Research Symposium

BIO

Lily Sheehan is an undergraduate student at Florida State University, from West Palm Beach and is pursuing a Bachelor of Science in Human Development and Family Sciences on the pre-med track. She is interested in pursuing a career in medicine and is passionate about supporting aging populations and individuals with cognitive disorders. At FSU, Lily assists with research related to cognitive health and neurological conditions.

In addition to her research experience, Lily also works as a Patient Care Technician and volunteers with older adults living with dementia. Through these experiences, she hopes to continue developing the skills necessary to become a knowledgeable and patient-centered physician.

COGNITIVE SKILLS MODEL FOR PREDICTING ALZHEIMER’S DISEASE

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 screened 1,824 articles at the title/abstract stage and 1,020 articles for the full text review stage. This is the largest meta-data analysis study for spatial navigation for people with MCI. This meta-data analysis aims to show the significance and relationship that cognitive skills related to spatial navigation have on diagnosing MCI.

Keywords: Alzheimer's, Cognitive, Memory