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- All Subjects: Health
- Creators: Department of Psychology
- Resource Type: Text
- Status: Published
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
Obesity has become a major area of research in many fields due to the increasing obesity rate not only in The United States, but also around the world. Research concerning obesity stigma has both physical and mental health implications. Weight bias and obesity stigma represent important research areas for health professionals as they confront these issues on a daily basis in interactions with their patients. To explore how gender, ethnicity, and a person's own BMI affect the stigma of certain weight related terms, a set of 264 participant's surveys on weight related situations on the campus of Arizona State University were analyzed. Using univariate analysis to determine frequency of words deemed most or least acceptable as well as independent t-test for gender and ANOVA for ethnicity and own BMI, we found that participant's view more clinical terms such as "unhealthy BMI" and "BMI" as acceptable words for use during a physician-patient interaction. Analysis across genders revealed the highest number of differences in terms, with females generally ranking terms across the board as less acceptable then men. Differences varied little between ethnicities; however, own BMI revealed more differences between terms; underweight participants did not rank any terms as positive. We analyzed average ATOP (Attitudes Toward Obese People) scores and found that there was no significant difference in average ATOP scores between gender and a participant's own BMI, but a statistical significance did exist between ethnic categories. This study showed that the term "obese/obesity", although normally considered to be a clinical term by many was not ranked as very positive across gender, ethnicity, or own BMI. Based on these findings, new material should be created to inform physicians on how to talk about weight related problems with certain populations of patients.
ContributorsBlasco, Drew Adair (Author) / Wutich, Amber (Thesis director) / Brewis Slade, Alexandra (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / Department of Psychology (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2014-12
Does assisted cycle therapy influence activities of daily living in older adults with Down syndrome?
Description
The aim of this study is to examine the relationship between Assisted Cycle Therapy, leisure time activity levels, fine motor control, and grip force in older adults with Down syndrome (DS), all of which affect activities of daily living (ADL) and therefore quality of life. This is relevant because this particular group is at risk for developing early onset Alzheimer's disease (AD), which presents itself uniquely in this population. The parent or guardian of six participants with DS completed Godin's Leisure Time Exercise Questionnaire and the participants themselves completed Purdue Pegboard and grip force assessments before and after an 8-week exercise intervention. The results were inconsistent with past research, with no change being seen in fine motor control or grip force and a decrease being seen in leisure activity. These findings are indicative of the importance of the effect of fatigue on leisure activity as well as maintaining elevated heart rate throughout exercise interventions.
ContributorsGomez, Elizabeth Danielle (Author) / Ringenbach, Shannon (Thesis director) / Coon, David (Committee member) / Barrett, The Honors College (Contributor) / T. Denny Sanford School of Social and Family Dynamics (Contributor) / Department of Psychology (Contributor)
Created2015-05
Description
Regional and geographical differences may explain variability in menopausal symptom occurrence due to development of climate-specific thermoneutral zones leading to population-specific hot flash frequencies. Limited information available regarding menopausal symptoms in underserved women living in extreme heat.
Understanding the perception of menopausal symptoms in underserved women living in extreme heat regions to identify if heat impacts perception of menopausal symptoms was the objective of this study. Women in free, low-income, and homeless clinics in Phoenix were surveyed during summer and winter months using a self-administered, written questionnaire including demographic, climate and menopause related questions, including the Green Climacteric Scale (GCS).
A total of 139 predominantly Hispanic (56 %), uninsured (53 %), menopausal (56 %), mid-aged (mean 49.9, SD 10.3) women were surveyed— 36% were homeless or in shelters. Most women were not on menopausal hormone therapy (98 %). Twenty-two percent reported hot flashes and 26% night sweats. Twenty-five percent of women reported previously becoming ill from heat. More women thought season influenced menopausal symptoms during summer than winter (41 % vs. 14 %, p = 0.0009). However, majority of women did not think temperature outside influenced their menopausal symptoms and that did not differ by season (73 % in winter vs. 60% in summer, p=0.1094). No statistically significant differences seen for vasomotor symptoms between winter and summer months.
Regional and geographical differences may be key in understanding the variability in menopausal symptoms. Regardless of season, the menopausal, underserved and homeless women living in Arizona reported few vasomotor symptoms. In the summer, they were more likely to report that the season influenced their menopausal symptoms rather than temperature suggesting an influence of the season on symptom perception.
ContributorsMukarram, Mahnoor (Author) / Hondula, David M. (Thesis director) / Kling, Juliana (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This case study analyzed the internal controls of a real estate company using the widely accepted COSO framework. Testing of the internal environment and controls was completed using the COSO framework. The major internal control problem identified in the study was a lack of ethical standards in the control environment. In addition to this main problem, inadequate documentation, no separation of duties, and unqualified employees were also identified as violations of effective internal controls. The department of real estate ordered a "cease and desist" on August 8, 2013 due to illegal company activities. The company participated in illegal actions regarding: the trust account and company documentation and procedures. Material weaknesses were found in the company's internal controls; therefore the result of this study was an adverse opinion on internal controls.
