Theses and Dissertations
This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students.
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- Creators: School of Life Sciences
Description
Background: Noninvasive MRI methods that can accurately detect subtle brain changes are highly desirable when studying disease-modifying interventions. Texture analysis is a novel imaging technique which utilizes the extraction of a large number of image features with high specificity and predictive power. In this investigation, we use texture analysis to assess and classify age-related changes in the right and left hippocampal regions, the areas known to show some of the earliest change in Alzheimer's disease (AD). Apolipoprotein E (APOE)'s e4 allele confers an increased risk for AD, so studying differences in APOE e4 carriers may help to ascertain subtle brain changes before there has been an obvious change in behavior. We examined texture analysis measures that predict age-related changes, which reflect atrophy in a group of cognitively normal individuals. We hypothesized that the APOE e4 carriers would exhibit significant age-related differences in texture features compared to non-carriers, so that the predictive texture features hold promise for early assessment of AD. Methods: 120 normal adults between the ages of 32 and 90 were recruited for this neuroimaging study from a larger parent study at Mayo Clinic Arizona studying longitudinal cognitive functioning (Caselli et al., 2009). As part of the parent study, the participants were genotyped for APOE genetic polymorphisms and received comprehensive cognitive testing every two years, on average. Neuroimaging was done at Barrow Neurological Institute and a 3D T1-weighted magnetic resonance image was obtained during scanning that allowed for subsequent texture analysis processing. Voxel-based features of the appearance, structure, and arrangement of these regions of interest were extracted utilizing the Mayo Clinic Python Texture Analysis Pipeline (pyTAP). Algorithms applied in feature extraction included Grey-Level Co-Occurrence Matrix (GLCM), Gabor Filter Banks (GFB), Local Binary Patterns (LBP), Discrete Orthogonal Stockwell Transform (DOST), and Laplacian-of-Gaussian Histograms (LoGH). Principal component (PC) analysis was used to reduce the dimensionality of the algorithmically selected features to 13 PCs. A stepwise forward regression model was used to determine the effect of APOE status (APOE e4 carriers vs. noncarriers), and the texture feature principal components on age (as a continuous variable). After identification of 5 significant predictors of age in the model, the individual feature coefficients of those principal components were examined to determine which features contributed most significantly to the prediction of an aging brain. Results: 70 texture features were extracted for the two regions of interest in each participant's scan. The texture features were coded as 70 initial components andwere rotated to generate 13 principal components (PC) that contributed 75% of the variance in the dataset by scree plot analysis. The forward stepwise regression model used in this exploratory study significantly predicted age, accounting for approximately 40% of the variance in the data. The regression model revealed 5 significant regressors (2 right PC's, APOE status, and 2 left PC by APOE interactions). Finally, the specific texture features that contributed to each significant PCs were identified. Conclusion: Analysis of image texture features resulted in a statistical model that was able to detect subtle changes in brain integrity associated with age in a group of participants who are cognitively normal, but have an increased risk of developing AD based on the presence of the APOE e4 phenotype. This is an important finding, given that detecting subtle changes in regions vulnerable to the effects of AD in patients could allow certain texture features to serve as noninvasive, sensitive biomarkers predictive of AD. Even with only a small number of patients, the ability for us to determine sensitive imaging biomarkers could facilitate great improvement in speed of detection and effectiveness of AD interventions..
ContributorsSilva, Annelise Michelle (Author) / Baxter, Leslie (Thesis director) / McBeath, Michael (Committee member) / Presson, Clark (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Cardiovascular disease is the leading cause of death in the United States, and classic risk factors only predict half of the variance of cases. In this study, parental overprotection and temperamental negative affectivity both significantly correlated with blood pressure and heart rate, which suggests the importance of examining early life factors when determining one's risk for CVD.
