A NOVEL DUAL MODELING METHOD FOR CHARACTERIZING HUMAN NERVE FIBER ACTIVATION

Presented in this work is the investigation and successful illustration of a coupled model of the human nerve fiber. SPICE netlist code was utilized to describe the electrical properties of the human nervous membrane in tandem with COMSOL Multiphysics, a finite element analysis software tool. The initial research concentrated on the utilization of the Hodgkin-Huxley electrical circuit representation of the nerve fiber membrane. Further development of the project identified the need for a linear circuit model that more closely resembled the McNeal linearization model augmented by the work of Szlavik which better facilitated the coupling of both SPICE and COMSOL programs. Related literature was investigated and applied to validate the model. This combination of analysis tools allowed for the presentation of a consistent model and revealed that a coupled model produced not only a qualitatively comparable, but also a quantitatively comparable result to studies presented in the literature. All potential profiles produced during the simulation were compared against the literature in order to meet the purpose of presenting an advanced computational model of human neural recruitment and excitation. It was demonstrated through this process that the correct usage of neuron models within a two dimensional conductive space did allow for the approximate modeling of human neural electrical characteristics

Development of Fast, Distributed Computational Schemes for Full Body Bio-Models and Their Application to Novel Action Potential Block in Nerves Using Ultra-Short, High Intensity Electric Pulses

An extremely robust and novel scheme for computing three-dimensional, time-dependent potential distributions in full body bio-models is proposed, which, to the best of our knowledge, is the first of its kind. This simulation scheme has been developed to employ distributed computation resources, to achieve a parallelized numerical implementation for enhanced speed and memory capability. The other features of the numerical bio-model included in this dissertation research, are the ability to incorporate multiple electrodes of varying shapes and arbitrary locations. The parallel numerical tool also allows for user defined, current or potential stimuli as the excitation input. Using the available computation resources at the university, a strong capability for extremely large bio-models was developed. So far a maximum simulation comprised of 6.7 million nodes has been achieved for a full rat bio-model with a 1 mm spatial resolution at an average of 30 seconds per iteration. The ability to compute the resulting potential distribution in a full animal body allows for realistic and accurate studies of bio-responses to electrical stimuli. For example, the voltages computed from the full-body models at various sites and tissue locations could be used to examine the potential for using nanosecond, high-intensity, pulsed electric fields for blocking neural action or action potential (AP) propagation. This would be a novel, localized, and reversible method of controlling neural function without tissue damage. It could potentially be used in electrically managed pain relief, non-lethal incapacitation, and neural/muscular therapy. The above concept has quantitatively been evaluated in this dissertation. Specifically, the effects of high-intensity (kilo-Volt), ultra-short (∼100 nanosecond) electrical pulses have been evaluated, and compared with available experimental data. Good agreement with available data is demonstrated. It is also shown that nerve membrane electroporation, brought about by the high-intensity, external pulsing, could indeed be instrumental in halting AP propagation. Simulations based on a modified distributed cable model to represent nerve segments have been used to demonstrate a numerical proof-of-concept

Noninvasive brain stimulation techniques can modulate cognitive processing

Recent methods that allow a noninvasive modulation of brain activity are able to modulate human cognitive behavior. Among these methods are transcranial electric stimulation and transcranial magnetic stimulation that both come in multiple variants. A property of both types of brain stimulation is that they modulate brain activity and in turn modulate cognitive behavior. Here, we describe the methods with their assumed neural mechanisms for readers from the economic and social sciences and little prior knowledge of these techniques. Our emphasis is on available protocols and experimental parameters to choose from when designing a study. We also review a selection of recent studies that have successfully applied them in the respective field. We provide short pointers to limitations that need to be considered and refer to the relevant papers where appropriate

Characterization of the effects of the human head on communication with implanted antennas

