Human immunodeficiency virus type 1 (HIV-1) persists in certain CNS cell populations, despite peripheral control of the infection with modern antiretroviral therapy. Infected and/or activated cells release viral proteins, such as trans-activator of transcription (Tat) and various pro-inflammatory factors such as CCL5, creating a positive loop of neuro-inflammation. This serves as the basis for the resulting sublethal and lethal neuropathology that manifests as a spectrum of HIV-mediated CNS impairments, known as HIV-associated neurocognitive disorders (HAND). Opiates, which exist as an interlinked epidemic with HIV-1 infections, exacerbate these neurological effects through direct and indirect mechanisms that disrupt both glial and neuronal function. We hypothesize this is due to converging actions on the CCL5-CCR5 signaling axis by HIV-1 Tat and morphine co-exposure, primarily mediated at the level of the glia, whose consequent activation leads to neuronal damage. We performed repeated measure studies on mixed glia and neuron co-cultures obtained from C57Bl/6J and/or CCR5 knockout mice, treated with Tat and/or morphine for 72 hours. As established in prior studies, morphine worsened Tat-induced neurotoxicity in wild-type co-cultures; substitution of CCR5-null glia eliminated the interactive effects of Tat and morphine, but substitution of CCR5-null neurons did not. Overall, these results suggest that glial CCR5, but not neuronal CCR5, is a convergence point for the interactive effects of Tat and morphine that result in neuron loss. Additional experiments involving treatments with naloxone, a MOR antagonist, or the CCR5 antagonist maraviroc, confirmed each receptor’s role in mediating Tat + morphine toxicity. Quite surprisingly, in co-cultures of wild-type neurons and CCR5-null glia, morphine entirely protected neurons from the neurotoxic effects of Tat. We hypothesize that this effect may reflect an imbalance of neurotrophic factors, particularly BDNF and its neurotoxic precursor proBDNF, whose levels are altered in HIV+ and illicit drug-using patients and may contribute to changes in neuronal signaling and survival exhibited in HAND. Related behavioral tests of anxiety, motor and cognitive function – three areas of neurologic decline seen in HAND – were performed in inducible Tat-transgenic mice that were treated with maraviroc via oral gavage. Tat-mediated impairment was observed in the Barnes Maze, a measure of spatial memory, and was ameliorated by maraviroc. Finally, we assessed the role of CCR5 in mediating Tat and/or morphine effects on psychomotor sensitization and dendritic morphology. With both in vitro and in vivo studies, our findings support the hypothesis that CCR5 plays a central role in driving HIV-1 Tat and/or morphine-mediated neuronal damage.

The purpose of this study was to determine the overall satisfaction officers experience with the mental health resources provided by their department. The research aimed to determine whether or not age had an impact on satisfaction levels of police officers. The results from this research would provide information for law enforcement agencies to use in evaluating their own mental health services. Archival survey data from the National Police Suicide Foundation (n = 48) was used for this study to examine the research question: how does age impact an officer's satisfaction in mental health resources. A linear regression was used to analyze the data. In the current study, age did not appear to be a predictor of officer satisfaction in mental health resources. The implications for social change are that awareness is raised by law enforcement agencies to evaluate their own programs to ensure their officers are receiving adequate mental health care.

