Literature DB >> 20660718

Neurite beading is sufficient to decrease the apparent diffusion coefficient after ischemic stroke.

Matthew D Budde1, Joseph A Frank.   

Abstract

Diffusion-weighted MRI (DWI) is a sensitive and reliable marker of cerebral ischemia. Within minutes of an ischemic event in the brain, the microscopic motion of water molecules measured with DWI, termed the apparent diffusion coefficient (ADC), decreases within the infarcted region. However, although the change is related to cell swelling, the precise pathological mechanism remains elusive. We show that focal enlargement and constriction, or beading, in axons and dendrites are sufficient to substantially decrease ADC. We first derived a biophysical model of neurite beading, and we show that the beaded morphology allows a larger volume to be encompassed within an equivalent surface area and is, therefore, a consequence of osmotic imbalance after ischemia. The DWI experiment simulated within the model revealed that intracellular ADC decreased by 79% in beaded neurites compared with the unbeaded form. To validate the model experimentally, excised rat sciatic nerves were subjected to stretching, which induced beading but did not cause a bulk shift of water into the axon (i.e., swelling). Beading-induced changes in cell-membrane morphology were sufficient to significantly hinder water mobility and thereby decrease ADC, and the experimental measurements were in excellent agreement with the simulated values. This is a demonstration that neurite beading accurately captures the diffusion changes measured in vivo. The results significantly advance the specificity of DWI in ischemia and other acute neurological injuries and will greatly aid the development of treatment strategies to monitor and repair damaged brain in both clinical and experimental settings.

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Year:  2010        PMID: 20660718      PMCID: PMC2922529          DOI: 10.1073/pnas.1004841107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  49 in total

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Authors:  D G Norris
Journal:  NMR Biomed       Date:  2001-04       Impact factor: 4.044

2.  Convergence and parameter choice for Monte-Carlo simulations of diffusion MRI.

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Review 3.  The role of diffusion tensor imaging in the evaluation of ischemic brain injury - a review.

Authors:  Christopher H Sotak
Journal:  NMR Biomed       Date:  2002 Nov-Dec       Impact factor: 4.044

Review 4.  The origin and nature of beading: a reversible transformation of the shape of nerve fibers.

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Journal:  Prog Neurobiol       Date:  1997-08       Impact factor: 11.685

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Authors:  S Ochs; R A Jersild; R Pourmand; C G Potter
Journal:  Neuroscience       Date:  1994-07       Impact factor: 3.590

6.  Complex geometric models of diffusion and relaxation in healthy and damaged white matter.

Authors:  Bennett A Landman; Jonathan A D Farrell; Seth A Smith; Daniel S Reich; Peter A Calabresi; Peter C M van Zijl
Journal:  NMR Biomed       Date:  2010-02       Impact factor: 4.044

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Journal:  J Neurocytol       Date:  1994-09

8.  Diffusion tensor imaging reliably detects experimental traumatic axonal injury and indicates approximate time of injury.

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9.  Real-time passive volume responses of astrocytes to acute osmotic and ischemic stress in cortical slices and in vivo revealed by two-photon microscopy.

Authors:  W Christopher Risher; R David Andrew; Sergei A Kirov
Journal:  Glia       Date:  2009-01-15       Impact factor: 7.452

10.  Evaluation of extra- and intracellular apparent diffusion in normal and globally ischemic rat brain via 19F NMR.

Authors:  T Q Duong; J J Ackerman; H S Ying; J J Neil
Journal:  Magn Reson Med       Date:  1998-07       Impact factor: 4.668

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  79 in total

1.  Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited.

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-03       Impact factor: 11.205

2.  Delayed axonal degeneration in slow Wallerian degeneration mutant mice detected using diffusion tensor imaging.

Authors:  M Xie; Q Wang; T-H Wu; S-K Song; S-W Sun
Journal:  Neuroscience       Date:  2011-09-25       Impact factor: 3.590

3.  Population-based Bayesian regularization for microstructural diffusion MRI with NODDIDA.

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4.  Altered Human Memory Modification in the Presence of Normal Consolidation.

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Journal:  Cereb Cortex       Date:  2015-08-12       Impact factor: 5.357

5.  A comparative study of the sensitivity of diffusion-related parameters obtained from diffusion tensor imaging, diffusional kurtosis imaging, q-space analysis and bi-exponential modelling in the early disease course (24 h) of hyperacute (6 h) ischemic stroke patients.

Authors:  Gaëtan Duchêne; Frank Peeters; André Peeters; Thierry Duprez
Journal:  MAGMA       Date:  2017-03-06       Impact factor: 2.310

6.  The Roles of Microtubules and Membrane Tension in Axonal Beading, Retraction, and Atrophy.

Authors:  Anagha Datar; Jaishabanu Ameeramja; Alka Bhat; Roli Srivastava; Ashish Mishra; Roberto Bernal; Jacques Prost; Andrew Callan-Jones; Pramod A Pullarkat
Journal:  Biophys J       Date:  2019-08-02       Impact factor: 4.033

7.  Joint radius-length distribution as a measure of anisotropic pore eccentricity: an experimental and analytical framework.

Authors:  Dan Benjamini; Peter J Basser
Journal:  J Chem Phys       Date:  2014-12-07       Impact factor: 3.488

8.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

9.  Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI.

Authors:  Dmitry S Novikov; Jelle Veraart; Ileana O Jelescu; Els Fieremans
Journal:  Neuroimage       Date:  2018-03-12       Impact factor: 6.556

10.  Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.

Authors:  Gaëtan Rensonnet; Benoît Scherrer; Gabriel Girard; Aleksandar Jankovski; Simon K Warfield; Benoît Macq; Jean-Philippe Thiran; Maxime Taquet
Journal:  Neuroimage       Date:  2018-09-30       Impact factor: 6.556

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