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BRAIN

Quantitative Characterization of the Corticospinal Tract at 3T

D.S. Reicha,b, S.A. Smitha,b,c,e, C.K. Jonesb,e, K.M. Zackowskid,f, P.C. van Zijlb,c,e, P.A. Calabresia and S. Morib,e

a Department of Neurology, Johns Hopkins University, Baltimore, Md
b Department of Radiology, Johns Hopkins University, Baltimore, Md
c Department of Biophysics, Johns Hopkins University, Baltimore, Md
d Department of Physical Medicine and Rehabilitation, Johns Hopkins University, Baltimore, Md
e F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD
f Department of Physical Medicine and Rehabilitation, Kennedy Krieger Institute, Baltimore, MD

Please address correspondence to Daniel S. Reich, MD, PhD, 600 N Wolfe St, Pathology 509, Baltimore, MD 21287; e-mail: dreich2{at}jhmi.edu

BACKGROUND AND PURPOSE: White matter tract–specific imaging will probably become a major component of clinical neuroradiology. Fiber tracking with diffusion tensor imaging (DTI) is widely used, but variability is substantial. This article reports the ranges of MR imaging appearance and right-left asymmetry of healthy corticospinal tracts (CST) reconstructed with DTI.

METHODS: For 20 healthy volunteers, whole-brain DTI data were coregistered with maps of absolute T1 and T2 relaxation times and magnetization transfer ratio (MTR), all acquired at 3T. For each individual, the 2 reconstructed CSTs and their asymmetry were analyzed with respect to the number of fibers reconstructed; tract volume; and individual MR imaging parameters restricted to the tracts. Interscan variability was estimated by repeat imaging of 8 individuals.

RESULTS: Reconstructed fiber number and tract volume are highly variable, rendering them insensitive to abnormalities in disease. Individual tract-restricted MR imaging parameters are more constrained, and their population averages and normal ranges are reported. The average population asymmetry is generally zero; therefore, normal ranges for an index of asymmetry are reported. By way of example, CST-restricted MR imaging parameters and their asymmetries are shown to be abnormal in an individual with multiple sclerosis who had a lesion affecting the CST.

CONCLUSIONS: The results constitute a normative dataset for the following imaging parameters of the CST: T1, T2, MTR, fractional anisotropy, mean diffusivity, transverse diffusivity, and the 3 diffusion tensor eigenvalues. These data can be used to identify, characterize, and establish the significance of changes in diseases that affect the CST.




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