Matching Items (15)
Description
During the past five decades neurosurgery has made great progress, with marked improvements in patient outcomes. These noticeable improvements of morbidity and mortality can be attributed to the advances in innovative technologies used in neurosurgery. Cutting-edge technologies are essential in most neurosurgical procedures, and there is no doubt that neurosurgery has become heavily technology dependent. With the introduction of any new modalities, surgeons must adapt, train, and become thoroughly familiar with the capabilities and the extent of application of these new innovations. Within the past decade, endoscopy has become more widely used in neurosurgery, and this newly adopted technology is being recognized as the new minimally invasive future of neurosurgery. The use of endoscopy has allowed neurosurgeons to overcome common challenges, such as limited illumination and visualization in a very narrow surgical corridor; however, it introduces other challenges, such as instrument "sword fighting" and limited maneuverability (surgical freedom). The newly introduced concept of surgical freedom is very essential in surgical planning and approach selection and can play a role in determining outcome of the procedure, since limited surgical freedom can cause fatigue or limit the extent of lesion resection. In my thesis, we develop a consistent objective methodology to quantify and evaluate surgical freedom, which has been previously evaluated subjectively, and apply this model to the analysis of various endoscopic techniques. This model is crucial for evaluating different endoscopic surgical approaches before they are applied in a clinical setting, for identifying surgical maneuvers that can improve surgical freedom, and for developing endoscopic training simulators that accurately model the surgical freedom of various approaches. Quantifying the extent of endoscopic surgical freedom will also provide developers with valuable data that will help them design improved endoscopes and endoscopic instrumentation.
ContributorsElhadi, Ali M. (Author) / Preul, Mark C (Thesis advisor) / Towe, Bruce (Thesis advisor) / Little, Andrew S. (Committee member) / Nakaji, Peter (Committee member) / Vu, Eric T (Committee member) / Arizona State University (Publisher)
Created2014
Description
Spatiotemporal processing in the mammalian olfactory bulb (OB), and its analog, the invertebrate antennal lobe (AL), is subject to plasticity driven by biogenic amines. I study plasticity using honey bees, which have been extensively studied with respect to nonassociative and associative based olfactory learning and memory. Octopamine (OA) release in the AL is the functional analog to epinephrine in the OB. Blockade of OA receptors in the AL blocks plasticity induced changes in behavior. I have now begun to test specific hypotheses related to how this biogenic amine might be involved in plasticity in neural circuits within the AL. OA acts via different receptor subtypes, AmOA1, which gates calcium release from intracellular stores, and AmOA-beta, which results in an increase of cAMP. Calcium also enters AL interneurons via nicotinic acetylcholine receptors, which are driven by acetylcholine release from sensory neuron terminals, as well as through voltage-gated calcium channels. I employ 2-photon excitation (2PE) microscopy using fluorescent calcium indicators to investigate potential sources of plasticity as revealed by calcium fluctuations in AL projection neuron (PN) dendrites in vivo. PNs are analogous to mitral cells in the OB and have dendritic processes that show calcium increases in response to odor stimulation. These calcium signals frequently change after association of odor with appetitive reinforcement. However, it is unclear whether the reported plasticity in calcium signals are due to changes intrinsic to the PNs or to changes in other neural components of the network. My studies were aimed toward understanding the role of OA for establishing associative plasticity in the AL network. Accordingly, I developed a treatment that isolates intact, functioning PNs in vivo. A second study revealed that cAMP is a likely component of plasticity in the AL, thus implicating the AmOA-beta; receptors. Finally, I developed a method for loading calcium indicators into neural components of the AL that have yet to be studied in detail. These manipulations are now revealing the molecular mechanisms contributing to associative plasticity in the AL. These studies will allow for a greater understanding of plasticity in several neural components of the honey bee AL and mammalian OB.
