ELAINE Lecture Series
- Location: LL&M Building, 18051 Rostock, Albert Einstein Str. 25, Room 110
- Starting time: 14:00
Wed, 27.02.19: Prof. Dr. Michael Gelinsky
Schedule of ELAINE Colloquia
Prof. Dr. Birgit Liss, University of Ulm
Ca2+ channels, dopamine and Parkinsons disease - it's not that simple
Dr. Karine Anselme, Institut de Science des Materiaux de Mulhouse (IS2M), Mulhouse
Materials to control biological cells function: a focus on the role of the nucleus in the cell response
IEEE Distinguished Lecturer Prof. Dr. Maurits Ortmanns, University of Ulm
Implantable electronics with Data and Power Telemetry
This talk will highlight some of the recent worldwide advances towards the realization of high channel count implantable neural interfaces, covering applications and system examples such as the retinal implant and neural modulators with high efficiency frontends, as well as give an overview of the supporting circuitry, such as transcutaneous data telemetry including safety and security aspects, power telemetry, and adaptive power management. It first reviews the common RF based approaches, and secondly highlights new approaches such as energy harvesting and non-RF communication.
Prof. Dr. Peter Wriggers, University of Hannover
Prof. Dr. Michael Gelinsky, TU Dresden
Strontium-modified calcium phosphate cements for the therapy of osteoporosis-related bone fractures and defects
Prof. Dr. Madeleine Lowery, University College Dublin
Multiscale Modelling of the Neuromuscular System for Closed Loop Deep Brain Stimulation
Deep brain stimulation (DBS) is an effective therapy for treating the symptoms of Parkinson’s disease. Despite its success, the mechanisms of DBS are not yet fully understood and there is a need to improve DBS to improve long-term stimulation across a wider patient population, limit side-effects, and extend stimulator battery life. Currently DBS operates in an ‘open-loop’ manner, with stimulus parameters empirically set and remaining fixed over time. The development of ‘closed-loop’ DBS systems, offer the possibility to continuously adjust stimulation parameters based on patient symptoms and side-effects. This offers to the potential to increase therapeutic efficacy while reducing side-effects, costs and energy. This talk will explore how computational modelling can be used to provide insight into the changes that occur within the human nervous system in Parkinson’s disease and how deep brain stimulation alters this behavior at the level of the individual cell and at the system level. Using the computational model, the ability of different closed-loop control systems to control biomarkers based on the local field potential recorded from the subthalamic nucleus are examined. Finally, preliminary results examining the response of the electrode tissue interface to in vivo chronic stimulation will be discussed.
Prof. Dr. Rüdiger Köhling, University of Rostock
EEG and rhythm generation, plus some remarks on the physical propagation of signals
The talk will address mechanisms of field potential generation in excitable tissues, as well as more specifically, current hypotheses on the physiological bases of EEG bands (a, b, q and d) and fast oscillations. In this context, the role of cortico-thalamic interactions vs. intracortical rhythm generation will be discussed. In addition, the talk will take the opportunity for a critical re-appraisal of mechanical wave propagation in neurons.
Prof. Dr. Thomas Heimburg, Niels Bohr Institute University of Copenhagen
The excitability of nerves and the role of anesthetics
It is a central paradigm in biology that excitatory events in cells are of purely electrical nature. The nervous impulse is attributed to the electrical activity of a class of proteins called voltage-gated ion channels. However, it is widely unknown that during the nerve pulse also the temperature, the thickness and the length of nerves change, i.e., properties that do not manifest themselves on the molecular scale. Furthermore, in contrast to expectations one finds no dissipation of energy in experiments on nerves. Many properties of nerve pulses rather resemble those of sound or solitons, respectively. Solitons are sound-pulses that travel without changes in shape and without dissipation of energy. The electrical pulses in classical electrophysiology and electromechanical solitons differ largely in their physical implications.
In this presentation we show that in the electromechanical approach, the excitability of the nerve membrane can be compared to the free energy difference between the liquid and the solid phase of the biomembrane. Anesthetics change this free energy difference due to melting point depression. This reduces the excitability of the nerve membrane and leads to an increase in stimulation threshold. We compare the theoretical experiment with the outcome of clinical experiments on the human median nerve and other nerve systems. We demonstrate that the electromechanical theory is able to provide a good understanding for anesthesia and its effect on nerve excitability.
