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

Sune Nørhøj Jespersen; Carsten Reidies Bjarkam; Jens Randel Nyengaard; Chakravarty Mallar; Brian Hansen; Thomas Vosegaard; Leif Østergaard; DA Yablonskiy; Niels Christian Nielsen; Peter Vestergaard-Poulsen

doi:10.1016/j.neuroimage.2009.08.053

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

Sune Nørhøj Jespersen, Carsten Reidies Bjarkam, Jens Randel Nyengaard, Chakravarty Mallar, Brian Hansen, Thomas Vosegaard, Leif Østergaard, DA Yablonskiy, Niels Christian Nielsen, Peter Vestergaard-Poulsen

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

234 Citations (Scopus)

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 language	English
Journal	NeuroImage
Volume	49
Issue	1
Pages (from-to)	205-16
Number of pages	12
ISSN	1053-8119
DOIs	https://doi.org/10.1016/j.neuroimage.2009.08.053
Publication status	Published - 2010

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Jespersen, S. N., Bjarkam, C. R., Nyengaard, J. R., Mallar, C., Hansen, B., Vosegaard, T., Østergaard, L., Yablonskiy, DA., Nielsen, N. C., & Vestergaard-Poulsen, P. (2010). Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy. NeuroImage, 49(1), 205-16. https://doi.org/10.1016/j.neuroimage.2009.08.053

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title = "Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy",

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.",

author = "Jespersen, {Sune N{\o}rh{\o}j} and Bjarkam, {Carsten Reidies} and Nyengaard, {Jens Randel} and Chakravarty Mallar and Brian Hansen and Thomas Vosegaard and Leif {\O}stergaard and DA Yablonskiy and Nielsen, {Niels Christian} and Peter Vestergaard-Poulsen",

year = "2010",

doi = "10.1016/j.neuroimage.2009.08.053",

language = "English",

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pages = "205--16",

journal = "NeuroImage",

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Jespersen, SN, Bjarkam, CR, Nyengaard, JR, Mallar, C, Hansen, B , Vosegaard, T , Østergaard, L, Yablonskiy, DA, Nielsen, NC & Vestergaard-Poulsen, P 2010, 'Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy', NeuroImage, vol. 49, no. 1, pp. 205-16. https://doi.org/10.1016/j.neuroimage.2009.08.053

Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy. / Jespersen, Sune Nørhøj; Bjarkam, Carsten Reidies; Nyengaard, Jens Randel et al.
In: NeuroImage, Vol. 49, No. 1, 2010, p. 205-16.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

TY - JOUR

T1 - Neurite density from magnetic resonance diffusion measurements at ultrahigh field: comparison with light microscopy and electron microscopy

AU - Jespersen, Sune Nørhøj

AU - Bjarkam, Carsten Reidies

AU - Nyengaard, Jens Randel

AU - Mallar, Chakravarty

AU - Hansen, Brian

AU - Vosegaard, Thomas

AU - Østergaard, Leif

AU - Yablonskiy, DA

AU - Nielsen, Niels Christian

AU - Vestergaard-Poulsen, Peter

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.1016/j.neuroimage.2009.08.053

DO - 10.1016/j.neuroimage.2009.08.053

M3 - Journal article

C2 - 19732836

SN - 1053-8119

VL - 49

SP - 205

EP - 216

JO - NeuroImage

JF - NeuroImage

IS - 1

ER -

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

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