ContributorsProtas, Danielle (Author) / Smith, Brian H. (Thesis advisor) / Neisewander, Janet (Committee member) / Anderson, Trent (Committee member) / Tyler, William (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2014
Description
Following a traumatic brain injury (TBI) 5-50% of patients will develop post traumatic epilepsy (PTE). Pediatric patients are most susceptible with the highest incidence of PTE. Currently, we cannot prevent the development of PTE and knowledge of basic mechanisms are unknown. This has led to several shortcomings to the treatment of PTE, one of which is the use of anticonvulsant medication to the population of TBI patients that are not likely to develop PTE. The complication of identifying the two populations has been hindered by the ability to find a marker to the pathogenesis of PTE. The central hypothesis of this dissertation is that following TBI, the cortex undergoes distinct cellular and synaptic reorganization that facilitates cortical excitability and promotes seizure development. Chapter 2 of this dissertation details excitatory and inhibitory changes in the rat cortex after severe TBI. This dissertation aims to identify cortical changes to a single cell level after severe TBI using whole cell patch clamp and electroencephalogram electrophysiology. The work of this dissertation concluded that excitatory and inhibitory synaptic activity in cortical controlled impact (CCI) animals showed the development of distinct burst discharges that were not present in control animals. The results suggest that CCI induces early "silent" seizures that are detectable on EEG and correlate with changes to the synaptic excitability in the cortex. The synaptic changes and development of burst discharges may play an important role in synchronizing the network and promoting the development of PTE.
ContributorsNichols, Joshua (Author) / Anderson, Trent (Thesis advisor) / Neisewander, Janet (Thesis advisor) / Newbern, Jason (Committee member) / Arizona State University (Publisher)
Created2014
Description
Current treatment methods for cerebral aneurysms are providing life-saving measures for patients suffering from these blood vessel wall protrusions; however, the drawbacks present unfortunate circumstances in the invasive procedure or with efficient occlusion of the aneurysms. With the advancement of medical devices, liquid-to-solid gelling materials that could be delivered endovascularly have gained interest. The development of these systems stems from the need to circumvent surgical methods and the requirement for improved occlusion of aneurysms to prevent recanalization and potential complications. The work presented herein reports on a liquid-to-solid gelling material, which undergoes gelation via dual mechanisms. Using a temperature-responsive polymer, poly(N-isopropylacrylamide) (poly(NIPAAm), the gelling system can transition from a solution at low temperatures to a gel at body temperature (physical gelation). Additionally, by conjugating reactive functional groups onto the polymers, covalent cross-links can be formed via chemical reaction between the two moieties (chemical gelation). The advantage of this gelling system comprises of its water-based properties as well as the ability of the physical and chemical gelation to occur within physiological conditions. By developing the polymer gelling system in a ground-up approach via synthesis, its added benefit is the capability of modifying the properties of the system as needed for particular applications, in this case for embolization of cerebral aneurysms. The studies provided in this doctoral work highlight the synthesis, characterization and testing of these polymer gelling systems for occlusion of aneurysms. Conducted experiments include thermal, mechanical, structural and chemical characterization, as well as analysis of swelling, degradation, kinetics, cytotoxicity, in vitro glass models and in vivo swine study. Data on thermoresponsive poly(NIPAAm) indicated that the phase transition it undertakes comes as a result of the polymer chains associating as temperature is increased. Poly(NIPAAm) was functionalized with thiols and vinyls to provide for added chemical cross-linking. By combining both modes of gelation, physical and chemical, a gel with reduced creep flow and increased strength was developed. Being waterborne, the gels demonstrated excellent biocompatibility and were easily delivered via catheters and injected within aneurysms, without undergoing degradation. The dual gelling polymer systems demonstrated potential in use as embolic agents for cerebral aneurysm embolization.
ContributorsBearat, Hanin H (Author) / Vernon, Brent L (Thesis advisor) / Frakes, David (Committee member) / Massia, Stephen (Committee member) / Pauken, Christine (Committee member) / Preul, Mark (Committee member) / Solis, Francisco (Committee member) / Arizona State University (Publisher)
Created2012
Description
Rapid intraoperative diagnosis of brain tumors is of great importance for planning treatment and guiding the surgeon about the extent of resection. Currently, the standard for the preliminary intraoperative tissue analysis is frozen section biopsy that has major limitations such as tissue freezing and cutting artifacts, sampling errors, lack of immediate interaction between the pathologist and the surgeon, and time consuming.
