1,809 research outputs found

    Doctor of Philosophy

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    dissertationIntracortical microelectrode arrays create a direct interface between the brain and external devices. This “brain-machine interface” has found clinical application by allowing patients with tetraplegia to control computer cursors and robotic limbs. Unfortunately, use of intracortical microelectrode array technology is currently limited by its inconsistent ability to record neural signals over time. It is widely believed that the foreign body response (FBR) contributes to recording inconsistency. Most characterizations of the FBR to intracortical microelectrodes have been in the rat using devices with simple architecture, while the only device currently used in humans, the Utah Electrode Array (UEA), is much larger and more complex. In this work, we characterized the FBR to the UEA and found that, unlike with simpler devices, implantation of a UEA results in extensive vascular injury and loss of cortical tissue. We also sought to determine which features of the FBR correlated with recording inconsistency and found that biomarkers of astrogliosis, blood-brain barrier leakage, and tissue loss were associated with decreased recording performance. Next, since a significant portion of potential brain-machine interface recipients are aged, we applied similar methods in an aged cohort of rats in order to understand the effect of aging on the FBR and recording performance. We found that, surprisingly, recording performance was superior in the aged cohort. Astrogliosis was again associated with decreased recording performance in the aged cohort. Finally, we continued our development and validation of a finite element model of cytokine diffusion to assist in designing next-generation devices with a reduced FBR. Taken as a whole, this work provides meaningful insights into the mechanisms of inconsistent recording performance and discusses several promising avenues for overcoming them

    In Vivo Imaging to Characterize Dynamic Tissue Responses after Neural Electrode Implantation

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    Implantable neural electrodes are promising technologies to restore motor, sensory, and cognitive function in many neural pathologies through brain-computer interfacing (BCI). Many BCI applications require electrode implantation within neural tissue to resolve and/or modulate the physiological activity of individual neurons via electrical recording and stimulation. This invasive implantation leads to acute and long-term deterioration of both the electrode device as well as the neurons surrounding the device. Ultimately, damage to the electrode and neural tissue results in electrode recording failure within the first years after implantation. Many strategies to improve BCI longevity focus on mitigating tissue damage through improving neuronal survival or reducing inflammatory activity around implants. Despite incremental improvements, electrode failure persists as an obstacle to wide-spread clinical deployment of BCIs. This can be partly attributed to an incomplete understanding of the biological correlates of recording performance. These correlates have largely been identified through post-mortem histological staining, which cannot capture dynamic changes in cellular physiology and morphology. In the following dissertation, we use longitudinal two-photon in vivo imaging to quantify how neurons, microglia, and meningeal immune cells are affected by an intracortical electrode during and after implantation in mouse cortex. We go beyond conventional histological techniques to show the time-course of neuronal injury and microglial recruitment after implantation. Neuronal injury occurs instantaneously, with prolonged, high calcium levels evident in neurons within 100 µm of implants. Microglial activation occurs within minutes of implantation and subsequent microglial encapsulation of electrodes can be modulated by bioactive surface coatings. Within the first day post-implant, there is high trafficking of peripheral immune cells through venules at the surface of the brain as well as along the electrode’s shank at the surface of the brain. Over the next month, calcium activity in neurons increases while the collagenous meningeal tissues at the surface of the brain thicken. We further show that meningeal thickening can have profound implications for devices implanted into non-human primates as well. In sum, these results define new potential therapeutic targets and windows that could improve the longevity of implantable neural electrodes

    Implantable Neural Probes for Brain-Machine Interfaces - Current Developments and Future Prospects

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    A Brain-Machine interface (BMI) allows for direct communication between the brain and machines. Neural probes for recording neural signals are among the essential components of a BMI system. In this report, we review research regarding implantable neural probes and their applications to BMIs. We first discuss conventional neural probes such as the tetrode, Utah array, Michigan probe, and electroencephalography (ECoG), following which we cover advancements in next-generation neural probes. These next-generation probes are associated with improvements in electrical properties, mechanical durability, biocompatibility, and offer a high degree of freedom in practical settings. Specifically, we focus on three key topics: (1) novel implantable neural probes that decrease the level of invasiveness without sacrificing performance, (2) multi-modal neural probes that measure both electrical and optical signals, (3) and neural probes developed using advanced materials. Because safety and precision are critical for practical applications of BMI systems, future studies should aim to enhance these properties when developing next-generation neural probes