Lymphocytic Choriomeningitis Virus (LCMV) is a common arenavirus and natural murine pathogen that causes congenital neurodevelopmental disease in humans. Exposure to the virus in utero often results in severe and permanent damage the fetal brain and eyes. While usually severe, symptoms vary from case to case. Little is known about the pathological mechanism of congenital LCMV disease. Animal models of congenital LCMV infections suggest that timing of infection during gestation may influence disease outcomes; however, time alone cannot explain all of the variation observed in humans. Another possibility is that individuals are infected with different strains of LCMV. The LCMV genome is composed of four highly conserved genes, yet even single amino acid mutations can cause the virus to exhibit very different properties in animal models. However, the role of viral strain in the context of neurodevelopment remains relatively unexplored. Here, using a rat model of congenital LCMV infection, we demonstrate that three related strains of LCMV produce different patterns of infection and disease states. Infection with the highly neurotropic E350 strain induces a disease comparable to that observed in many confirmed cases of human congenital LCMV infection. While most of these animals survive to adulthood, they suffer permanent motor and behavioral abnormalities. Postmortem analyses of infected brains suggest that this strain has a proclivity for infecting mitotically active regions of the brain, including the cerebellum, olfactory bulb, hippocampus and subventricular region. E350 is not known to induce immunosuppression and viral clearance is likely mediated by a robust T-cell response. Indeed, we find high numbers of inflammatory cells in the brains of E350 animals and elevated pro-inflammatory cytokines and chemokines. The immune response, though responsible for the clearance of the virus from the brain, is also implicated in severe and sometimes permanent brain damage. The Clone 13 strain, a strain typically associated with lymphatic tissue, readily infects the brains of developing rats. Many of these animals do not live to adulthood. Those that survive exhibit extreme stunted growth, but relatively normal neurodevelopment and little discernable neurological disease. By adulthood, the brains of these animals are comparable in size and structure to controls, despite reduced body mass. The Clone 13 infects the same brain regions as the E350, but is not cleared and remained at high titers for the duration of the study. Chronic infection is likely a consequence of the immunosuppressive effects of Clone 13 on the host immune system. The WE2.2 causes a severe disease with both neurological and systemic symptoms. These animals exhibit persistent seizure like discharges during peak infection and significant motor deficits. They all fail to thrive, losing weight shortly after infection and die invariably 9-11 days post-inoculation. The brains of WE2.2 animals exhibit widespread infection of neurons in the cerebellum, hippocampus, olfactory bulbs, and cortex. WE2.2 does not cause immunosuppression and high levels of inflammatory cells are observed in the brain. Cytokine and chemokine expression is complex, without discernible trends and variable by brain region. Finally, we looked at alpha-dystroglycan (α-DG) expression in the brain and compared it with infectivity among the strains. Alpha-dystroglycan is recognized as the principle receptor for LCMV and due to mutations in the viral glycoprotein, certain strains are more dependent on α-DG for infection. Several associations between α-DG expression and viral infectivity were observed; however α-DG expression alone could not explain all the differences in infection patterns.

There is more information in the visual environment than we can process at a given time, and as a result selective attention mechanisms have developed that allow us to focus on information that is relevant to us while ignoring information that is not. It is often assumed that our ability to overcome distraction by irrelevant information in the environment requires conscious, effortful processing, and traditional theories of selective attention have emphasized the role of an observer's explicit intentions in driving this control. At the same time, effortful control on the basis of explicit processes may be maladaptive when the behaviors to be executed are complex and dynamic, as is the case with many behaviors that we carry out on a daily basis. One way to increase the efficiency of this process would be to store information regarding past experiences with a distracting stimulus, and use this information to control distraction upon future encounters with that particular stimulus. The focus of the current thesis was to examine such a "learned control" view of distraction, where experience with particular stimuli is the critical factor determining whether or not a salient stimulus will capture attention and distract us in a given situation. In Chapters 2 through 4, I established a role for task-specific learning in the ability of observers to overcome attentional capture, showing that experience with particular attributes of distracting stimuli and the context in which the task was performed led to a predictable decrease in capture. In Chapter 5, I examined the neural basis of these learned control effects, and the results suggest that neocortical and medial temporal lobe learning mechanisms both contribute to the experience-dependent modulation of attentional capture observed in Chapters 2-4. Based on these results, a model of attentional capture was proposed in which experience with particular stimulus attributes and their context critically determine the ability of salient, task-irrelevant information to capture attention and cause distraction. I conclude that although explicit processes may play some role in this process under some conditions, much of our ability to overcome distraction results directly from past experience with the visual world.

