowledge is then exploited for in silico ligand design towards translational neuroscience.

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JARA-Institut Brain Structure-Function Relationships (INM-10)

INM-10 develops comprehensive models of brain functions and dysfunctions also with relevance to psychiatric diseases. Here, it is important for us to understand and model the functionally relevant spatial and temporal scales in the brain experimentally. For successful integration of the scales, we explore methods of digitization and quality assurance of scientific workflows.

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JARA-Institut Molecular Neuroscience and Neuroimaging (INM-11)

INM-11 is a JARA institute in collaboration with RWTH Aachen University. The institute develops translational scientific approaches to enable individualized biologically based early diagnosis and prognosis assessment of neuropsychiatric and neurological diseases,  across the entire life-span. New imaging methods, computational analyses and novel therapeutic molecules are  used to conduct clinical trials with the goal of causally intervening in disease processes to develop more effective long-term treatment and prevention approaches.

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