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Abstract #4209

Adiabatic T1ρ and MB-SWIFT resting-state fMRI for Monitoring Alzheimer’s Disease Progression in TGF344 Rats

Lin Wu1, Sara Ponticorvo1, Dee Koski1, Djaudat Idiyatullin1, Walter C Low2, Gregory J Metzger1, Silvia Mangia1, and Shalom Michaeli1
1CMRR, University of Minnesota, Minneapolis, MN, United States, 2Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States

Synopsis

Keywords: Alzheimer's Disease, Relaxometry, T1ρ

Motivation: Alzheimer’s disease (AD) poses challenges in early diagnosis and intervention.

Goal(s): To explore novel MRI techniques for detecting early progression of AD.

Approach: Standard T1, adiabatic T1ρ and functional connectivity were measured in TGF344 rats and wild-type rats at 6-months and 12-months to evaluate brain microstructural and functional metrics over time.

Results: Significant group differences in T1ρ were observed in medial entorhinal and postrhinal cortices at 6-months, indicating early microstructural alterations. No group-differences were seen in T1 or at 12-months. Resting-state fMRI revealed different evolutions in connectivity over time across groups, suggesting functional reorganization associated with the disease.


Impact: These findings highlight the potential of adiabatic T1ρ and resting-state fMRI as valuable tools in evaluating Alzheimer’s disease progression, paving the way for future research focused on early diagnosis and intervention strategies.

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Keywords