Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Mariam Andersson
Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Yi He
Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark; Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
Alexandra Pacureanu
ESRF - The European Synchrotron, Grenoble, France
Alessandro Daducci
Department of Computer Science, University of Verona, Verona, Italy
Marco Pizzolato
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Institut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany
Anna-Lena Robisch
Institut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany
Marina Eckermann
ESRF - The European Synchrotron, Grenoble, France; Institut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany
Mareike Töpperwien
Institut für Röntgenphysik, Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany
Anders Bjorholm Dahl
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Maria Louise Elkjær
Department of Neurology, Odense University Hospital, Odense, Denmark; Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
Zsolt Illes
Department of Neurology, Odense University Hospital, Odense, Denmark; Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark; BRIDGE—Brain Research—Inter-Disciplinary Guided Excellence, Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Rheumatology Research Unit, Odense University Hospital, Odense, Denmark
Maurice Ptito
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark; School of Optometry, University of Montreal, Montreal, Canada
Vedrana Andersen Dahl
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
We used diffusion MRI and x-ray synchrotron imaging on monkey and mice brains to examine the organisation of fibre pathways in white matter across anatomical scales. We compared the structure in the corpus callosum and crossing fibre regions and investigated the differences in cuprizone-induced demyelination in mouse brains versus healthy controls. Our findings revealed common principles of fibre organisation that apply despite the varying patterns observed across species; small axonal fasciculi and major bundles formed laminar structures with varying angles, according to the characteristics of major pathways. Fasciculi exhibited non-straight paths around obstacles like blood vessels, comparable across the samples of varying fibre complexity and demyelination. Quantifications of fibre orientation distributions were consistent across anatomical length scales and modalities, whereas tissue anisotropy had a more complex relationship, both dependent on the field-of-view. Our study emphasises the need to balance field-of-view and voxel size when characterising white matter features across length scales.