Cranially implanted sensors and electrodes have been used in practice for several years; their applications range from the recording of neural signals for use in Brain-Computer Interfaces to help the disabled, to the treatment of diseases and conditions ranging from Parkinson\u27s disease, multiple sclerosis, depression, etc. Current communication methods with implants, however, are lacking; they run the gamut from physical, percutaneous connections that increase the risk of infection, to wireless links that are slow and uncomfortable for patients. The present work focuses on the characterization of the effects of the human head on communication with cranially implanted antennas for its eventual use in improving current communication methods. A realistic human head model with frequency dependent tissue characteristics is used to obtain a transfer function that describes the magnitude and phase of an electromagnetic wave as it propagates through the human head over both frequency and depth into the skull; this data is obtained for multiple energy entry angles. The technique used to obtain transfer function measurements consists of taking the ratio of the electric fields at the receiver and transmitter and is developed through analysis of ultra-wideband transmit/receive antenna systems; verification for this technique is provided. After the transfer function data described above is obtained, we posit a communication model to approximate the transfer function magnitude. This approximation takes the form of a modified log-distance, log-frequency path loss model and fits the data quite well. The final approximation describes the path loss of an electromagnetic wave over both frequency and distance for all simulated orientations. Lastly, simulations are presented for communication from a cranially implanted dipole antenna. The received power of an external antenna - whose position is varied in both distance (from the head), as well as location (around the head) - is captured and plotted. We finally show that the transfer function that was obtained for all perpendicular communication through the head is able to, in most cases, correctly predict the results of these received power simulations

Multifunctional nanostructures for intracellular delivery and sensing in electrogenic cells

Biological studies on in vitro cell cultures are of fundamental importance for investigating cell response to external stimuli, such drugs for specific treatments, or for studying communication between cells. In the electrophysiology field, multielectrode array devices (MEA) are the gold standard for the study of large ensambles of electrogenic cells. Thus, their improvement is a central topic nowadays in neuroscience and cardiology [1]. In the last decades, thanks to the adoption of nanotechnologies, the study of physiological and pathological conditions of electro-active cells in culture have becomes increasingly accurate[2], allowing for monitoring action potentials from many cells simultaneously. In fact, nanoscale biomaterials were able to overcome the limitations of previous technologies, paving the way to the development of platforms for interfacing the electrogenic cells at unprecedented spatiotemporal scales. These devices, together with microfluidics, are starting to be used for drug screening and pharmaceutical drug development since they represent a powerful tool for monitoring cell response when cultures are stimulated by target compounds. Many pharmaceutical agents, however, including various large molecules (enzymes, proteins, antibodies) and even drug-loaded pharmaceutical nanocarriers, need to be delivered intracellularly to exercise their therapeutic action inside the cytoplasm[3]. Nanoscale electrodes offer individual cell access and non-destructive poration of the cellular membrane enabling high capability in the delivery of biomolecules. Among all the techniques, electroporation have proven encouraging potential as alternative to the carrier mediated methods for molecular delivery into cultured cells[4]. In this regard, different groups [5][6][7] exploited the integration of nanostructures with delivering capabilities with single-cell specificity and high throughput in biosensing platforms. These efforts provided powerful tools for advancing applications in therapeutics, diagnostics, and drug discovery, in order to reach an efficient and localized delivery on a chip. Despite these new tactics, there is still a critical need for the development of a functional approach that combines recording capabilities of nanostructured biosensors with intracellular delivery. The device should provide for tight contact between cells and electrode so as to enable highly localized delivery and optimal recording of action potentials in order to attain a high degree of prediction for the disease modeling and drug discovery. This \u201con-chip\u201d approach will help to gain deeper insight in several bio-related studies and analyses, providing a comprehensive knowledge of the entire cellular dynamics when selectively stimulated by the desired bio-molecules. In the first part of this dissertation, a solution will be proposed in order to fill this gap and respond to this need in the biology field. In the first chapter, I will describe briefly the principles of action potentials and how neurons and cardiomyocyte are composed, together with the development of electrophysiology and the advent of multielectrode arrays. In the second chapter, more details about fabrication and cell-electrode system modelling will be explained. In the same chapter, I will explore the development of multielectrode arrays up to the present days, along with the advent of nanotechnologies and the related techniques for improving the previous platforms. The different cell poration techniques will be described in order to reach the best recording capabilities without damaging cells. Electroporation, optoporation and spontaneous poration will be presented and the chosen technique for our application (electroporation) will be reviewed more in detail. In the third chapter, different methodologies for intracellular delivery will be explained, focusing also on the electroporation technique. A small paragraph about the integration of these techniques on chip will be inserted to illustrate the state of the art of these devices. The fourth chapter will explicate in details the Microfluidic multielectrode array idea, the approach used in order to fabricate this novel platform from scratch, the experiments carried out to verify its capabilities and the associated results. In the last paragraph, I will discuss how the proposed platform could became suitable for the day to day uses in research activity by employing nanoporous materials. In fact, big efforts are carried out in order to find appropriate metamaterials as substitutes of the 3D counterparts so as to decrease the cost of device manufacturing that makes them unfitting with research activity. As a novel electrode material, nanoporous metals possess unique properties, such as a low fabrication cost, high plasmonic enhancement and large surface-volume ratio[8]. Nanoporous gold behaves like a metamaterial whose effective dielectric response can be tuned accordingly to the wanted use. These properties make the material suitable for multiple biosensing application, from a high-performance and reliable SERS (surface enhanced raman scattering) substrate [9] to an electrode in CMOS MEAs capable of intracellular recordings[10]. All these properties were explored in the last years, but it could be interesting to further study if the characteristics of this material could make it a good photoelectrical modulating material for eliciting electrogenic cells firing activity. In this way, this technology could be in principle easily implemented on commercial CMOS devices, consenting stimulation and recording at single cell level with high-resolution sensors, opening the way to new methodologies for studying electrogenic cells and tissues. Electrical stimulation of excitable cells is the basis for many implantable devices in cardiac treatment and in neurological studies for treating debilitating neurological syndromes. In order to make the technique less invasive, optical stimulation was widely investigated [11]. The non-genetic photostimulation is starting to make its way in the field since it allows to avoid changing the biological framework by using transient thermal or electrochemical outputs from synthetic materials attached to the target cells[12]. If stimulated with impinging light these materials could inject free charges into the solution resulting in an ionic current at the interface able to eliciting of neurons[13] or cardiomyocyte action potentials. Plasmonic porous materials have all the suitable properties to be considered as an appealing tools for charge injection and consequently for stimulation of electrically active cells [14]. Thus, the second part of this dissertation will exploit the capabilities of these plasmonic metamaterials, placing particular emphasis on the possibility of photoelectrochemical modulation. In particular, in the fifth and last chapter I will describe all the properties and application of the porous material and the mechanism of photoemission. In the experimental paragraphs, the free charge photoemission properties of porous gold will be explored together with plasmonic non-genetic photostimulation of the cardiac cells on commercial CMOS MEAs

