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Abstract #4109

Modeling structural and functional connectomics with proteomics in a preclinical model of tauopathy

Elizabeth Hipskind1, Lindsay Fadel1, Caitlyn Ortiz2, Katherine Nelson2, Steen Pedersen2, Md. Abul Hassan Samee2, and Robia Pautler2
1Neuroscience, Baylor College of Medicine, Houston, TX, United States, 2Integrative Physiology, Baylor College of Medicine, Houston, TX, United States

Synopsis

Keywords: Small Animals, Alzheimer's Disease, resting state fMRI, functional connectivity, tau

Motivation: Identifying neurological changes in Alzheimer’s Disease (AD) is critical for early intervention. Tau accumulation is a key pathological feature in AD and other neurodegenerative diseases.

Goal(s): This project investigates how tau accumulation impacts structural and functional connectivity in the brain and cognitive decline.

Approach: We use behavioral assessments of learning and memory in the rTg4510 mouse model of tauopathy with awake resting-state fMRI and diffusion tensor imaging at three timepoints during the course of tau accumulation.

Results: As tau accumulates, we identify patterns of functional connectivity changes. We plan to use machine learning to link these changes to cognitive decline.

Impact: We study how tau accumulation affects brain functional connectivity and cognitive decline in a mouse model of tauopathy. Magnetic resonance imaging may offer non-invasive tools for assessing Alzheimer's Disease pathology, potentially aiding in early diagnosis.

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Keywords