Previous studies have shown that the experience of negative emotions is rarer, while experience of positive emotions is more frequent in the elderly, suggesting an overall improvement in emotional well-being as people age. However, most research did not account for the dynamic characteristics of emotions (e.g. peak intensity, latency, duration) and the levels of emotional challenges. In addition, since most previous studies have focused on studying the experience, expression, and psychophysiological response of emotion, it is still not fully understood how performance in cognitive or behavioral tasks (e.g., automobile driving) can be affected by emotions in older age. To address this gap, the current study examined the effect of normal aging on the dynamic processes of emotion during different levels of emotional challenge (aim 1), and the effect of emotion on driving in older adults as compared to middle-aged adults (aim 2). Parkinson’s disease (PD) is an age-related neurodegenerative disease that shares similar pathological characteristics with the process of normal aging (i.e., reduced dopamine), but to a much higher degree. In addition to investigating the effect of normal aging, the current study also examined the effect of “abnormal aging” on emotion and driving using PD as a model (aim 3). Participants included 16 older (65 - 79 years old), 16 middle-aged (38 - 55 years old) neurologically normal adults, and 16 patients with mild PD (56 - 80 years old). This study focused on fear and anger, the two negative emotions that are most likely to be elicited by driving experiences and to disrupt driving behaviors. Low-level and high-level fear and anger challenges were created using simulated driving scenarios: 1) Low fear task, participants drove in fog and frequently encountered static obstacles on the road; 2) High fear task, participants drove at nighttime and frequently encountered deer running across the road; 3) Low anger task, participants drove following a slow-moving vehicle; 4) High anger task, participants followed a slow vehicle and were honked at by a tailgating vehicle. Participants rated the intensity of fear and anger experiences at 1- minute intervals when they were driving. Comparing older adults against middle-aged adults, it was found that 1) fear intensity was lower in older adults in the low fear task. In contrast, latency and duration of fear were similar between groups in both fear tasks. 2) Anger intensity was lower in older adults in both anger tasks. Anger latency and duration were similar between groups in the high anger task, but anger took longer to develop and was of shorter duration in older adults in the low anger task. 3) In the low fear task, older adults exhibited more cautious driving behaviors (e.g., more frequent uses of brake). In the high anger task older adults were less able to control the acceleration and brake pedals smoothly (e.g., higher forces for brake and acceleration). These results suggest that age differences in the dynamic processes of emotion and the effect of emotion on driving may depend on the type of emotion and level of emotional challenge. When comparing PD patients against age- and education-matched neurologically normal participants (n = 18), it was found that the PD patients reported experiencing similar degrees of fear and anger as the normal comparisons. However, in the high fear task PD patients were less responsive to deer running across the road (e.g., mean and variation of force for brake was lower in PD patients). This finding suggests an impaired ability in PD patients to respond to the sudden appearance of driving hazards. Collectively, the findings of this study provide a window into how the moment-to-moment experience of negative emotions in response to environmental challenges may contribute to the overall emotional well-being of older adults. They also suggest that both the type of emotion and the level of challenge may be important factors in determining the experience of emotion and the effect of emotion on driving during “normal” and “abnormal” aging.

