Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy

Sune N. Jespersen, Carsten R. Bjarkam, Jens R. Nyengaard, M. Mallar Chakravarty, Brian Hansen, Thomas Vosegaard, Leif Østergaard, Dmitriy Yablonskiy, Niels Chr Nielsen, Peter Vestergaard-Poulsen

Research output: Contribution to journalArticlepeer-review

237 Scopus citations

Abstract

Due to its unique sensitivity to tissue microstructure, diffusion-weighted magnetic resonance imaging (MRI) has found many applications in clinical and fundamental science. With few exceptions, a more precise correspondence between physiological or biophysical properties and the obtained diffusion parameters remain uncertain due to lack of specificity. In this work, we address this problem by comparing diffusion parameters of a recently introduced model for water diffusion in brain matter to light microscopy and quantitative electron microscopy. Specifically, we compare diffusion model predictions of neurite density in rats to optical myelin staining intensity and stereological estimation of neurite volume fraction using electron microscopy. We find that the diffusion model describes data better and that its parameters show stronger correlation with optical and electron microscopy, and thus reflect myelinated neurite density better than the more frequently used diffusion tensor imaging (DTI) and cumulant expansion methods. Furthermore, the estimated neurite orientations capture dendritic architecture more faithfully than DTI diffusion ellipsoids.

Original languageEnglish
Pages (from-to)205-216
Number of pages12
JournalNeuroImage
Volume49
Issue number1
DOIs
StatePublished - Jan 1 2010

Keywords

  • Diffusion
  • Histology
  • Neurite density
  • Stereology
  • Ultra high-field MRI

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