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


Journal

Proceedings of the National Academy of Sciences of the United States of America
ISSN: 1091-6490
Titre abrégé: Proc Natl Acad Sci U S A
Pays: United States
ID NLM: 7505876

Informations de publication

Date de publication:
29 12 2020
Historique:
entrez: 30 12 2020
pubmed: 31 12 2020
medline: 11 2 2021
Statut: ppublish

Résumé

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

Identifiants

pubmed: 33376224
pii: 2012533117
doi: 10.1073/pnas.2012533117
pmc: PMC7777205
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

33649-33659

Informations de copyright

Copyright © 2020 the Author(s). Published by PNAS.

Déclaration de conflit d'intérêts

The authors declare no competing interest.

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Auteurs

Mariam Andersson (M)

Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, 2650 Hvidovre, Denmark; mariama@drcmr.dk timd@drcmr.dk.
Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Hans Martin Kjer (HM)

Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, 2650 Hvidovre, Denmark.
Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Jonathan Rafael-Patino (J)

Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.

Alexandra Pacureanu (A)

The European Synchrotron, 38000 Grenoble, France.

Bente Pakkenberg (B)

Research Laboratory for Stereology and Neuroscience, Copenhagen University Hospital, Bispebjerg, 2400 Copenhagen, Denmark.

Jean-Philippe Thiran (JP)

Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, 1011 Lausanne, Switzerland.
Center for Biomedical Imaging, 1015 Lausanne, Switzerland.

Maurice Ptito (M)

School of Optometry, University of Montreal, Montreal, QC H3T 1P1, Canada.
Department of Neuroscience, Faculty of Health Science, University of Copenhagen, 2200 Copenhagen, Denmark.

Martin Bech (M)

Division of Medical Radiation Physics, Department of Clinical Sciences, Lund University, 221 85 Lund, Sweden.

Anders Bjorholm Dahl (A)

Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Vedrana Andersen Dahl (V)

Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Tim B Dyrby (TB)

Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, 2650 Hvidovre, Denmark; mariama@drcmr.dk timd@drcmr.dk.
Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

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Classifications MeSH