Literature DB >> 26217818

Quantitative analysis of the myelin g-ratio from electron microscopy images of the macaque corpus callosum.

Nikola Stikov1, Jennifer S W Campbell2, Thomas Stroh2, Mariette Lavelée2, Stephen Frey2, Jennifer Novek2, Stephen Nuara2, Ming-Kai Ho2, Barry J Bedell2, Robert F Dougherty3, Ilana R Leppert2, Mathieu Boudreau2, Sridar Narayanan2, Tanguy Duval4, Julien Cohen-Adad4, Paul-Alexandre Picard5, Alicja Gasecka6, Daniel Côté6, G Bruce Pike7.   

Abstract

We provide a detailed morphometric analysis of eight transmission electron micrographs (TEMs) obtained from the corpus callosum of one cynomolgus macaque. The raw TEM images are included in the article, along with the distributions of the axon caliber and the myelin g-ratio in each image. The distributions are analyzed to determine the relationship between axon caliber and g-ratio, and compared against the aggregate metrics (myelin volume fraction, fiber volume fraction, and the aggregate g-ratio), as defined in the accompanying research article entitled 'In vivo histology of the myelin g-ratio with magnetic resonance imaging' (Stikov et al., NeuroImage, 2015).

Entities:  

Year:  2015        PMID: 26217818      PMCID: PMC4510539          DOI: 10.1016/j.dib.2015.05.019

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Value of the data There is a limited number of publicly available datasets for comprehensive morphometric analysis of white matter microstructure. Our dataset illustrates the complex relationship between axon caliber and the myelin g-ratio in eight distinct regions of the corpus callosum of a cynomolgus macaque. The data is systematized in a way that makes it easy to explore the relationship between aggregate metrics (AVF, MVF, aggregate g-ratio) and the underlying distributions producing these metrics.

Data, experimental design, materials and methods

Experimental design and analysis

One healthy cynomolgus macaque was euthanized by means of exsanguination with anesthesia provided by ketamine (15–20 mg/kg i.m.) and sodium pentobarbital (100 mg/kg i.v.). When there was an absence of reflexes, the animal was perfused transcardially with heparinized saline (0.9% NaCl and 0.5 ml/L of heparin), and then with 2% paraformaldehyde and 2% glutaraldehyde solution. 48 h later, the corpus callosum was extracted, sectioned on a vibratome at 50 µm thickness, prepared with osmium and divided into eight segments of equal length from anterior to posterior. Electron microscopy (EM) was performed on samples from each of the segments one to eight at 1900× magnification, yielding images of 21×28 µm2 with 9.144 nm/pixel. The images are included as supplementary data and are the same ones used in [1]. Axon and myelin segmentation was performed on each image using an automated method for large scale histology, and details of the analysis can be found in [2]. For each EM image the software provided an axon count, the individual axon calibers and the corresponding myelin g-ratios. Fig. 1 shows the distribution of the axon caliber in the eight corpus callosum images, and Fig. 2 shows the distribution of the corresponding myelin g-ratios. While it is difficult to draw conclusions about an entire segment of the CC based on a single image, certain trends, such as large axons in the splenium of the corpus callosum, are consistent with the literature [3]. Fig. 3 shows that the myelin g-ratio is only moderately correlated with axon caliber, justifying the need for measuring the two quantities separately. Table 1 shows listing of aggregate metrics (MVF, FVF and aggregate g-ratio), as defined in [4]. For the images below, the aggregate g-ratio (defined as ) correlates with the mean g-ratio (r=0.85, p=0.007), even though it slightly overestimates it (g=1.05⁎g+0.036). We expect this relationship to remain significant in regions where the g-ratio is relatively uniform. These two measures will be equal if the g-ratio is the same for all axons, and will deviate otherwise. In extreme cases, the two measures might not correlate (see discussion in [1]).
Fig. 1

Distribution of axon caliber in images 1–8.

Fig. 2

Distribution of g-ratios in images 1–8.

Fig. 3

Correlation between axon caliber and myelin g-ratio in images 1–8.

Table 1

Measurements of the MVF, FVF, and the g-ratio (aggregate and mean) for images 1–8. The aggregate g-ratio correlates significantly with the mean g-ratio (r= 0.85, p= 0.007). For definitions of these metrics, please consult [1].