ContributorsFrederick, Nicole Lorraine (Author) / Munshi, Perseus (Thesis director) / Benali, Kayla (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Psychology (Contributor)
Created2013-12
Description
This paper takes a look at developing a technological start up revolving around the world of health and fitness. The entire process is documented, starting from the ideation phase, and continuing on to product testing and market research. The research done focuses on identifying a target market for a 24/7 fitness service that connects clients with personal trainers. It is a good study on the steps needed in creating a business, and serves as a learning tool for how to bring a product to market.
ContributorsHeck, Kyle (Co-author) / Mitchell, Jake (Co-author) / Korczynski, Brian (Co-author) / Peck, Sidnee (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor) / Department of Management (Contributor) / Department of Psychology (Contributor) / Department of Supply Chain Management (Contributor) / School of Accountancy (Contributor) / W. P. Carey School of Business (Contributor)
Created2014-05
Description
Telemedicine is a multipurpose tool that allows medical professionals to use technology as a means to evaluate, diagnose, and treat patients remotely. This paper focuses on the challenges that developing telemedicine programs face, specifically discussing target population, user experience, and physician adoption. Various users of telemedicine share their experiences overcoming such challenges with the greater goal of this paper being to facilitate the growth of telemedicine programs.
ContributorsPalakodaty, Shivani Venkatasri (Author) / Liss, Julie (Thesis director) / Berisha, Visar (Committee member) / School of International Letters and Cultures (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Cognitive technology has been at the forefront of the minds of many technology, government, and business leaders, because of its potential to completely revolutionize their fields. Furthermore, individuals in financial statement auditor roles are especially focused on the impact of cognitive technology because of its potential to eliminate many of the tedious, repetitive tasks involved in their profession. Adopting new technologies that can autonomously collect more data from a broader range of sources, turn the data into business intelligence, and even make decisions based on that data begs the question of whether human roles in accounting will be completely replaced. A partial answer: If the ramifications of past technological advances are any indicator, cognitive technology will replace some human audit operations and grow some new and higher order roles for humans. It will shift the focus of accounting professionals to more complex judgment and analysis.
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
ContributorsWitkop, David (Author) / Dawson, Gregory (Thesis director) / Munshi, Perseus (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
The nuclear pore complex is a structure that is found in the nuclear envelope. The nuclear pore complex is made of proteins known as nucleoporins, or Nups. There are many classes of Nups, one of which is Nups with phenylalanine-guanine repeats (FG-Nups). The FG-Nups help control the transport of material through the nuclear pore complex. One type of FG-Nup is NupL2. Previous mRNA data have shown that there is lower expression of NupL2 in Alzheimer's Disease brains than there is in control brains. However, these data are specific to mRNA expression, and do not necessarily extend to NupL2 protein levels. This study focuses on NupL2 levels in non-diseased samples and Alzheimer's Disease samples. Immunohistochemistry (IHC) with 3,3'-diaminobenzidine was performed on temporal neo-cortical brain tissue. Western blots were also performed to quantify the protein levels in non-diseased samples and Alzheimer's Disease samples, and were completed using middle temporal gyrus lysates. The IHC results show that there is more NupL2 protein expression in non-diseased samples than there is in Alzheimer's Disease samples. Likewise, the western blot data show higher NupL2 protein levels in non-diseased samples than in Alzheimer's Disease samples. Both the IHC data and the western blot data indicate that there are higher NupL2 expression levels in non-diseased samples than in Alzheimer's Disease samples. Decreased NupL2 expression in Alzheimer's Disease may indicate that it is not functioning properly. This could lead to the leaking of material between the nucleoplasm and the cytoplasm, which may in turn contribute to Alzheimer's Disease pathogenesis.
ContributorsKulkarni, Neha Uday (Author) / Coleman, Paul (Thesis director) / Mastroeni, Diego (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
With no known cure, Alzheimer's disease (AD) is the most common dementia, affecting more than 5.5 million Americans. Research has shown that women who undergo surgical menopause (i.e. removal of the ovaries) before the onset of natural menopause are at a greater risk for AD. It is hypothesized that this greater relative risk of developing AD is linked to ovarian hormone deprivation associated with surgical menopause. The purpose of these studies was to evaluate the behavioral changes that occur after a short-term (ST) and a long-term (LT) ovarian hormone deprivation in a mouse model of AD. Wildtype (Wt) or APP/PS1 (Tg) mutation mice underwent either a sham surgery or an ovariectomy (Ovx) surgery at three months of age. Study 1 consisted of a short-term cohort that was behaviorally tested one month following surgery on a battery of spatial memory tasks including, the Morris water maze, delayed matched-to-sample water maze, and visible platform task. Study 2 consisted of a long-term cohort that was behaviorally tested on the same cognitive battery three months following surgery. Results of Study 1 revealed that genotype interacted with surgical menopause status, such that after a short-term ovarian hormone deprivation, Ovx induced a genotype effect while Sham surgery did not. Results of Study 2 showed a similar pattern of effects, with a comparable interaction between genotypes and surgical menopause status. These findings indicate that the cognitive impact of ovarian hormone deprivation depends on AD-related genotype. Neuropathology evaluations in these mice will be done in the near future and will allow us to test relations between surgical menopause status, cognition, and AD-like neuropathology.
ContributorsPalmer, Justin M. (Author) / Bimonte-Nelson, Heather (Thesis director) / Oddo, Salvatore (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12