Alzheimer's Disease (AD) is a neurodegenerative process characterized by the accumulation of amyloid-β (Aβ) and tau (τ) proteins leading to neurodegeneration. It has been hypothesizes that the aggregation of these proteins could spread through specific white matter (WM) pathways. To investigate such hypothesis, convolutional neural networks were employed to analyze microstructural alterations induced by the accumulation of Aβ and τ proteins via two classification tasks, relying on mean diffusivity (MD) and fractional anisotropy (FA), achieving competitive performance. A post-hoc analysis via integrated gradients revealed that the splenium of the corpus callosum played a prominent role for both indices, while index-specific were the ventricles and subcortical regions for MD and the corticospinal tract for FA. This supports the assumption that WM pathways might play a key role in misfolded protein distribution and highlights the potential of diffusion imaging for the identification of Aβ and τ proteins spread and accumulation.

Diffusion MRI Allows Capturing the Amyloid-β and τ Proteins Status in Alzheimer’s Disease Continuum

Dolci, Giorgio;Cruciani, Federica;Brusini, Lorenza;Galazzo, Ilaria Boscolo;Menegaz, Gloria
2024-01-01

Abstract

Alzheimer's Disease (AD) is a neurodegenerative process characterized by the accumulation of amyloid-β (Aβ) and tau (τ) proteins leading to neurodegeneration. It has been hypothesizes that the aggregation of these proteins could spread through specific white matter (WM) pathways. To investigate such hypothesis, convolutional neural networks were employed to analyze microstructural alterations induced by the accumulation of Aβ and τ proteins via two classification tasks, relying on mean diffusivity (MD) and fractional anisotropy (FA), achieving competitive performance. A post-hoc analysis via integrated gradients revealed that the splenium of the corpus callosum played a prominent role for both indices, while index-specific were the ventricles and subcortical regions for MD and the corticospinal tract for FA. This supports the assumption that WM pathways might play a key role in misfolded protein distribution and highlights the potential of diffusion imaging for the identification of Aβ and τ proteins spread and accumulation.
2024
Inglese
21st IEEE International Symposium on Biomedical Imaging
Athens
27 May 2024 through 30 May 2024
Proceedings - International Symposium on Biomedical Imaging
1
5
5
Convolutional Neural Network
Integrated Gradient
Post-hoc Analysis
none
Dolci, Giorgio; Cruciani, Federica; Brusini, Lorenza; Pini, Lorenzo; Galazzo, Ilaria Boscolo; Calhoun, Vince D.; Menegaz, Gloria
7
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1137326
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