SampleMVFFVFAggregate g-ratioMean g-ratio
10.340.660.700.65
20.270.560.720.66
30.400.730.670.62
40.220.500.750.68
50.270.560.720.65
60.260.560.740.66
70.230.410.670.60
80.190.430.750.65
Subject areaNeuroanatomy
More specific subject areaMorphometry
Type of dataElectron microscopy (EM) images, and figures illustrating the EM analysis
How data was acquiredFEI Tecnai 12 120 kV Transmission Electron Microscope
Data formatTIFF (raw)
Experimental factorsSpecimen perfusion fixed with 2% paraformaldehyde and 2% glutaraldehyde, then stained with osmium
Experimental featuresEM images were analyzed using an automated method for the segmentation and morphometry of white matter
Data source locationMontreal, Canada
Data accessibilityData is included with this article
  4 in total

1.  In vivo histology of the myelin g-ratio with magnetic resonance imaging.

Authors:  Nikola Stikov; Jennifer S W Campbell; Thomas Stroh; Mariette Lavelée; Stephen Frey; Jennifer Novek; Stephen Nuara; Ming-Kai Ho; Barry J Bedell; Robert F Dougherty; Ilana R Leppert; Mathieu Boudreau; Sridar Narayanan; Tanguy Duval; Julien Cohen-Adad; Paul-Alexandre Picard; Alicja Gasecka; Daniel Côté; G Bruce Pike
Journal:  Neuroimage       Date:  2015-05-21       Impact factor: 6.556

2.  Automated method for the segmentation and morphometry of nerve fibers in large-scale CARS images of spinal cord tissue.

Authors:  Steve Bégin; Olivier Dupont-Therrien; Erik Bélanger; Amy Daradich; Sophie Laffray; Yves De Koninck; Daniel C Côté
Journal:  Biomed Opt Express       Date:  2014-11-05       Impact factor: 3.732

3.  Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure.

Authors:  Nikola Stikov; Lee M Perry; Aviv Mezer; Elena Rykhlevskaia; Brian A Wandell; John M Pauly; Robert F Dougherty
Journal:  Neuroimage       Date:  2010-09-07       Impact factor: 6.556

4.  Cytological and quantitative characteristics of four cerebral commissures in the rhesus monkey.

Authors:  A S Lamantia; P Rakic
Journal:  J Comp Neurol       Date:  1990-01-22       Impact factor: 3.215

  4 in total
  21 in total

1.  High-resolution imaging of distinct human corpus callosum microstructure and topography of structural connectivity to cortices at high field.

Authors:  Byeong-Yeul Lee; Xiao-Hong Zhu; Xiufeng Li; Wei Chen
Journal:  Brain Struct Funct       Date:  2018-12-03       Impact factor: 3.270

Review 2.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

Review 3.  Modeling white matter microstructure.

Authors:  T Duval; N Stikov; J Cohen-Adad
Journal:  Funct Neurol       Date:  2016 Oct/Dec

4.  Preparation of Non-human Primate Brain Tissue for Pre-embedding Immunohistochemistry and Electron Microscopy.

Authors:  Lara Eid; Martin Parent
Journal:  J Vis Exp       Date:  2017-04-03       Impact factor: 1.355

5.  White matter intercompartmental water exchange rates determined from detailed modeling of the myelin sheath.

Authors:  Peter van Gelderen; Jeff H Duyn
Journal:  Magn Reson Med       Date:  2018-09-19       Impact factor: 4.668

6.  A revised model for estimating g-ratio from MRI.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Mark D Does
Journal:  Neuroimage       Date:  2015-08-20       Impact factor: 6.556

7.  g-Ratio weighted imaging of the human spinal cord in vivo.

Authors:  T Duval; S Le Vy; N Stikov; J Campbell; A Mezer; T Witzel; B Keil; V Smith; L L Wald; E Klawiter; J Cohen-Adad
Journal:  Neuroimage       Date:  2016-09-22       Impact factor: 6.556

Review 8.  Evaluating g-ratio weighted changes in the corpus callosum as a function of age and sex.

Authors:  Shai Berman; Kathryn L West; Mark D Does; Jason D Yeatman; Aviv A Mezer
Journal:  Neuroimage       Date:  2017-06-30       Impact factor: 6.556

9.  Quantitative analysis of mouse corpus callosum from electron microscopy images.

Authors:  Kathryn L West; Nathaniel D Kelm; Robert P Carson; Mark D Does
Journal:  Data Brief       Date:  2015-09-03

10.  Automated Axon Counting in Rodent Optic Nerve Sections with AxonJ.

Authors:  Kasra Zarei; Todd E Scheetz; Mark Christopher; Kathy Miller; Adam Hedberg-Buenz; Anamika Tandon; Michael G Anderson; John H Fingert; Michael David Abràmoff
Journal:  Sci Rep       Date:  2016-05-26       Impact factor: 4.379

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