Reward has been shown to improve multiple forms of learning. However, many of these studies do not distinguish whether reward directly benefits learning or if learning is boosted by modulation of top-down factors such as attention and motivation. The work outlined in this dissertation explores the modulatory effects of reward and punishment without directly manipulating top-down factors such as attention or motivation. We achieved this goal by studying the effects of reward and punishment on incidental learning – a branch of procedural learning where learning occurs without intention and through repetition. Our results reveal that reward is able to bolster incidental learning during the performance and learning of an associative task, even when awareness of how to achieve the reward is minimized (Experiments 1 and 2). However, a similar benefit was not observed in an analogous set of experiments examining the effect of punishment on incidental learning (Experiments 3 and 4). A direct comparison between the effect of reward and punishment on incidental learning revealed a significant advantage for rewarded combinations over punishment. However, this advantage was only observed when high cognitive (associative) demands were emphasized (Experiment 6), as opposed to high motor demands (Experiment 5). Finally, we explored the role of dopamine in the effect of reward on incidental learning. Because dopamine neuron dynamics have been implicated in both reward processing and in various forms of learning, we hypothesized that patients with Parkinson's disease (PD), who experience an accelerated rate of death of dopamine neurons, would experience impaired learning from rewards compared to healthy older adults. Experiment 7 revealed a significant impairment in reward-related incidental learning for patients with Parkinson's disease relative to comparisons. The amount of levodopa medication taken by PD patients predicted the effect of reward, demonstrating a potential link between dopamine levels and the effect of reward on incidental learning. Together, this dissertation demonstrates that 1) reward improves incidental learning, 2) reward may be an exceptional form of feedback, as opposed to punishments, and 3) dopamine levels may potentially drive the effect of reward on incidental learning

DYT1 dystonia (DYT1) is a disabling inherited neurological disorder with juvenile onset. The genetic mutation in DYT1 leads to the deletion of a glutamic acid (E) residue in the protein torsinA. The function of torsinA and how the mutation leads to DYT1 is poorly understood. We hypothesize that how efficiently the disease-linked mutant protein is cleared may be critical for DYT1 pathogenesis. Therefore we explored mechanisms of torsinA catabolism, employing biochemical, cellular, and animal-based approaches. We asked if torsinA(wt) and torsinA(DE) are degraded preferentially through different catabolic mechanisms, specifically the ubiquitin proteasome pathway (UPP) and autophagy. We determined that torsinA(wt) is cleared by autophagy while torsinA(DE) is efficiently degraded by the UPP suggesting degradation processes can modulate torsinA(DE) levels. Proteins implicated in recognizing motifs on torsinA(DE) for targeting to the UPP represent candidate proteins that may modify DYT1 pathogenesis. We examined how removal of the hydrophobic domain and mutation of glycosylated asparagine residues on torsinA altered stability and catabolic mechanism. We found the glycosylation sites on torsinA are important for stability modulate its degradation through the UPP. F-box G-domain protein 1 (FBG1) has been implicated in degradation of glycosylated ER proteins. We hypothesized that FBG1 would promote torsinA degradation and demonstrated that FBG1 modulates levels of torsinA in a non-canonical manner through the UPP and autophagy. We examined if lack of FBG1 in a torsinA(DE) mouse model altered motor phenotypes. We saw no effect which suggests FBG1 does not alter DYT1 pathogenesis despite its promotion of torsinA(DE) degradation. In addition, we explored a potential mechanism for the previously described role of torsinA in modulating cytoplasmic protein aggregation. We hypothesized this endoplasmic reticulum (ER) resident protein would indirectly alter cytoplasmic protein aggregation through modulation of ER stress. We employed a poly-glutamine expanded repeat protein and pharmacological ER stressors to determine that torsinA does not alter poly-glutamine protein aggregation nor ER stress in a mammalian system. In summary, this thesis suggests proteins involved in the catabolism of torsinA(DE) may modify DYT1 pathogenesis and that torsinA and its DYT1-linked mutant are model proteins for investigating ER protein degradation by the UPP and autophagy.