Multifunctional nanostructures for intracellular delivery and sensing in electrogenic cells

In electrophysiology, multielectrode array devices (MEA) are the gold standard for the study of large ensambles of electrogenic cells. In the last decades, thanks to the adoption of nanotechnologies, the study of physiological and pathological conditions of electro-active cells in culture have becomes increasingly accurate. In parallel, studies exploited the integration of nanostructures with delivering capabilities with single-cell specificity and high throughput in biosensing platforms. Delivery and recording have independently led to great advances in neurobiology, however, their integration on a single chip would give complete insights into pathologies development and fundamental advancements in drug screening methods. In this work, we demonstrate how a microfluidic-MEA technology may be used to record both spontaneous and chemically induced activity in vitro. We propose a device that can deliver molecules to only a few chosen cells and detecting the response in cellular activity at multiple sites simultaneously. In addition, will be discussed how the adoption of nanoporous metamaterial in place of nanostructures might lower costs and speed up production. Furthermore, this same material, will be identified for the first time in this work as photoelectrical modulating material for eliciting electrogenic cells firing activity. Specifically, by converting NIR laser pulses into stimulatory currents, plasmonic metamaterials may be employed to induce action potentials. This method enables remote access to optical pacing with precise spatiotemporal control, allowing to be used as a valid alternative of the traditional genetic-based optical stimulation techniques. Therefore, in addition to pharmaceutical applications, these final characteristics may pave the way for a new generation of minimally invasive, cellular type-independent all-optical plasmonic pacemakers and muscle actuators

High Fidelity Bioelectric Modelling of the Implanted Cochlea

Cochlear implants are medical devices that can restore sound perception in individuals with sensorineural hearing loss (SHL). Since their inception, improvements in performance have largely been driven by advances in signal processing, but progress has plateaued for almost a decade. This suggests that there is a bottleneck at the electrode-tissue interface, which is responsible for enacting the biophysical changes that govern neuronal recruitment. Understanding this interface is difficult because the cochlea is small, intricate, and difficult to access. As such, researchers have turned to modelling techniques to provide new insights. The state-of-the-art involves calculating the electric field using a volume conduction model of the implanted cochlea and coupling it with a neural excitation model to predict the response. However, many models are unable to predict patient outcomes consistently. This thesis aims to improve the reliability of these models by creating high fidelity reconstructions of the inner ear and critically assessing the validity of the underlying and hitherto untested assumptions. Regarding boundary conditions, the evidence suggests that the unmodelled monopolar return path should be accounted for, perhaps by applying a voltage offset at a boundary surface. Regarding vasculature, the models show that large modiolar vessels like the vein of the scala tympani have a strong local effect near the stimulating electrode. Finally, it appears that the oft-cited quasi-static assumption is not valid due to the high permittivity of neural tissue. It is hoped that the study improves the trustworthiness of all bioelectric models of the cochlea, either by validating the claims of existing models, or by prompting improvements in future work. Developing our understanding of the underlying physics will pave the way for advancing future electrode array designs as well as patient-specific simulations, ultimately improving the quality of life for those with SHL