Handheld, portable confocal laser endomicroscopy (CLE) is being explored in neurosurgery for its ability to image histopathological features of tissue at cellular resolution in real time during brain tumor surgery. Over the course of examination of the surgical tumor resection, hundreds to thousands of images may be collected. The high number of images requires significant time and storage load for subsequent reviewing, which motivated several research groups to employ deep convolutional neural networks (DCNNs) to improve its utility during surgery. DCNNs have proven to be useful in natural and medical image analysis tasks such as classification, object detection, and image segmentation.
This thesis proposes using DCNNs for analyzing CLE images of brain tumors. Particularly, it explores the practicality of DCNNs in three main tasks. First, off-the shelf DCNNs were used to classify images into diagnostic and non-diagnostic. Further experiments showed that both ensemble modeling and transfer learning improved the classifier’s accuracy in evaluating the diagnostic quality of new images at test stage. Second, a weakly-supervised learning pipeline was developed for localizing key features of diagnostic CLE images from gliomas. Third, image style transfer was used to improve the diagnostic quality of CLE images from glioma tumors by transforming the histology patterns in CLE images of fluorescein sodium-stained tissue into the ones in conventional hematoxylin and eosin-stained tissue slides.
These studies suggest that DCNNs are opted for analysis of CLE images. They may assist surgeons in sorting out the non-diagnostic images, highlighting the key regions and enhancing their appearance through pattern transformation in real time. With recent advances in deep learning such as generative adversarial networks and semi-supervised learning, new research directions need to be followed to discover more promises of DCNNs in CLE image analysis.
Handheld, portable confocal laser endomicroscopy (CLE) is being explored in neurosurgery for its ability to image histopathological features of tissue at cellular resolution in real time during brain tumor surgery. Over the course of examination of the surgical tumor resection, hundreds to thousands of images may be collected. The high number of images requires significant time and storage load for subsequent reviewing, which motivated several research groups to employ deep convolutional neural networks (DCNNs) to improve its utility during surgery. DCNNs have proven to be useful in natural and medical image analysis tasks such as classification, object detection, and image segmentation.
This thesis proposes using DCNNs for analyzing CLE images of brain tumors. Particularly, it explores the practicality of DCNNs in three main tasks. First, off-the shelf DCNNs were used to classify images into diagnostic and non-diagnostic. Further experiments showed that both ensemble modeling and transfer learning improved the classifier’s accuracy in evaluating the diagnostic quality of new images at test stage. Second, a weakly-supervised learning pipeline was developed for localizing key features of diagnostic CLE images from gliomas. Third, image style transfer was used to improve the diagnostic quality of CLE images from glioma tumors by transforming the histology patterns in CLE images of fluorescein sodium-stained tissue into the ones in conventional hematoxylin and eosin-stained tissue slides.
These studies suggest that DCNNs are opted for analysis of CLE images. They may assist surgeons in sorting out the non-diagnostic images, highlighting the key regions and enhancing their appearance through pattern transformation in real time. With recent advances in deep learning such as generative adversarial networks and semi-supervised learning, new research directions need to be followed to discover more promises of DCNNs in CLE image analysis.
ContributorsIzady Yazdanabadi, Mohammadhassan (Author) / Preul, Mark (Thesis advisor) / Yang, Yezhou (Thesis advisor) / Nakaji, Peter (Committee member) / Vernon, Brent (Committee member) / Arizona State University (Publisher)
Created2019
Description
Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.
ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
The imaging and detection of specific cell types deep in biological tissue is critical for the diagnosis of cancer and the study of biological phenomena. Current high-resolution optical imaging techniques are depth limited due to the high degree of optical scattering that occurs in tissues. To address these limitations, photoacoustic (PA) techniques have emerged as noninvasive methods for the imaging and detection of specific biological structures at extended depths in vivo. In addition, near-infrared (NIR) contrast agents have further increased the depth at which PA imaging can be achieved in biological tissues. The goal of this research is to combine novel PA imaging and NIR labeling strategies for the diagnosis of disease and for the detection of neuronal subtypes. Central Hypothesis: Utilizing custom-designed PA systems and NIR labeling techniques will enable the detection of specific cell types in vitro and in mammalian brain slices. Work presented in this dissertation addresses the following: (Chapter 2): The custom photoacoustic flow cytometry system combined with NIR absorbing copper sulfide nanoparticles for the detection of ovarian circulating tumor cells (CTCs) at physiologically relevant concentrations. Results obtained from this Chapter provide a unique tool for the future detection of ovarian CTCs in patient samples at the point of care. (Chapter 3): The custom photoacoustic microscopy (PAM) system can detect genetically encoded near-infrared fluorescent proteins (iRFPs) in cells in vitro. Results obtained from this Chapter can significantly increase the depth at which neurons and cellular processes can be targeted and imaged in vitro. (Chapter 4): Utilizing the Cre/lox recombination system with AAV vectors will enable selective tagging of dopaminergic neurons with iRFP for detection in brain slices using PAM. Thus, providing a new means of increasing the depth at which neuronal subtypes can be imaged and detected in the mammalian brain. Significance: Knowledge gained from this research could have significant impacts on the PA detection of ovarian cancer and extend the depth at which neuronal subtypes are imaged in the mammalian brain.
ContributorsLusk, Joel F. (Author) / Smith, Barbara S. (Thesis advisor) / Halden, Rolf (Committee member) / Anderson, Trent (Committee member) / Arizona State University (Publisher)
Created2022
Description
Pediatric traumatic brain injury (TBI) is a leading cause of death and disability in children. When TBI occurs in children it often results in severe cognitive and behavioral deficits. Post-injury, the pediatric brain may be sensitive to the effects of TBI while undergoing a number of age-dependent physiological and neurobiological changes. Due to the nature of the developing cortex, it is important to understand how a pediatric brain recovers from a severe TBI (sTBI) compared to an adult. Investigating major cortical and cellular changes after sTBI in a pediatric model can elucidate why pediatrics go on to suffer more neurological damage than an adult after head trauma. To model pediatric sTBI, I use controlled cortical impact (CCI) in juvenile mice (P22). First, I show that by 14 days after injury, animals begin to show recurrent, non-injury induced, electrographic seizures. Also, using whole-cell patch clamp, layer V pyramidal neurons in the peri-injury area show no changes except single-cell excitatory and inhibitory synaptic bursts. These results demonstrate that CCI induces epileptiform activity and distinct synaptic bursting within 14 days of injury without altering the intrinsic properties of layer V pyramidal neurons. Second, I characterized changes to the cortical inhibitory network and how fast-spiking (FS) interneurons in the peri-injury region function after CCI. I found that there is no loss of interneurons in the injury zone, but a 70% loss of parvalbumin immunoreactivity (PV-IR). FS neurons received less inhibitory input and greater excitatory input. Finally, I show that the cortical interneuron network is also affected in the contralateral motor cortex. The contralateral motor cortex shows a loss of interneurons and loss of PV-IR. Contralateral FS neurons in the motor cortex synaptically showed greater excitatory input and less inhibitory input 14 days after injury. In summary, this work demonstrates that by 14 days after injury, the pediatric cortex develops epileptiform activity likely due to cortical inhibitory network dysfunction. These findings provide novel insight into how pediatric cortical networks function in the injured brain and suggest potential circuit level mechanisms that may contribute to neurological disorders as a result of TBI.
