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Abstract #3906

Time-dependent diffusivity is sensitive to pathology in an Alzheimer’s disease mouse model: a multidimensional MRI pilot study

Pak Shing Kenneth Or1,2, Maxime Yon3, Omar Narvaez4, Alejandra Sierra4, Daniel Topgaard2, and Dan Benjamini1
1Multiscale Imaging and Integrative Biophysics Unit, National Institute on Aging, NIH, Baltimore, MD, United States, 2Physical Chemistry, Lund University, Lund, Sweden, 3Laboratoire Traitement du Signal et de l'Image, Rennes University, Rennes, France, 4A.I. Virtanen Institue for Molecular Sciences, University of Eastern Finland, Kupio, Finland

Synopsis

Keywords: Microstructure, biomarkers

Motivation: Earlier diagnosis of Alzheimer’s disease (AD) could significantly improve patient outcomes and enhance the effectiveness of treatment strategies, highlighting the need for advancements in early detection methods.

Goal(s): Derive novel imaging biomarkers from relaxation-diffusion multidimensional (MD) MRI to enable earlier diagnosis of AD.

Approach: The ex-vivo study collected MD-MRI data from eight mouse brains, euthanized at around eight months of age. The sample included four wild-type (WT) mice and four 5xFAD transgenic mice, a widely used AD model.

Results: Time-sensitive diffusion metrics revealed significant differences between AD and WT groups in gray matter, suggesting increased water diffusion restriction linked to AD pathology.

Impact: Our findings establish the reliability of diffusion-time dependent metrics and their sensitivity to AD pathology, supporting further large-scale studies to explore the potential of md-MRI for earlier AD diagnosis and improved prognostic outcomes.

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