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X-ray Phase-contrast imaging

Martin Bech

Universitetslektor

X-ray Phase-contrast imaging

Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship

Författare

  • Mariam Andersson
  • Hans Martin Kjer
  • Jonathan Rafael-Patino
  • Alexandra Pacureanu
  • Bente Pakkenberg
  • Jean Philippe Thiran
  • Maurice Ptito
  • Martin Bech
  • Anders Bjorholm Dahl
  • Vedrana Andersen Dahl
  • Tim B. Dyrby

Summary, in English

Axonal conduction velocity, which ensures efficient function of the brain network, is related to axon diameter. Noninvasive, in vivo axon diameter estimates can be made with diffusion magnetic resonance imaging, but the technique requires three-dimensional (3D) validation. Here, high-resolution, 3D synchrotron X-ray nano-holotomography images of white matter samples from the corpus callosum of a monkey brain reveal that blood vessels, cells, and vacuoles affect axonal diameter and trajectory. Within single axons, we find that the variation in diameter and conduction velocity correlates with the mean diameter, contesting the value of precise diameter determination in larger axons. These complex 3D axon morphologies drive previously reported 2D trends in axon diameter and g-ratio. Furthermore, we find that these morphologies bias the estimates of axon diameter with diffusion magnetic resonance imaging and, ultimately, impact the investigation and formulation of the axon structure-function relationship.

Avdelning/ar

  • X-ray Phase Contrast

Publiceringsår

2020

Språk

Engelska

Sidor

33649-33659

Publikation/Tidskrift/Serie

Proceedings of the National Academy of Sciences of the United States of America

Volym

117

Issue

52

Dokumenttyp

Artikel i tidskrift

Förlag

National Academy of Sciences

Ämne

  • Radiology, Nuclear Medicine and Medical Imaging
  • Other Physics Topics

Nyckelord

  • axon morphology
  • brain
  • conduction velocity
  • MRI
  • myelination

Status

Published

Forskningsgrupp

  • X-ray Phase Contrast

ISBN/ISSN/Övrigt

  • ISSN: 1091-6490