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Abstract #3898

Detecting dendritic spine density with double diffusion encoding magnetic resonance spectroscopy

Maëliss Jallais1,2, Sophie Malaquin3, Kadir Simsek1,2, Julien Valette3, and Marco Palombo1,2
1Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, United Kingdom, 2School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom, 3Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Centre National de la Recherche Scientifique (CNRS), Molecular Imaging Research Center (MIRCen), Laboratoire des Maladies Neurodégénératives, Fontenay aux Roses, France

Synopsis

Keywords: Microstructure, Microstructure

Motivation: Studies shown that single diffusion encoding measurements of metabolites diffusion may be sensitive to dendritic spines, while Double Diffusion Encoding (DDE) increases sensitivity to microstructure features like dendritic length.

Goal(s): Investigate whether DDE measurements can be sensitive to spine density and used to map it in-vivo.

Approach: Simulated DDE signals from models of spiny dendrites were used to train an artificial neural network to predict spine density from DDE signals.

Results: Spine density estimated from in-vivo data in mice expressing amyloid precursor protein match the known ~50% decrease in spine density from this animal model.

Impact: Using numerical simulations and in-vivo mouse experiments we showed that DDE-MRS may be a promising non-invasive method for estimating dendritic spine density in-vivo, providing a new avenue for in-vivo studies of healthy and pathological brain gray matter microstructure.

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