Dr. Ilja Klebanov, Zuse Institute Berlin
Simultaneous parameter estimation for many patients
In systems medicine, we are often faced with parametrized models, where the patient-specific parameters have to be inferred from large data sets involving many patients. The natural approach would be to consider each patient separately, however, a lot of information can be gained by analyzing the data set as a whole. This concept of 'borrowing information' is the essence of so-called empirical Bayes methods, which build up an informative prior from the data before performing individual Bayesian inference for each patient. Guided by a simple example, we will discuss how this can be accomplished in a consistent way.
Prof. Dr. Volker Mehrmann, TU Berlin, Modelling, Simulation and Control of Constrained Multi-Physics Systems
Modelling, Simulation and Control of Constrained Multi-Physics Systems
Motivated from modeling modern energy transport networks, in particular those arising in coupling different physical domains, the energy based modeling framework of port-Hamiltonian systems is discussed. The classical port-Hamiltonian approach is systematically extended to constrained dynamical systems (partial-differential-algebraic equations). A new algebraically and geometrically defined system structure is derived, which has many nice mathematical properties. It is shown that this structure is invariant under Galerkin projections, changes of basis, and that a dissipation inequality holds. If such a system is controllable and observable then it is automatically stable and passive. Furthermore, the new representation is very robust to perturbations in the system structure. The advantages and the success of the new framework is illustrated by examples from gas transport, synchronization of power systems and the development of a new turbine.
We also discuss open problems associated with the new model approach. These include the adequate choice of time-integration methods that guarantee the dissipation inequality, the generation of such systems from pure input-output data, as well as good model reduction and optimal control techniques that make optimal use of the structure.
Dieter Scharnweber, TU Dresden, Institute of Materials Science, Max Bergmann Center of Biomaterials
Some like it sweet – from protein/glycosaminoglycan interactions to functional biomaterials
Numerous biological processes such as tissue formation, remodeling and healing are strongly influenced by the composition and the biochemical properties of the cellular microenvironment. Glycosaminoglycans (GAGs), as major component of the native extracellular matrix (ECM) can be chemically functionalized and thereby modified in their binding profiles, both for direct cell inter-action and for interaction with mediator proteins (e.g. growth factors). Thus GAGs and their derivatives are promising candidates for the design of functional biomaterials to control healing processes in healthy and health-compromised patients.
The lecture will present multidisciplinary studies aiming to improve our understanding on structure property relationships of GAG derivatives in their interaction with biological mediator proteins as well as on the biological effects of these interactions. This will be discussed exemplarily for key signaling molecules of healing processes in bone and skin.
Prominent effects are (i) anti-inflammatory, immunomodulatory properties towards macro¬pha¬ges/ dendritic cells, (ii) enhanced osteogenic differentiation of human mesenchymal stromal cells, (iii) al-tered differentiation of fibroblasts to myofibroblasts, (iv) reduced osteoclast activity and (v) im¬pro-ved osseointegration of dental implants in minipigs.
The resulting knowledge enables the consortium of our Transregio 67 for an advanced design of functional biomaterials to selectively control and promote healing processes as will be shown for bone and skin regeneration.
Prof. Dr. Lars Timmermann, Marburg and Prof. Dr. Gerd Kempermann, Dresden – DBS and adult neurogenesis - CRC 1270 ELAINE supported session as part of the 2018 Scientific meeting of the MDS Non-Motor PD Study Group; Universitätsplatz 1, free meeting registration for CRC members through the IRTG office, see https://ctnr.med.uni-rostock.de/parkinson2018-rostock/
María Angeles Péres, M2BE-Multiscale in Mechanical and Biological Engineering, Aragon Institute for Engineering Research – I3A, Aragón Institute of Health Sciences –IACS, University of Zaragoza, Zaragoza, Spain (firstname.lastname@example.org)
Multiscale modeling of bone mechanobiology: from cell proliferation and migration to bone remodeling simulations
Skeletal mechanobiology aims to discover how mechanical forces modulate morphological and structural fitness of the skeletal tissues – bone, cartilage, ligament and tendon . Mechanobiological models have been used to explain mechanoregulation in fracture healing, callus growth, distraction osteogeneis, bone ingrowth into porous implants and tissue engineering. The proliferation/migration of cells has been modelled by considering it to be analogous to diffusion. However, using a diffusion model to simulate cell dispersal means that proliferation and migration tend to create a smooth variation in cell density, but such a constraint is not physiological nor is it necessary if a more general random-walk model is used. Furthermore, random-walk models can simulate not only a preferred direction to migration but proliferation can also be explicitly modelled by multiplying cell numbers during dispersal, or several cell populations could be included simultaneously . A random-walk model was also used to simulate proliferation, migration and differentiation of adult muscle satellite cells . The model was validated with an invitro cell culture. Additionally, several examples where the random-walk model were used (mechanobiological simulations of tissue differentiation and cement infiltration within open-cell structures resembling osteoporotic bone) will be presented in this lecture.
