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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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What lies beneath? Diffusion EAP-based study of brain tissue microstructure.

Mauro Zucchelli1, Lorenza Brusini1, C Andrés Méndez1

  • 1Department of Computer Science, University of Verona, Verona, Italy.

Medical Image Analysis
|April 18, 2016
PubMed
Summary
This summary is machine-generated.

Diffusion MRI models reveal tissue microstructure. Ensemble average propagator (EAP) indices, derived from 3D-SHORE, correlate with microstructural configurations, offering insights into cellular compartments.

Keywords:
3D-SHOREDSIDiffusion MRIEAPMicrostructureNODDI

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Area of Science:

  • Diffusion Magnetic Resonance Imaging (DMRI)
  • Neuroimaging
  • Biophysics

Background:

  • Diffusion weighted magnetic resonance signals provide insights into tissue microstructure.
  • Reconstruction models in DMRI include ensemble average propagator (EAP) and compartmental models.
  • EAP-derived indices' relationship with microstructural configurations requires further clarification.

Purpose of the Study:

  • To analyze EAP indices derived from the 3D-SHORE model.
  • To estimate changes in EAP indices with principal microstructural configurations.
  • To correlate EAP indices with microstructural parameters from the Neurite Orientation Dispersion and Density Imaging (NODDI) model.

Main Methods:

  • Utilized state-of-the-art simulations to quantify EAP index variations.
  • Analyzed in-vivo DMRI data.
  • Correlated 3D-SHORE derived EAP indices with NODDI-derived microstructural parameters.

Main Results:

  • EAP indices derived from 3D-SHORE demonstrate sensitivity to microstructural configurations.
  • Simulations quantified index variations with model parameters.
  • In-vivo analysis showed EAP indices reflect cellular compartment configurations.

Conclusions:

  • EAP-derived indices from 3D-SHORE effectively convey information about tissue microstructure.
  • Combined EAP indices directly reflect the configuration of cellular compartments within voxels.
  • This study validates EAP indices as valuable descriptors of microstructural architecture.