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Full-Text Articles in Physical Sciences and Mathematics
A Machine Learning Exploration Of Human Connectome Data, Katrina Prantzalos
A Machine Learning Exploration Of Human Connectome Data, Katrina Prantzalos
Senior Honors Theses and Projects
The intent of this project is to statistically examine the relationships between psychological traits, demographics, and physiological information provided by various brain scans. The Human Connectome Project dataset includes brain imaging data, demographics, and psychological data, from 1,206 individuals. Using this data, we performed exploratory data analysis, including an investigation of the distinctions in connectome data across participants with anxiety and/or depression as opposed to those without. Our aim was to predict the two mental disorders from given data via machine learning techniques such as Random Forest and Boosted Trees methods. Unfortunately, we were unable to reasonably predict anxiety or …
Understanding The Interface That Enables The Interaction Between Two Dopamine Receptor Subtypes Known As D1 And D2 Implicated In Depression, Adam Baraka
Senior Honors Theses and Projects
The dopamine receptor subtypes known as DI and D2 have been shown to form a heteromer complex, which is thought to lead to the disruption of a multitude of signaling pathways within the brain. As a result, this has been proposed to lead to diseased states such as Alzheimer's and depression. In previous studies, it has been shown that the use of synthetic peptides corresponding to the surface interface of the interactions (specifically in the third intracellular loop of D2 interface) within the complex have served to compete against the formation of the heteromer. Through in vitro biochemical techniques such …