Print Email Facebook Twitter Using light and X-ray scattering to untangle complex neuronal orientations and validate diffusion MRI Title Using light and X-ray scattering to untangle complex neuronal orientations and validate diffusion MRI Author Menzel, Miriam (TU Delft ImPhys/Menzel group; Forschungszentrum Jülich GmbH) Gräßel, David (Forschungszentrum Jülich GmbH) Rajkovic, Ivan (SLAC National Accelerator Laboratory) Zeineh, Michael M. (Stanford University School of Medicine) Georgiadis, Marios (Stanford University School of Medicine) Date 2023 Abstract Disentangling human brain connectivity requires an accurate description of nerve fiber trajectories, unveiled via detailed mapping of axonal orientations. However, this is challenging because axons can cross one another on a micrometer scale. Diffusion magnetic resonance imaging (dMRI) can be used to infer axonal connectivity because it is sensitive to axonal alignment, but it has limited spatial resolution and specificity. Scattered light imaging (SLI) and small-angle X-ray scattering (SAXS) reveal axonal orientations with microscopic resolution and high specificity, respectivelyHere, we apply both scattering techniques on the same samples and cross-validate them, laying the groundwork for ground-truth axonal orientation imaging and validating dMRI. We evaluate brain regions that include unidirectional and crossing fibers in human and vervet monkey brain sections. SLI and SAXS quantitatively agree regarding in-plane fiber orientations including crossings, while dMRI agrees in the majority of voxels with small discrepancies. We further use SAXS and dMRI to confirm theoretical predictions regarding SLI determination of through-plane fiber orientations. Scattered light and X-ray imaging can provide quantitative micrometer 3D fiber orientations with high resolution and specificity, facilitating detailed investigations of complex fiber architecture in the animal and human brain. Subject OA-Fund TU Delft To reference this document use: http://resolver.tudelft.nl/uuid:1e670d32-56e9-44b6-ae6b-e8990dc773b8 DOI https://doi.org/10.7554/eLife.84024 ISSN 2050-084X Source eLife, 12 Part of collection Institutional Repository Document type journal article Rights © 2023 Miriam Menzel, David Gräßel, Ivan Rajkovic, Michael M. Zeineh, Marios Georgiadis Files PDF elife_84024_v2.pdf 18.28 MB Close viewer /islandora/object/uuid:1e670d32-56e9-44b6-ae6b-e8990dc773b8/datastream/OBJ/view