4.7 Article

High-resolution cortical MAP-MRI reveals areal borders and laminar substructures observed with histological staining

Journal

NEUROIMAGE
Volume 264, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2022.119653

Keywords

MAP-MRI; Cortical layers; Diffusion propagator; Cytoarchitecture; Histological correlations; Cortical parcellation; Diffusion anisotropy

Funding

  1. Intramural Research Program (IRP) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development
  2. NIH BRAIN Initiative [1U01EB026996-01]
  3. CNRM Neuroradiology/Neuropathology Correlation/Integration Core [309698-4.01-65310, CNRM-89-9921]

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This study explores the sensitivity of high-resolution MAP-MRI method in detecting variations in cortical cytoarchitecture. The results show that MAP-MRI can non-invasively assess cortical cell tissue features and are in agreement with histological observations. This method has potential clinical applications for studying cortical organization, early diagnosis of neurodegenerative diseases, etc.
The variations in cellular composition and tissue architecture measured with histology provide the biological basis for partitioning the brain into distinct cytoarchitectonic areas and for characterizing neuropathological tissue alterations. Clearly, there is an urgent need to develop whole-brain neuroradiological methods that can assess cortical cyto-and myeloarchitectonic features non-invasively. Mean apparent propagator (MAP) MRI is a clinically feasible diffusion MRI method that quantifies efficiently and comprehensively the net microscopic displacements of water molecules diffusing in tissues. We investigate the sensitivity of high-resolution MAP-MRI to detecting areal and laminar variations in cortical cytoarchitecture and compare our results with observations from corresponding histological sections in the entire brain of a rhesus macaque monkey. High-resolution im-ages of MAP-derived parameters, in particular the propagator anisotropy (PA), non-gaussianity ( NG ), and the return-to-axis probability (RTAP) reveal cortical area-specific lamination patterns in good agreement with the corresponding histological stained sections. In a few regions, the MAP parameters provide superior contrast to the five histological stains used in this study, delineating more clearly boundaries and transition regions between cortical areas and laminar substructures. Throughout the cortex, various MAP parameters can be used to delin-eate transition regions between specific cortical areas observed with histology and to refine areal boundaries estimated using atlas registration-based cortical parcellation. Using surface-based analysis of MAP parameters we quantify the cortical depth dependence of diffusion propagators in multiple regions-of-interest in a consistent and rigorous manner that is largely independent of the cortical folding geometry. The ability to assess cortical cytoarchitectonic features efficiently and non-invasively, its clinical feasibility, and translatability make high -resolution MAP-MRI a promising 3D imaging tool for studying whole-brain cortical organization, characterizing abnormal cortical development, improving early diagnosis of neurodegenerative diseases, identifying targets for biopsies, and complementing neuropathological investigations.

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