During dental pain the pain stimulus come through the trigeminal nerve from the dental nerve placed in pulp. The hard tissue (i.e. dentin) encompasses the pulp contains 20000 micro tubules per square millimeter on average. In these tubules there are physiological saline which makes possible to record the pulpal nerves activities through the tubules on the surface of dentin. This method is called dentin recording.
Through the dental tubules the pain stimulus is mediated too. In case of the enamel is damaged the external stimuli can reach the surface of the dentin, which is stimulating the nearest dental nerve in pulp. If the stimuli doesn't cease then the other nerves of the pulp will show increased activities because of the neuroplasticity. The inflammation processes are associated with neuroplasticity which makes difficult the localisation of the source of the pain stimulus. This is why the research of the neuroplasticity requires signal recording from very small areas.
In this paper I present an applied biomedical research. The Department of Oral Diagnostics, Faculty of Dentistry, Semmelweis University in cooperation with Institute of Cognitive Neuroscience and Psychology, RCNS, HAS allows me to create a brand-new dentin recording method. The method make an electrophysiological signal lead possible, which can simultaneously measure the potentials on the surface of dentin on more channels and in a much higher resolution supported by a MEMS technology fabricated microelectrode system.
In the first part of the thesis I'm reviewing the general biological and constructional structure of the nervous system, the evolving of the the nerve activity, the histology of the tooth and the neuroanatomical base of the pain. I'm presenting the method of the dentin recording and the previous methods of it. In the second part I'm demonstrating the research process of a brand-new method of the dentin recording. In this part I've made dentin recording process with several MEMS technology fabricated microelectrode system, using various stimulus and 3D printed measuring chambers developed and designed by me. After the materials and methods I'm presenting the process of the interpretation of the signal recording and the simulations, which were made to verify the recorded potentials on the surface of the dentin. Finally, I'm demonstrating the results of my research and with the potential options I'm mantioning the possible in vivo analysis of my dentin recording method including the probable application in clinics.