Elsevier

NeuroImage

Volume 79, 1 October 2013, Pages 329-339
NeuroImage

Diffusion tensor magnetic resonance histology reveals microstructural changes in the developing rat brain

https://doi.org/10.1016/j.neuroimage.2013.04.101Get rights and content

Highlights

  • We track diffusion tensor changes in the rat brain throughout postnatal development.

  • We analyze diffusion tensor changes in white matter and gray matter structures.

  • We correlate diffusion tensor changes with tissue microstructural changes.

Abstract

The postnatal period is a remarkably dynamic phase of brain growth and development characterized by large-scale macrostructural changes, as well as dramatic microstructural changes, including myelination and cortical layering. This crucial period of neurodevelopment is uniquely susceptible to a wide variety of insults that may lead to neurologic disease. MRI is an important tool for studying both normal and abnormal neurodevelopmental changes, and quantitative imaging strategies like diffusion tensor imaging (DTI) allow visualization of many of the complex microstructural changes that occur during postnatal life. Diffusion tensor magnetic resonance histology (DT-MRH) provides particularly unique insight into cytoarchitectural changes in the developing brain. In this study, we used DT-MRH to track microstructural changes in the rat brain throughout normal postnatal neurodevelopment. We provide examples of diffusion tensor parameter changes in both white matter and gray matter structures, and correlate these changes with changes in cytoarchitecture. Finally, we provide a comprehensive database of image sets as a foundation for future studies using DT-MRH to characterize abnormal neurodevelopment in rodent models of neurodevelopmental disease.

Section snippets

Introduction and background

Early postnatal life is a crucial period of mammalian brain growth and development. During this period the neonate is exposed to the extrauterine environment for the first time and must learn to interact with others and process a wide variety of external stimuli (i.e. vision, olfaction, audition). These dramatic functional changes are accompanied by equally dramatic changes in brain structure including massive cell growth and macrostructural changes. Perhaps equally as important are the complex

Experimental animals

All experiments were done with the approval of the Duke University Institutional Animal Care and Use Committee. To ensure accurate sampling of postnatal brain development, we selected nine time-points temporally spaced to allow an approximately fixed percentage increase (~ 30%) in brain mass between samples based on previously published rat brain growth curves (Donaldson, 1915). The nine time-points selected for the atlas were p0, p2, p4, p8, p12, p18, p24, p40, and p80 (where “p” indicates

DT-MRH of postnatal rat brain development

Fig. 1 shows population-averaged (n = 5), directionally-encoded color FA maps from all nine time-points included in this study (p0 to p80) in the coronal plane. Pixel intensity indicates fractional anisotropy and color indicates orientation of the primary eigenvector (red = lateral/medial orientation, green = rostral/caudal and blue = dorsal/ventral). All coronal slices are taken from roughly the same anatomic location—through the rostral aspect of the hippocampal formation. On the right side of Fig. 1

Diffusion tensor changes reveal white matter maturation

A majority of white matter myelination in the rodent brain occurs during the early postnatal period, and the myelination process is virtually complete by the third postnatal week (Foran and Peterson, 1992). FA is a sensitive (though not specific) imaging biomarker for axonal organization and myelin integrity. The diffusion data collected for this study reveal dramatic microstructural changes during early postnatal development that correlate, both spatially and temporally, with known white

Conclusions

The data presented here represents the most comprehensive and highest-resolution diffusion tensor database of rat neurodevelopment to date. We have collected diffusion tensor data at unprecedented spatial- and temporal-resolution throughout postnatal neurodevelopment and used it to characterize the normal microstructural changes that occur during this crucial period of brain growth and differentiation. Further, we have correlated our findings with known microstructural developmental milestones

Acknowledgments

All work was performed at the Duke Center for In Vivo Microscopy, an NIH/NIBIB Biomedical Technology Resource Center (P41 EB015897). We are grateful to Sally Gewalt and James Cook for assistance with the imaging pipelines. We thank Dr. Yi Qi and Gary Cofer for assistance in specimen preparation and scanning. We thank John Lee and David Joseph Lee for assistance with labeling, and Sally Zimney for assistance in editing. Finally, we thank Neil Medvitz and Dr. Sara Miller at the Duke Electron

References (52)

  • A.L. Alexander et al.