    High Fidelity Bioelectric Modelling of the Implanted Cochlea

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    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

    Doctor of Philosophy

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    dissertationThe Utah Electrode Array (UEA) is a brain-implanted microelectrode recording device that has shown promise to assist patients with motor-control disabilities. Unfortunately, the UEA suffers from a foreign body response (FBR) that results in device movement away from implantation target, encapsulation of devices in meningeal origin tissue, loss of cortical tissue, and persistent neuroinflammation in the brain. These issues affect device functionality, and thus biocompatibility, and hinder widespread implementation of this technology. This dissertation examines whether device anchoring or extracellular matrix (ECM)-based device coating strategies can influence the biocompatibility of chronically implanted UEAs in the rat cortex. Results show that unanchored UEAs have a reduced FBR in comparison to those anchored to the skull, but also suffer from device movement as a result of cortical tissue remodeling, likely attributable to implantation-associated injury. To address implantation-associated injury, ECM was explored as a surface adsorbed device coating and was shown to be both hemostatic and immunomodulatory with in vitro assays. An apparatus was developed to coat Avitene™, an FDA-approved neurosurgical hemostatic ECM, onto the complex surface geometry of the UEA. Compared to uncoated control devices in a chronic rat model, Avitene™ coated devices experienced an enhanced FBR characterized by larger lesion cavities, enhanced meningeal encapsulation, and increased neuroinflammation, attributed to a higher degree of proinflammatory macrophages found surrounding the device coating. These result imply that future ECM-based coatings should include immunomodulatory components that address device-adherent macrophage activation state. Critical improvements in device anchoring and modulation of the FBR are still necessary to improve the biocompatibility of the UEA. Reducing the prevalence of FBR-related device failure is a necessary step that will require further attention before patients can benefit from this technology

    DEVELOPMENT OF NANOPARTICLE RATE-MODULATING AND SYNCHROTRON PHASE CONTRAST-BASED ASSESSMENT TECHNIQUES FOR CARDIAC TISSUE ENGINEERING

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    Myocardial infarction (MI) is the most common cause of heart failure. Despite advancements in cardiovascular treatments and interventions, current therapies can only slow down the progression of heart failure, but not tackle the progressive loss of cardiomyocytes after MI. One aim of cardiac tissue engineering is to develop implantable constructs (e.g. cardiac patches) that provide physical and biochemical cues for myocardium regeneration. To this end, vascularization in these constructs is of great importance and one key issue involved is the spatiotemporal control of growth-factor (GF)-release profiles. The other key issue is to non-invasively quantitatively monitor the success of these constructs in-situ, which will be essential for longitudinal assessments as studies are advanced from ex-vivo to animal models and human patients. To address these issues, the present research aims to develop nanoparticles to modulate the temporal control of GF release in cardiac patches, and to develop synchrotron X-ray phase contrast tomography for visualization and quantitative assessment of 3D-printed cardiac patch implanted in a rat MI model, with four specific objectives presented below. The first research objective is to optimize nanoparticle-fabrication process in terms of particle size, polydispersity, loading capacity, zeta potential and morphology. To achieve this objective, a comprehensive experimental study was performed to examine various process parameters used in the fabrication of poly(lactide-co-glycolide) (PLGA) nanoparticles, along with the development of a novel computational approach for the nanoparticle-fabrication optimization. Results show that among various process parameters examined, the polymer and the external aqueous phase concentrations are the most significant ones to affect the nanoparticle physical and release characteristics. Also, the limitations of PLGA nanoparticles such as initial burst effect and the lack of time-delayed release patterns are identified. The second research objective is to develop bi-layer nanoparticles to achieve the controllable release of GFs, meanwhile overcoming the above identified limitations of PLGA nanoparticles. The bi-layer nanoparticle is composed of protein-encapsulating PLGA core and poly(L-lactide) (PLLA)-rate regulating shell, thus allowing for low burst effect, protein structural integrity and time-delayed release patterns. The bi-layer nanoparticles, along with PLGA ones, were successfully fabricated and then used to regulate simultaneous and/or sequential release of multiple angiogenic factors with the results demonstrating that they are effective to promote angiogenesis in fibrin matrix. The third objective is to develop novel mathematical models to represent the controlled-release of bioactive agents from nanoparticles. For this, two models, namely the mechanistic model and geno-mechanistic model, were developed based on the local and global volume averaging approaches, respectively, and then validated with experiments on both single- and bi-layer nanoparticles, by which the ovalbumin was used as a protein model for the release examination. The results illustrates the developed models are able to provide insight on the release mechanism and to predict nanoparticle transport and degradation properties of nanoparticles, thus providing a means to regulate and control the release of bioactive agents from the nanoparticles for tissue engineering applications. The fourth objective of this research is to develop a synchrotron-based phase contrast non-invasive imaging technique for visualization and quantitative assessment of cardiac patch implanted in a rat MI model. To this end, the patches were created from alginate strands using the three-dimensional (3D) printing technique and then surgically implanted on rat hearts for the assessment based on phase contrast tomography. The imaging of samples was performed at various sample-to-detector distances, CT-scan time, and areas of the region of interest (ROI) to examine their effects on imaging quality. Phase-retrieved images depict visible and quantifiable structural details of the patch at low radiation dose, which, however, are not seen from the images by means of dual absorption-phase and a 3T clinical magnetic resonance imaging. Taken together, this research represents a significant advance in cardiac tissue engineering by developing novel nano-guided approaches for vascularization in myocardium regeneration as well as non-invasive and quantitative monitoring techniques for longitudinal studies on the cardiac patch implanted in animal model and eventually in human patients

    Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visually Evoked Potential Brain-Computer Interface

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    Brain-computer interfaces (BCI) have the potential to improve the quality of life for persons with paralysis. Sub-scalp EEG provides an alternative BCI signal acquisition method that compromises between the limitations of traditional EEG systems and the risks associated with intracranial electrodes, and has shown promise in long-term seizure monitoring. However, sub-scalp EEG has not yet been assessed for suitability in BCI applications. This study presents a preliminary comparison of visually-evoked potentials (VEPs) recorded using subscalp and endovascular stent electrodes in a sheep. Sub-scalp electrodes recorded comparable VEP amplitude, signal-to-noise ratio and bandwidth to the stent electrodes.Comment: 4 pages, 5 figures, EMBC 2023 submissio

    Progenitor cells in auricular cartilage demonstrate promising cartilage regenerative potential in 3D hydrogel culture

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    The reconstruction of auricular deformities is a very challenging surgical procedure that could benefit from a tissue engineering approach. Nevertheless, a major obstacle is presented by the acquisition of sufficient amounts of autologous cells to create a cartilage construct the size of the human ear. Extensively expanded chondrocytes are unable to retain their phenotype, while bone marrow-derived mesenchymal stromal cells (MSC) show endochondral terminal differentiation by formation of a calcified matrix. The identification of tissue-specific progenitor cells in auricular cartilage, which can be expanded to high numbers without loss of cartilage phenotype, has great prospects for cartilage regeneration of larger constructs. This study investigates the largely unexplored potential of auricular progenitor cells for cartilage tissue engineering in 3D hydrogels

    Chronic nerve root entrapment: compression and degeneration

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    Electrode mounts are being developed to improve electrical stimulation and recording. Some are tight-fitting, or even re-shape the nervous structure they interact with, for a more selective, fascicular, access. If these are to be successfully used chronically with human nerve roots, we need to know more about the possible damage caused by the long-term entrapment and possible compression of the roots following electrode implantation. As there are, to date, no such data published, this paper presents a review of the relevant literature on alternative causes of nerve root compression, and a discussion of the degeneration mechanisms observed. A chronic compression below 40 mmHg would not compromise the functionality of the root as far as electrical stimulation and recording applications are concerned. Additionally, any temporary increase in pressure, due for example to post-operative swelling, should be limited to 20 mmHg below the patient's mean arterial pressure, with a maximum of 100 mmHg. Connective tissue growth may cause a slower, but sustained, pressure increase. Therefore, mounts large enough to accommodate the root initially without compressing it, or compliant, elastic, mounts, that may stretch to free a larger cross-sectional area in the weeks after implantation, are recommended
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