Investigation of Electro-mechanical Coupling in Neuronal Membrane - Towards an Electro-mechanical Model of Nerve Pulse Propagation
Biophysics
Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
Statistical Physics, Nonlinear Dynamics, Complex Systems, Soft and Fluid Matter, Biological Physics
Theoretical Chemistry: Molecules, Materials, Surfaces
Thermodynamics and Kinetics as well as Properties of Phases and Microstructure of Materials
Final Report Abstract
1. The MLPB model explained in the project proposal was modified to include the temperature-dependent polarization during the melting transitions. 2. The model was applied to a bilayer of lipids (membrane without proteins), and it was proven that the zwitterionic lipids contribute the most to the resting potential of -75mV. 3. A hypothesis of action potential due to phase transition of lipids and consequent concentration change in the intracellular membrane is proposed. The results are quantitatively and qualitatively comparable to Hodgkin and Huxley's potential profiles shown in their seminal work. 4. Our analysis suggests that the FHN model has quite similar to the Heimburg-Jackson model, which resulted in a combined model- the electromechanical model of nerve pulse propagation. 5. Our new model, the electromechanical nerve pulse propagation model, for myelinated axons can explain all the thermodynamic, electrical and mechanical phenomena during the pulse propagation. The approach taken up in this project could be expanded in different directions to work on a multiscale model for nerve pulse propagation in the context of neural implants such as cochlear implants, retinal implants and also to the deep brain stimulation. The literature survey has shown that the mechanisms of action of these neural implants are not understood well until now. The effect of the external electric field on the neurons should be investigated not just in the direction of action potential but also on the electromechanical properties of the membrane to answer the open questions in the field. Hence, it is essential to continue the research in these directions.
Publications
- "3D axonal network coupled to Microelectrode Arrays: A simulation model to study neuronal dynamics," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, 2015, pp. 4700-4704
R. Appali, K. K. Sriperumbudur and U. van Rienen
(See online at https://doi.org/10.1109/EMBC.2015.7319443) - "Challenges in modeling nerve-electrode interactions of neuronal implants," 2016 URSI International Symposium on Electromagnetic Theory (EMTS), Espoo, 2016, pp. 534-537
R. Appali, K. K. Sriperumbudur and U. van Rienen
(See online at https://doi.org/10.1109/URSI-EMTS.2016.7571447) - Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations. Neural Comput. 2017; 29(11):2955-2978
R. Bestel, R. Appali, U. van Rienen, C. Thielemann
(See online at https://doi.org/10.1162/neco_a_01019) - "Extracellular Stimulation of Neural Tissues: Activating Function and Sub-threshold Potential Perspective *," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 6273-6277
R. Appali, K. K. Sriperumbudur and U. van Rienen,
(See online at https://doi.org/10.1109/EMBC.2019.8857113) - Influence of neuronal morphology on the shape of extracellular recordings with Microelectrode Arrays: A finite element analysis. IEEE Transactions on Biomedical Engineering. 2020 Sep
R. Bestel, U. van Rienen, C. Thielemann, R. Appali
(See online at https://doi.org/10.1109/TBME.2020.3026635)