ContributorsNichols, Joshua (Author) / Anderson, Trent (Thesis advisor) / Newbern, Jason (Thesis advisor) / Neisewander, Janet (Committee member) / Qiu, Shenfeng (Committee member) / Stabenfeldt, Sarah (Committee member) / Arizona State University (Publisher)
Created2015
Description
Development of the cerebral cortex requires the complex integration of extracellular stimuli to affect changes in gene expression. Trophic stimulation activates specialized intracellular signaling cascades to instruct processes necessary for the elaborate cellular diversity, architecture, and function of the cortex. The canonical RAS/RAF/MEK/ERK (ERK/MAPK) cascade is a ubiquitously expressed kinase pathway that regulates crucial aspects of neurodevelopment. Mutations in the ERK/MAPK pathway or its regulators give rise to neurodevelopmental syndromes termed the “RASopathies.” RASopathy individuals present with neurological symptoms that include intellectual disability, ADHD, and seizures. The precise cellular mechanisms that drive neurological impairments in RASopathy individuals remain unclear. In this thesis, I aimed to 1) address how RASopathy mutations affect neurodevelopment, 2) elucidate fundamental requirements of ERK/MAPK in GABAergic circuits, and 3) determine how aberrant ERK/MAPK signaling disrupts GABAergic development.
Here, I show that a Noonan Syndrome-linked gain-of-function mutation Raf1L613V, drives modest changes in astrocyte and oligodendrocyte progenitor cell (OPC) density in the mouse cortex and hippocampus. Raf1L613V mutant mice exhibited enhanced performance in hippocampal-dependent spatial reference and working memory and amygdala-dependent fear learning tasks. However, we observed normal perineuronal net (PNN) accumulation around mutant parvalbumin-expressing (PV) interneurons. Though PV-interneurons were minimally affected by the Raf1L613V mutation, other RASopathy mutations converge on aberrant GABAergic development as a mediator of neurological dysfunction.
I therefore hypothesized interneuron expression of the constitutively active Mek1S217/221E (caMek1) mutation would be sufficient to perturb GABAergic circuit development. Interestingly, the caMek1 mutation selectively disrupted crucial PV-interneuron developmental processes. During embryogenesis, I detected expression of cleaved-caspase 3 (CC3) in the medial ganglionic eminence (MGE). Interestingly, adult mutant cortices displayed a selective 50% reduction in PV-expressing interneurons, but not other interneuron subtypes. PV-interneuron loss was associated with seizure-like activity in mutants and coincided with reduced perisomatic synapses. Mature mutant PV-interneurons exhibited somal hypertrophy and a substantial increase in PNN accumulation. Aberrant GABAergic development culminated in reduced behavioral response inhibition, a process linked to ADHD-like behaviors. Collectively, these data provide insight into the mechanistic underpinnings of RASopathy neuropathology and suggest that modulation of GABAergic circuits may be an effective therapeutic option for RASopathy individuals.
Here, I show that a Noonan Syndrome-linked gain-of-function mutation Raf1L613V, drives modest changes in astrocyte and oligodendrocyte progenitor cell (OPC) density in the mouse cortex and hippocampus. Raf1L613V mutant mice exhibited enhanced performance in hippocampal-dependent spatial reference and working memory and amygdala-dependent fear learning tasks. However, we observed normal perineuronal net (PNN) accumulation around mutant parvalbumin-expressing (PV) interneurons. Though PV-interneurons were minimally affected by the Raf1L613V mutation, other RASopathy mutations converge on aberrant GABAergic development as a mediator of neurological dysfunction.
I therefore hypothesized interneuron expression of the constitutively active Mek1S217/221E (caMek1) mutation would be sufficient to perturb GABAergic circuit development. Interestingly, the caMek1 mutation selectively disrupted crucial PV-interneuron developmental processes. During embryogenesis, I detected expression of cleaved-caspase 3 (CC3) in the medial ganglionic eminence (MGE). Interestingly, adult mutant cortices displayed a selective 50% reduction in PV-expressing interneurons, but not other interneuron subtypes. PV-interneuron loss was associated with seizure-like activity in mutants and coincided with reduced perisomatic synapses. Mature mutant PV-interneurons exhibited somal hypertrophy and a substantial increase in PNN accumulation. Aberrant GABAergic development culminated in reduced behavioral response inhibition, a process linked to ADHD-like behaviors. Collectively, these data provide insight into the mechanistic underpinnings of RASopathy neuropathology and suggest that modulation of GABAergic circuits may be an effective therapeutic option for RASopathy individuals.