ContributorsCarter, Steven Cross (Author) / Luecken, Linda (Thesis director) / Presson, Clark (Committee member) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor)
Created2013-05
Description
The first step in providing adequate prevention of children’s behavior problems is identifying possible predictors. There is an established relation between parenting style and behaviors and children’s future outcomes, including risk of externalizing behavior problems, but the mechanisms that may explain this relation are unclear. The current study investigated whether child executive functioning plays a mediating role between parenting style and externalizing behavior problems. I hypothesized that parenting style, specifically harsh authoritarian parenting, would predict a decrease in child executive performance, then leading to increased child behavior problems. Additionally, sex differences within this model were examined. Parenting styles and child externalizing behavior problems were measured through mother’s self-report within a sample of 322 low-income, Mexican-American mother child dyads in the Phoenix metropolitan area. A mediation model was performed, including relevant covariates, to test for significance of the mediated pathway. The results of the current study indicated that authoritarian parenting style significantly predicted greater externalizing behavior problems in the sample, but only for girls. Interestingly, it was also found that the addition of biological siblings predicted less behavior problems, again only for girls. These results promote understanding of the influences on behavior problems in children that can escalate to delinquency and criminal behavior. This information is critical for the development and improvement of strategic interventions.
ContributorsPerry, Beth Madison (Author) / Luecken, Linda (Thesis director) / Presson, Clark (Committee member) / van Huisstede, Lauren (Committee member) / School of Life Sciences (Contributor, Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Previous research demonstrated the overall efficacy of an embodied language intervention (EMBRACE) that taught pre-school children how to simulate (imagine) language in a heard narrative. However, EMBRACE was not effective for every child. To try to explain this variable response to the intervention, the video recordings made during the four-day intervention sessions were assessed and emotion was coded. Each session was emotion-coded for child emotions and for child-researcher emotions. The child specific emotions were 1) engagement in the task, this included level of participation in the activity, 2) motivation/attention to persist and complete the task, as well as stay focused, and 3) positive affect throughout the session. The child-researcher specific emotions were 1) engagement with each other, this involved how the child interacted with the researcher and under what context, and 2) researcher’s positive affect, this incorporated how enthusiastic and encouraging the researcher was throughout the session. It was hypothesized that effectiveness of the intervention would be directly correlated with the degree that the child displayed positive emotions during the intervention. Thus, the analysis of these emotions should highlight differences between the control and EMBRACE group and help to explain variability in effectiveness of the intervention. The results did indicate that children in the EMBRACE group generally had a significantly higher positive affect compared to the control group, but these results did not influence the ability for the child to effectively recall or moderate the EEG variables in the post-test. The results also showed that children who interacted with the researcher more tended to be in the EMBRACE group, whereas children who did not interact with the researcher more frequently were in the control group, showing that the EMBRACE intervention ended up being a more collaborative task.
ContributorsOtt, Lauren Ruth (Author) / Glenberg, Arthur (Thesis director) / Presson, Clark (Committee member) / Kupfer, Anne (Committee member) / School of Life Sciences (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
There are currently no disease-modifying treatments to halt or attenuate the progression of Alzheimer’s disease (AD). Transgenic rodent models have provided researchers the ability to recapitulate particular pathological and symptomological events in disease progression. Complete reproduction of all features of AD in a rodent model has not been achieved, potentially lending to the inconclusive treatment results at the clinical level. Recently, the TgF344-AD transgenic rat model has started to be evaluated; however, it has not been well characterized in terms of its cognition, which is fundamental to understanding the trajectory of aging relative to pathology and learning and memory changes. Therefore, the aim of the current study was to identify cognitive outcomes at 6, 9, and 12 months of age in the TgF344-AD rat model. Sixty female transgenic (Tg) and wildtype (WT) rats were tested on the water radial arm maze, Morris water maze, and visible platform task to evaluate cognition. Results from the asymptotic phase of the water radial arm maze showed that the 6 mo-Tg animals had marginally impaired working memory compared to 6 mo-WT rats, and 12 mo-Tg rats had significantly impaired working memory compared to 12 mo-WT rats. The 9 mo-Tg animals did not demonstrate a significant difference in working memory errors compared to the 9 mo-WT animals. This pattern of impairment, wherein Tg animals made more working memory errors compared to WT animals at the 6 and 12 month time points, but not at the 9 month time point, may be indicative of an inflammatory response that proves helpful at incipient stages of disease progression but eventually leads to further cognitive impairment. These results provide insight into the potential earliest time point that prodromal cognitive symptoms of AD exist, and how they progress with aging. Brain tissue was collected at sacrifice for future analyses of pathology, which will be used to glean insight into the temporal progression of pathological and cognitive outcomes.
ContributorsBulen, Haidyn Leigh (Co-author) / Bulen, Haidyn (Co-author) / Bimonte-Nelson, Heather (Thesis director) / Presson, Clark (Committee member) / Conrad, Cheryl (Committee member) / Woner, Victoria (Committee member) / Peña, Veronica (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05