Research Symposium

26th annual Undergraduate Research Symposium, April 1, 2026

Catherine Keegan Poster Session 2: 10:45 am - 11:45 am / Poster #105


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BIO


Kate is a second-year student at FSU majoring in Cell and Molecular Neuroscience. She is from Oviedo, FL and is currently on the pre-medical track. This is her first research experience as an undergraduate student and has enjoyed getting to be part of a research team and see how research can have real-world impacts.

Cognitive Skills Model for Predicting Alzheimer Disease

Authors: Catherine Keegan, Dr. Dorota Kossowska-Kuhn
Student Major: Cell and Molecular Neuroscience
Mentor: Dr. Dorota Kossowska-Kuhn
Mentor's Department: Psychology
Mentor's College: Arts and Sciences
Co-Presenters: Solangel Reyes, Isaac Reyes Bardales, Lily Sheehan

Abstract


Dementia is an ongoing health crisis that affects many older adults around the world. Mild Cognitive Impairment (MCI) is a pre-diagnosis for Dementia/Alzheimer's, with symptoms mirroring those with dementia, although milder. One indicator for MCI in older adults is spatial navigation, with the focus of this meta-data analysis being the differences in the cognitive function in spatial navigation between patients who had Mild Cognitive Behavior (MCI) and patients who were cognitively healthy (CH). Extraction of data used for this study included screening abstracts of articles focused on MCI, then full-text reviews of those articles, and finally in the most recent stage has included encoding of the data in the articles that passed the first two rounds of screening. As of writing this, our team has had 1,824 articles screened at the title/abstract stage and 1,020 articles for the full text review stage. This is the largest meta-data analysis study regarding cognitive skill constructs for people with MCI. This meta-data analysis aims to show the significance and relationship that cognitive skill constructs have on diagnosing MCI.

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Keywords: Alzheimer's, navigation, meta-data, analysis, cognitive