Barrett, The Honors College Thesis/Creative Project Collection
Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.
Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.
Inflammatory genes are known to only show in African Americans and non-Hispanic Whites. The objective of this study was to observe the correlation from the obtained data of the prevalence of the APOE ε4 genotype. We examined cerebral free-water, a marker of neuroinflammation, hippocampal volume, and volume of white-matter hyperintensities in African Americans (AA) and non-Hispanic Whites who were categorized in groups based on whether they had APOE ε4 allele or not. AA had lower prevalence of APOE e4 genotype than non-Hispanic Whites. AA groups have a slightly higher hippocampal volume compared to the Non-Hispanic White (NHW) groups. African Americans also reported increased white-matter hyperintensities and cerebral free-water. Hippocampal atrophy is associated with Alzheimer's disease, this might suggest that the AA groups have a lower risk of Alzheimer's, although further research is needed to confirm this relationship. Lastly, our findings also suggest other potential socioeconomic factors that could contribute to increased incidence of dementia among AA and potential resilience factors early in the course of Alzheimer’s disease process.
Objective: The purpose of this meta-analysis is to identify if one atypical antipsychotic (risperidone, aripiprazole, olanzapine, clozapine, quetiapine) is more effective in treating behavioral and psychological symptoms of dementia (BPSD). The secondary aim is to identify a difference in dosage between the atypical antipsychotics when used to treat BPSD. Methods: Articles regarding atypical antipsychotics and BPSD were located on the Arizona State University Library website and Google Scholar. A total of 13 studies were included in analyses. The mean difference of the measurement of BPSD from baseline to end of study were extracted from the studies, converted to z-scores using standard error, and the average was found for each medication and placebo groups. Data on dosage was also collected and the total mg of medication for an average participant was calculated based on type of medication. Two ANOVAs were conducted: one to identify a significant difference between the average effect of each medication on BPSD and another to identify a significant difference between the level of dosage given on average for each medication. Results: These analyses indicated that there was no significant difference between individual atypical antipsychotics or placebo (F(5,19) = 0.254, p = 0.932). There was a significant difference in level of dosage with quetiapine having a significantly higher dosage on average than every other medication (F(4,12) = 18.49, p = 0.0000456). Conclusions: There is a lack of evidence that supports the use of atypical antipsychotics for the treatment of BPSD, however, future research that focuses on lower doses of these medications and interactions with psychotherapy may prove beneficial.
This paper describes a project involving the optimization of the analysis process of FreeSurfer and ANTS Registration for neuroscience analytics of patients at risk of cognitive decline using Nipype. The paper details the process of discovering more about Nipype, learning to use a supercomputer, and implementing the open-source python code to fit the needs of the research lab. Nipype is a python-based initiative to unify the various software packages used within the neuroscience community for data analysis. This paper also serves as documentation of the steps taken to complete the project so that future students are able to continue the optimization process to result in one cohesive workflow in which data is able to flow through a unified pipeline of analysis in the future.
In this thesis, the relationship between digital and clinical motor tests will be examined. These tests will be performed on adults of older age (~66 years). Most participants are those who are concerned about developing, or already have, a neurodegenerative disease such as Alzheimer’s and Parkinson’s. The digital test that is given and evaluated is Neurotrax. Clinical motor tasks being administered include the Purdue Pegboard, Box & Blocks, Grip Strength, and Pincer Grip. Correlations between motor skills from NeuoTrax and each clinical task were calculated and analyzed. Statistical analysis of this data was done with Excel Data Analysis Toolpak. Means and standard errors were also calculated. Results indicated that Pincer Grip Strength (N) and Color Trails (%) had strong correlations with NeuroTrax Motor Skills, with correlation coefficients of 0.562 and -0.510, respectively. These associations between the NeuroTrax Motor skills assessment and clinical motor tasks may suggest that executive function and grip strength are mostly represented as motor skill domain in digital tests. Future work should examine other motor domains such as dexterity, variability, timing, and muscular efficiency aspects of digital motor assessments.