Development and applications of high speed and hyperspectral nonlinear microscopy

Nonlinear microscopy refers to a range of laser scanning microscopy techniques that are based on nonlinear optical processes such as two-photon excited fluorescence and second harmonic generation. Nonlinear microscopy techniques are powerful because they enable the visualization of highly scattering biological samples with subcellular resolution. This capability is especially valuable for in vivo and live tissue imaging since it can provide both structural and functional information about tissues in their native environment. With the use of a range of exogenous dyes and intrinsic contrast, in vivo nonlinear microscopy can be used to characterize and measure dynamic processes of tissues in their normal environment. These advances have been particularly relevant in neuroscience, where truly understanding the function of the brain requires that its neural and vascular networks be observed while undisturbed. Despite these advantages, in vivo nonlinear microscopy still faces several major challenges. First, observing dynamics that occur in large areas over short time scales, such as neuronal signaling and blood flow, is challenging because nonlinear microscopy generally requires scanning to create an image. This limits the study of dynamic behavior to either a single plane or to a small subset of regions within a volume. Second, applications that rely on the use of exogenous dyes can be limited by the need to stain tissues before imaging, the availability of dyes, and specificity that can be achieved. Usually considered a nuisance, endogenous tissue contrast from autofluorescence or structures exhibiting second harmonic generation can produce stunning images for visualizing subcellular morphology. Imaging endogenous contrast can also provide valuable information about the chemical makeup and metabolic state of the tissue. Few methods have been developed to carefully and quantitatively examine endogenous fluorescence in living tissues. In this thesis, these two challenges in nonlinear microscopy are addressed. The development of a novel hyperspectral two-photon microscopy method to acquire spectroscopic data from tissues and increase the information available from endogenous contrast is presented. This system was applied to visualize and identify sources of endogenous contrast in gastrointestinal tissues, providing robust references for the assessment of normal and diseased tissues. Secondly, three methods for high speed volumetric imaging using laser scanning nonlinear microscopy were developed to address the need for improved high-speed imaging in living tissues. A spectrally-encoded high-speed imaging method that can provide simultaneous imaging of multiple regions of the living brain in parallel is presented and used to study spontaneous changes in vascular tone in the brain. This technique is then extended for use with second harmonic generation microscopy, which has the potential to greatly increase the degree of multiplexing. Finally, a complete system design capable of volumetric scan rates >1Hz is shown, offering improved performance and versatility to image brain activity

Cortical Network Synchrony Under Applied Electrical Field

Synchronous network activity plays a crucial role in complex brain functions. Stimulating the nervous system with applied electric field (EF) is a common tool for probing network responses. We used a gold wire-embedded silk protein film-based interface culture to investigate the effects of applied EFs on random cortical networks of in vitro cultures. Two-week-old cultures were exposed to EF of 27 mV/mm for \u3c1 h and monitored by time-lapse calcium imaging. Network activity was represented by calcium signal time series mapped to source neurons and analyzed by using a community detection algorithm. Cortical cultures exhibited large scale, synchronized oscillations under alternating EF of changing frequencies. Field polarity and frequency change were both found to be necessary for network synchrony, as monophasic pulses of similar frequency changes or EF of a constant frequency failed to induce correlated activities of neurons. Group-specific oscillatory patterns were entrained by network-level synchronous oscillations when the alternating EF frequency was increased from 0.2 Hz to 200 kHz. Binary responses of either activity increase or decrease contributed to the opposite phase patterns of different sub-populations. Conversely, when the EF frequency decreased over the same range span, more complex behavior emerged showing group-specific amplitude and phase patterns. These findings formed the basis of a hypothesized network control mechanism for temporal coordination of distributed neuronal activity, involving coordinated stimulation by alternating polarity, and time delay by change of frequency. These novel EF effects on random neural networks have important implications for brain functional studies and neuromodulation applications