    Analysis of partial volume effects in diffusion-tensor MRI

    Magn. Reson. Med.

    (2001)
  • K.L. Allendoerfer et al.

    The subplate, a transient neocortical structure: its role in the development of connections between thalamus and cortex

    Annu. Rev. Neurosci.

    (1994)
  • A.W. Anderson

    Theoretical analysis of the effects of noise on diffusion tensor imaging

    Magn. Reson. Med.

    (2001)
  • V. Arsigny et al.

    Log-Euclidean metrics for fast and simple calculus on diffusion tensors

    Magn. Reson. Med.

    (2006)
  • B. Avants et al.

    Multivariate analysis of structural and diffusion imaging in traumatic brain injury

    Acad. Radiol.

    (2008)
  • P.J. Basser

    Inferring microstructural features and the physiological state of tissues from diffusion-weighted images

    NMR Biomed.

    (1995)
  • P.J. Basser et al.

    Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI

    J. Magn. Reson. B

    (1996)
  • K.H. Bockhorst et al.

    Early postnatal development of rat brain: in vivo diffusion tensor imaging

    J. Neurosci. Res.

    (2008)
  • C. Bonnier et al.

    Animal models of shaken baby syndrome: revisiting the pathophysiology of this devastating injury

    Pediatr. Rehabil.

    (2004)
  • E. Calabrese et al.

    An ontology-based segmentation scheme for tracking postnatal changes in the developing rodent brain with MRI

    NeuroImage

    (2012)
  • E. Calabrese et al.

    A quantitative magnetic resonance histology atlas of postnatal rat brain development with regional estimates of growth and variability

    NeuroImage

    (2013)
  • H. Chahboune et al.

    Neurodevelopment of C57B/L6 mouse brain assessed by in vivo diffusion tensor imaging

    NMR Biomed.

    (2007)
  • G. Chanas-Sacre et al.

    Radial glia phenotype: origin, regulation, and transdifferentiation

    J. Neurosci. Res.

    (2000)
  • N. Chuang et al.

    An MRI-based atlas and database of the developing mouse brain

    NeuroImage

    (2011)
  • H.H. Donaldson

    The Rat: Reference Tables and Data for the Albino Rat (Mus norvegicus albinus) and the Norway Rat (Mus norvegicus)

    (1915)
  • J. Ellegood et al.

    Brain abnormalities in a Neuroligin3 R451C knockin mouse model associated with autism

    Autism Res.

    (2011)
  • E.J. Field et al.

    Electron microscopic observations on the development of myelin in cultures of neonatal rat cerebellum

    J. Neurol. Sci.

    (1969)
  • D.R. Foran et al.

    Myelin acquisition in the central nervous system of the mouse revealed by an MBP-Lac Z transgene

    J. Neurosci.

    (1992)
  • R.T. Giberson et al.

    Microwave processing techniques for electron microscopy: a four-hour protocol

    Methods Mol. Biol.

    (1999)
  • D.N. Guilfoyle et al.

    Diffusion tensor imaging in fixed brain tissue at 7.0 T

    NMR Biomed.

    (2003)
  • Y. Jiang et al.

    Microscopic diffusion tensor atlas of the mouse brain

    NeuroImage

    (2011)
  • G.A. Johnson et al.

    Morphologic phenotyping with MR microscopy: the visible mouse

    Radiology

    (2002)
  • G.A. Johnson et al.

    High-throughput morphologic phenotyping of the mouse brain with magnetic resonance histology

    NeuroImage

    (2007)
  • M. Kim et al.

    Spatial resolution dependence of DTI tractography in human occipito-callosal region

    NeuroImage

    (2006)
  • P. Kochunov et al.

    Regional spatial normalization: toward an optimal target

    J. Comput. Assist. Tomogr.

    (2001)
  • N. Kovacevic et al.

    A three-dimensional MRI atlas of the mouse brain with estimates of the average and variability

    Cereb. Cortex

    (2005)
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