ContributorsHolter, Michael (Author) / Newbern, Jason (Thesis advisor) / Anderson, Trent (Committee member) / Mehta, Shwetal (Committee member) / Neisewander, Janet (Committee member) / Arizona State University (Publisher)
Created2019
Description
Intraoperative diagnosis in neurosurgery has traditionally relied on frozen and formalin-fixed, paraffin-embedded section analysis of biopsied tissue samples. Although this technique is considered to be the “gold standard” for establishing a histopathologic diagnosis, it entails a number of significant limitations such as invasiveness and the time required for processing and interpreting the tissue. Rapid intraoperative diagnosis has become possible with a handheld confocal laser endomicroscopy (CLE) system. Combined with appropriate fluorescent stains or labels, CLE provides an imaging technique for real-time intraoperative visualization of histopathologic features of the suspected tumor and healthy tissues.
This thesis scrutinizes CLE technology for its ability to provide real-time intraoperative in vivo and ex vivo visualization of histopathological features of the normal and tumor brain tissues. First, the optimal settings for CLE imaging are studied in an animal model along with a generational comparison of CLE performance. Second, the ability of CLE to discriminate uninjured normal brain, injured normal brain and tumor tissues is demonstrated. Third, CLE was used to investigate cerebral microvasculature and blood flow in normal and pathological conditions. Fourth, the feasibility of CLE for providing optical biopsies of brain tumors was established during the fluorescence-guided neurosurgical procedures. This study established the optimal workflow and confirmed the high specificity of the CLE optical biopsies. Fifth, the feasibility of CLE was established for endoscopic endonasal approaches and interrogation of pituitary tumor tissue. Finally, improved and prolonged near wide-field fluorescent visualization of brain tumor margins was demonstrated with a scanning fiber endoscopy and 5-aminolevulinic acid.
These studies suggested a novel paradigm for neurosurgery-pathology workflow when the noninvasive intraoperative optical biopsies are used to interrogate the tissue and augment intraoperative decision making. Such optical biopsies could shorten the time for obtaining preliminary information on the histological composition of the tissue of interest and may lead to improved diagnostics and tumor resection. This work establishes a basis for future in vivo optical biopsy use in neurosurgery and planning of patient-related outcome studies. Future studies would lead to refinement and development of new confocal scanning technologies making noninvasive optical biopsy faster, convenient and more accurate.
This thesis scrutinizes CLE technology for its ability to provide real-time intraoperative in vivo and ex vivo visualization of histopathological features of the normal and tumor brain tissues. First, the optimal settings for CLE imaging are studied in an animal model along with a generational comparison of CLE performance. Second, the ability of CLE to discriminate uninjured normal brain, injured normal brain and tumor tissues is demonstrated. Third, CLE was used to investigate cerebral microvasculature and blood flow in normal and pathological conditions. Fourth, the feasibility of CLE for providing optical biopsies of brain tumors was established during the fluorescence-guided neurosurgical procedures. This study established the optimal workflow and confirmed the high specificity of the CLE optical biopsies. Fifth, the feasibility of CLE was established for endoscopic endonasal approaches and interrogation of pituitary tumor tissue. Finally, improved and prolonged near wide-field fluorescent visualization of brain tumor margins was demonstrated with a scanning fiber endoscopy and 5-aminolevulinic acid.
These studies suggested a novel paradigm for neurosurgery-pathology workflow when the noninvasive intraoperative optical biopsies are used to interrogate the tissue and augment intraoperative decision making. Such optical biopsies could shorten the time for obtaining preliminary information on the histological composition of the tissue of interest and may lead to improved diagnostics and tumor resection. This work establishes a basis for future in vivo optical biopsy use in neurosurgery and planning of patient-related outcome studies. Future studies would lead to refinement and development of new confocal scanning technologies making noninvasive optical biopsy faster, convenient and more accurate.
ContributorsBelykh, Evgenii (Author) / Preul, Mark C (Thesis advisor) / Vernon, Brent (Thesis advisor) / Nakaji, Peter (Committee member) / Stabenfeldt, Sarah E (Committee member) / Arizona State University (Publisher)
Created2020