Computational neurostimulation

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The characteristics of nerves, e. Computational modelling of nerves and electroceuticals that combines electromagnetic EM and neuronal simulation with electrophysiological models of axons and nerves within high-resolution anatomical human models, permits intelligent design of devices and the individuation of the best stimulating parameters.


Anatomically accurate models of nerves — derived from histology and medical imaging cross sections — that feature realistic morphology, fascicles, and axonal distribution are valuable tools for correct formulation of personalized stimulation settings. The aim of this project is the development of a computational platform and a pipeline to automatically create computational realistic models of nerves, starting from images of nerve cross sections and statistical nerve properties. The pipeline includes automatic image segmentation, tissue identification, axonal counting, and morphology reconstruction in 3D, and the reconstructed anatomical models will be used to functionalize anatomical human computational models in which nerve trajectories have been identified.

Computational neurostimulation in basic and translational research.

Depending on the interest and ability of the student the neuro-functionalized anatomical bodies will be used to perform neurostimulation investigations for design and optimization of electroceuticals, evaluate safety, and investigate mechanisms of action. Depending on the results, the resulting framework will be integrated in the commercial computational life sciences simulation platform Sim4Life. The project will give the student the opportunity to gain hands-on experience with these exciting techniques.

The extent of the project will be defined and finalized according to the interests and knowledge of the student. Martins, Ana Catarina dos Santos. Spinal Cord Magnetic Stimulation is able to change excitability and remodulate the spinal neuronal networks after Spinal Cord Injury.

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Clinical assessments allow the study of the changes in synaptic efficacy and behaviour after intervention. Nevertheless, the mechanisms underneath recovery are not fully understood.

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Computational modelling of neurostimulation has been revealed as an important tool to predict the interaction of electromagnetic fields with the biological tissues. Thus, this study is a proof of concept for the use of computational methods to understand the mechanisms of Magnetic Stimulation on the Spinal cord level.

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  3. Identifying optimal neurostimulation for epilepsy using computational approaches (IONECA).
  4. Problem Description;
  5. The main goal is to calculate the distribution and magnitude of the electric field and electric current density inside the human body during stimulation, both of which were calculated through numerical methods. First, the stimulation devices were modulated and compared with the properties of reference given by the manufacturer.

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