Steroid hormones are known to have significant effects on a wide variety of biological processes. In particular, they serve as critical modulators of neural function and behavior and play critical roles in stress responses and neurologic disorders. Until recently the biological actions of steroid hormones were believed to operate primarily through activation of cognate nuclear hormone receptors or the allosteric modulation of ion channels (Majewskaet al., 1986). However, new signaling pathways involving G-protein coupled receptors (GPCRs) for steroid hormones have been recently identified in multiple different species, implicating steroid hormones in direct fast modulation of intracellular signaling and in turn behavior (Thomas et al., 2006, Gabor et al., 2015). In mammals G protein-coupled estrogen receptor 1 (GPER), also known as G protein-coupled receptor 30 (GPR30), is expressed throughout the body including in the nervous system and has been suggested to play a variety of roles in health and behavior (Prossnitz and Barton, 2011). Despite recent progress in this area from studies using rodent models, the mechanisms underlying "non-genomic” actions of steroids remain largely elusive. This gap in our understanding presents a significant scientific and clinical challenge to a comprehensive view of the role of steroid hormones in regulating both neural function, behavior and overall health of the organism. To understand the mechanisms for this unconventional steroid signaling we sought to use a simpler system to explore the functions of GPCR’s for steroid hormones. In 2005, Peter Evans’s group identified DopEcR, a unique GPCR in Drosophila melanogaster, which responds to ecdysone—the major steroid hormone in insects (Srivastava et al. 2005). This unconventional GPCR for steroid hormones is particularly interesting because it is a dual receptor that also responds to a structurally dissimilar compound, dopamine. DopEcR is preferentially expressed in the nervous system and has recently been implicated in modulating multiple behaviors including starvation-induced enhancement of sugar sensitivity (Inagaki et al., 2012), experience-dependent courtship suppression, habituation of the giant fiber pathway (Ishimoto et al., 2013) and ethanol-induced sedation (Petruccelli et al. 2016) in flies. DopEcR also plays a role in perception of sex pheromones in moths (Abrieux et al., 2013). More recently the mammalian GPCR for estrogen GPER has also been found to bind dopamine indicating that this unique attribute may be more prevalent among these novel GPCRs for steroids (Evans et al. 2013). Despite these previous findings, we still know little about how GPCRs for steroids modulate neurons at the cellular level and how they modulate behaviors. Therefore we sought to forge a more comprehensive understanding of the function of steroid signaling by characterizing DopEcR function in neuronal and behavioral modulation through GPCR’s. To characterize DopEcR’s function we looked at the consequences of DopEcR signaling at three levels: behavior, neuronal morphology and finally physiology. Because changes steroid hormones levels are often associated with environmental stressors we assayed the role of DopEcR in a stress related behavior: starvation-induced sleep suppression and hyperactivity. To look at DopEcR’s role in neuronal physiology we used bioluminescent calcium imaging to measure its effect on the stimulated calcium response in a brain structure critical for behavior. Finally we used principal clock neurons in the brain (PDF+ l-LNv neurons) as a model to examine DopEcR’s role in modulating plasticity and neuronal structure. In our present work described in Chapter 2, we found that the D1-like receptor, DopR1, modulates sleep and activity independent of starvation while DopEcR plays a role in mediating starvation-induced sleep suppression and enhanced activity. We found that knocking down EGFR in a DopEcR mutant background restored starvation induced changes in behavior, suggesting that DopEcR normally suppresses EGFR signaling to suppress sleep under starvation. In Chapter 4, we show that the nicotine-induced Ca2+-response was selectively enhanced in the medial lobes either in DopEcR mutant or in flies with DopEcR selectively knocked down within the MBs. Using a pharmacological approach, we show that the endogenous ligands of DopEcR mediated two different responses in the MBs: the steroid ligand ecdysone enhances activity in the calyx and cell body region, whereas monoaminergic ligand dopamine reduced activity in the medial lobes. In Chapter 5, we find that reducing DopEcR in PDF neurons results in reduced basal levels of bouton numbers. The reduction in bouton number is independent of cAMP signaling but instead relies on inhibition of EGFR signaling. Signifying that DopEcR may modulate EGFR associated signaling to make changes in the in the brain. These results demonstrate that DopEcR is able to modulate neuronal excitability, physical structure of neurons and the behavior of the organism. Interestingly it also indicates that DopEcR’s different ligands, dopamine and ecdysone, may have unique and spatially distinct effects on different brain structures or within the same structure. Overall, this study provides a solid foundation for understanding the roles and action mechanisms of GPCR-mediated steroid signaling in regulation of neural development, physiology and behavior.

