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Neuroscience Network Düsseldorf

The Neuroscience Network Düsseldorf is a collaborative research network in which basic and clinical neuroscientists from the Heinrich Heine University (HHU) Düsseldorf, the Research Centre Jülich, and the IUF - Leibniz Research Institute for Environmental Medicine Düsseldorf work together in multidisciplinary projects ranging from basic brain research to translational and clinical neuroscience.

A particular focus is placed on the investigation of disease-associated pathomechanisms in common diseases of the central nervous system, in particular multiple sclerosis, Alzheimer's and Parkinson's diseases, brain tumours, traumatic brain and spinal cord injury, and metabolic encephalopathies. These diseases constitute a major medical problem in our society and pose enormous socio-economic challenges. Thus, the common research aim of the participating groups is to improve the understanding of molecular, cellular and systemic mechanisms causing these diseases, and to translate novel experimental findings into better diagnostic tools and more effective therapies.

In addition, excellent research training opportunities for junior researchers from both medicine and the natural sciences are offered, including structured programmes that provide master students, as well as doctoral and postdoctoral researchers with the instruction, research experience and mentoring they need to become future leaders in disease-related neuroscience research.


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Recent Publications

| NND-Publikationen

Krzysztof W Selmaj et al., Mult Scler. 2025

Long-term safety and efficacy of ozanimod in relapsing multiple sclerosis: Final analysis of the DAYBREAK open-label…

| NND-Publikationen

Benedetta Fazari et al., Sci Rep. 2025

5-HT1A receptor antagonism decreases motor activity and influences dopamine and serotonin metabolization pathways,…

| NND-Publikationen

Afsaneh Labbaf et al., J Neurosci. 2025

TREK1 channels shape spindle-like oscillations, neuronal activity, and short-term synaptic plasticity in thalamocortical…

| NND-Publikationen

Robin C M Thomma et al., Brain. 2025

Large-scale profiling of antibody reactivity to glycolipids in patients with Guillain-Barré syndrome.

| NND-Publikationen

Fayed Rassoulou et al., NPJ Digit Med. 2025

Electrophysiological signatures predict the therapeutic window of deep brain stimulation electrode contacts.

| NND-Publikationen

Gianna Kuhles et al., Sci Rep. 2025

Pitfalls in using ML to predict cognitive function performance.

| NND-Publikationen

Lars Masanneck et al., J Med Internet Res. 2025

Evaluating Web Retrieval-Assisted Large Language Models With and Without Whitelisting for Evidence-Based Neurology:…

| NND-Publikationen

Victoria D M Molinari et al., Neurol Res Pract. 2025

Subthalamic beta peak power ratio as an electrophysiological marker for deep brain stimulation contact selection in…

| NND-Publikationen

Elham Poonaki et al., Cells. 2025

ZEB1 and Neural Stem Cells: Insights into Microglia-Conditioned Medium-Driven Neuroinflammation.