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Willkommen

Das Institut für Neuroanatomie der MUI erforscht die zellulären und molekularen Grundlagen von axonaler Regeneration und neuronaler Degeneration. Unsere Untersuchungen zielen auf eine verbesserte Behandlung neurologischer Erkrankungen durch Stimulation von neurotrophen Signalwegen.

Im Bereich der neuroanatomischen Lehre bieten wir medizinischen und naturwissenschaftlichen Studierenden der Universität einen modernen und praxisnahen Unterricht anhand von Präparaten, Modellen und histologischen Schnitten (klassisch und digital).

Neuroanatomische Grundlagen zum Auf- und Abbau des Gehirns sowie aktuelle Aspekte zu neurodegenerativen Erkrankungen und axonaler Regeneration finden sich in einem wissenschaftlichen Blog des Institutsleiters.

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Welcome

The study of the morphological basis of neuronal function remains a subject of tremendous fascination and a key to better understanding of the nervous system. Unraveling the variety of neuronal circuits and their interactions with peripheral sensors and effector organs is as much relevant now as it was over 100 years ago in the time of Golgi and Cajal. Neural tract tracing, cell lineage mapping or the study of morphological plasticity of dendritic spines and axonal arbors all require advanced neuromorphological and imaging techniques.

As Gerald Edelman, the American who received the 1972 Nobel Prize in Physiology or Medicine for work on the immune system, once wrote: "If someone held a gun to my head and threatened oblivion if I did not identify the single word most significant for understanding the brain, I would say 'neuroanatomy'. Indeed, perhaps the most important general observation that can be made about the brain is that its anatomy is the most important thing about it."

However, as Georg F. Striedter in his insightful book 'Principles of Brain Evolution' puts it, "reconstructions ... are interesting and important but, ultimately, they are not enough. Henri Poincaré, the French mathematician and philosopher, clearly expressed this sentiment: Science is built with facts, as a house is built with stones; but a collection of facts is no more a science than a pile of stones is a house ... Above all, the scientist must make predictions."