In bone mechanobiology, bone cells respond directly or indirectly to the local strains engendered in their neighbourhood by external loading activity . This process is named bone remodeling, which is the continuous turnover of bone matrix and mineral by bone resorption and formation in the adult skeleton. The mechanical environment plays an essential role in the regulation of bone remodeling in intact bone and during bone repair. During decades, a great number of numerically implemented mathematical laws have been proposed, but most of them present different problems and stability, convergence or dependence of the initial conditions . Therefore, bone remodelling challenges, problematic and their applicability will be also presented in this lecture from a macroscale point of view.
Summarizing, previous computational models range from microscale to macroscale approaches. The development of a multiscale procedure can be used to deeply understand the mechanisms involved in bone mechanoregulation and/or bone diseases as osteoporosis.
 Van der Meulen and Huiskes (2002). J Biomech, 35: 401-414
 Pérez and Prendergast (2007). J Biomech, 40: 2244-2253
 Garijo et al. (2012). J Theor Biol, 314: 1-9
 Mellon and Tanner (2012). Int Mater Rev 57: 235-255
 Garijo et al. (2014). Comput Methods Appl Mech Engrg, 271: 253-268
Dr. Stefan Lehner, TÜV SÜD Product Service
Rahmenbedingungen für die Zulassung von Medizinprodukten im Zuge der neuen Medizinprodukteverordnung (MDR)
Nach der Bekanntmachung der neuen amtlichen Fassung der Europäischen Medizinprodukte-Verordnung (Medical Device Regulation, MDR) am 05. Mai 2017 im EU-Amtsblatt trat diese am 25. Mai 2017 endgültig in Kraft. Die MDR ersetzt die beiden bestehenden Richtlinien MDD 93/42/EWG über Medizinprodukte (Medical Device Directive) sowie AIMD 90/385/EWG über aktive implantierbare Medizinprodukte (Active Implantable Medical Devices) und ist nach einer dreijährigen Übergangszeit ab dem 26. Mai 2020 verpflichtend anzuwenden.
Mit der Einführung der MDR werden die Anforderungen an den Inhalt der Technischen Dokumentation zukünftig deutlich detaillierter geregelt, auch ist der Inhalt von den Herstellern kontinuierlich zu aktualisieren. Beispielweise erhält jedes Medizinprodukt zur vereinfachten Rückverfolgbarkeit in Zukunft eine eindeutige Produktidentifizierungsnummer (UDI). Auch die Klassifizierung einiger Produkte ändert sich. So müssen eine Reihe von Implantaten, die bisher in Klasse IIb eingestuft waren, nun die Anforderungen von Klasse III Produkten erfüllen. Die MDR erfordert zudem eine strengere klinische Überwachung nach dem Inverkehrbringen der Medizinprodukte.
Prof. Dr. Sascha Spors, University of Rostock
The reproducibility of results is one of the main principles of the scientific method. The irreproducibility of a wide range of scientific results has recently drawn significant attention. Besides problems in the research methods themselves, results were often not reproducible since necessary supplementary material as protocols, data and implementations were not available. Another issue is the lacking availability of data for further research by third parties. In many cases only the published results are available to other researchers. Open Science focuses on the ease of access and reproducibility of scientific results. This contribution introduces the concept of reproducibility and addresses common concerns. Best practices for Open Science in acoustics research are discussed and illustrated at examples.
Dr. Tofail Syed, University of Limerick
Piezoelectricity in biological building blocks and potential physiological relevance
Piezoelectric materials produces electricity when deformed and vice versa. Hierarchical biological structures such as bone, tendon, wood and silk have been known to show weak piezoelectricity when compared to technical piezoelectric polymers and ceramics. Their physiological significance is still a matter of speculation. Synthetic polypeptides have recently shown significant piezoelectricity to merit their use in technical applications. Our group has successfully predicted and quantitatively measured piezoelectricity in synthetic bone mineral hydroxyapatite and globular protein lysozyme and amino acids. In this colloquium we will discuss fundamental principles of piezoelectricity and emphasise the need for considering fundamental building blocks to understand physiological significance of piezoelectricity.