Complex cognitive functions require interactions within and between different brain regions by direct anatomical connections or synchronous activation. As such, damage to any region involved in a cognitive process has the potential to affect its function. Impulsivity is a multifaceted construct that, when dysfunctional, contributes to many psychiatric conditions. The striatum has been implicated as an integral part of the neural circuitry of impulsivity. The current work aims to contribute to the understanding of neural dysfunction underlying disorders of impulsivity by examining how striatal damage affects impulsive behavior. It also aims to improve our understanding of whether neural processes involved in impulsivity are also involved in maintaining awareness of one's thoughts and actions. No studies have systematically examined the extent to which damage to the striatum correlates with both changes in impulsive behavior and changes in self-awareness of impulsive personality. In the first experiment, I examined the effects of focal unilateral striatal damage on self-awareness of impulsivity and other personality traits. I predicted that participants with striatal damage (SD) would have less self-awareness of changes in impulsivity and other personality traits after brain damage, as compared to brain damage comparisons (BDC), due to indirect disruption of neural networks responsible for self-referential processing. I tested this prediction using self and collateral versions of the Barratt Impulsiveness scale (BIS) and the Iowa Scales of Personality Change. In partial support of my hypothesis, there were mean differences in self- and collateral-reported impulsivity on the BIS, with self ratings higher than collateral ratings in the SD group. There were no significant differences in the correlations between self- and collateral-reports for current impulsivity, change in impulsivity, or change in other personality traits. In the second experiment, I examined the effects of focal unilateral striatal damage on laboratory measures of impulsivity. I predicted that participants with striatal damage would exhibit lower levels impulsivity than brain damaged comparisons due to structural loss of regions involved in reward/motivation and motor activity. I tested this using impulsive action tasks (Go/NoGo and Stop Signal Tasks) and impulsive choice tasks (Delay and Probability Discounting). In contrast to my hypothesis, SD participants did not exhibit less impulsive action or impulsive choice than BDC participants. In the third experiment, I examined the effects of focal unilateral striatal damage on the integrity of frontostriatal resting state functional connectivity. I predicted that participants with striatal damage would exhibit alterations in functional connectivity between the remaining regions of the frontostriatal network. I tested this by comparing the strength of functional connectivity of the caudate head and ventromedial prefrontal cortex. While my hypothesis was not directly supported, the data showed interesting trends that warrant further exploration. These included stronger caudate-vmPFC resting state functional connectivity on the lesion side, and weaker functional connectivity on the non-lesioned side in striatal participants compared to brain damaged comparisons. Together, these experiments suggest that although unilateral striatal damage does not appear to affect subjective reports or laboratory measures of impulsivity, it may affect the underlying neural networks utilized by the striatum, as evidenced by changes in frontostriatal resting state functional connectivity. This work extends our understanding of the neurobiology of impulsive behavior and self-awareness, at systems level, and may help pave the way for treatments of those with brain injury, such as traumatic brain injury and stroke patients, or psychiatric disorders involving impulsivity.

My dissertation focused on understanding how different areas of the brain coordinate in networks to drive higher cognitive functions, and how damage, changes the brain’s synchronized activity (or functional connectivity) in the short and long term. In this dissertation, I studied the functional connectivity of brain networks that are thought to underlie emotion and decision-making, and how these networks change in the face of neurological injury. In my first set of experiments, I studied participants with chronic focal brain damage to determine how damage to brain areas which have been identified as important in emotion and decision-making behaviors (amygdala, ventromedial prefrontal cortex, & insula), affected connectivity of brain networks, and how changes in connectivity following damage to these areas related to emotion and decision-making behavior. Supporting my predictions, I found evidence that damage to the amygdala, ventromedial prefrontal cortex, and insula all result in significantly weaker connections between a network of areas important for assigning value to stimuli. Additionally, I found that stronger connectivity in this valuation network was significantly positively associated with performance on ratings of disgusted faces, while stronger connectivity in a network important for processing emotional salience was significantly positively correlated with decision-making performance. In the second set of studies in this dissertation, I utilized a population of epilepsy patients who were undergoing brain surgery to treat their seizures to investigate how a brain network related to emotional salience changed from before to after surgery. This approach allowed me to study how the connectivity and associated behavior of this network changed from preoperative baseline, to the weeks and months after part of this network was removed. While I expected a decline in this network in the weeks following surgery, instead I found a significant positive correlation between preoperative and acute postoperative connectivity in a subset of this network. However, my hypothesis that there would be a significant increase in the connectivity of this network between acute and chronic postoperative epochs was supported. I only have partial evidence for a significant correlation between the change in salience network connectivity between preoperative and acute postoperative assessments and the associated change in decision-making behavior. This correlation was in the opposite direction of my hypothesis, with increased change in connectivity being positively associated with change in risk-taking behavior. I did not observe a significant correlation between the change in network connectivity and change in behavior across acute and chronic measurements. These findings provide important insight on how measures of network connectivity can inform theories of neuroplasticity and reorganization following brain damage. Understanding how these networks change over time, and how changes in these networks relate to behavioral outcomes, are critical for the development and effective deployment of therapeutic interventions. Together, these studies provide a foundation for further study, demonstrating that these networks change over time with damage, and the residual network strength is associated with performance on measures of emotion and decision-making.