Literature DB >> 17110689

Quantitative characterization of the corticospinal tract at 3T.

D S Reich1, S A Smith, C K Jones, K M Zackowski, P C van Zijl, P A Calabresi, S Mori.   

Abstract

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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Mesh:

Year:  2006        PMID: 17110689      PMCID: PMC2802715     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  32 in total

1.  Analysis of partial volume effects in diffusion-tensor MRI.

Authors:  A L Alexander; K M Hasan; M Lazar; J S Tsuruda; D L Parker
Journal:  Magn Reson Med       Date:  2001-05       Impact factor: 4.668

2.  Optimal strategies for measuring diffusion in anisotropic systems by magnetic resonance imaging.

Authors:  D K Jones; M A Horsfield; A Simmons
Journal:  Magn Reson Med       Date:  1999-09       Impact factor: 4.668

3.  Variability and asymmetry in the human precentral motor system. A cytoarchitectonic and myeloarchitectonic brain mapping study.

Authors:  J Rademacher; U Bürgel; S Geyer; T Schormann; A Schleicher; H J Freund; K Zilles
Journal:  Brain       Date:  2001-11       Impact factor: 13.501

4.  Limitations and requirements of diffusion tensor fiber tracking: an assessment using simulations.

Authors:  J-D Tournier; F Calamante; M D King; D G Gadian; A Connelly
Journal:  Magn Reson Med       Date:  2002-04       Impact factor: 4.668

5.  High-resolution diffusion tensor imaging of the brain stem at 3 T.

Authors:  Lidia M Nagae-Poetscher; Hangyi Jiang; Setsu Wakana; Xavier Golay; Peter C M van Zijl; Susumu Mori
Journal:  AJNR Am J Neuroradiol       Date:  2004-09       Impact factor: 3.825

6.  Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach.

Authors:  Derek K Jones; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2005-05       Impact factor: 4.668

7.  Axial asymmetry of water diffusion in brain white matter.

Authors:  Mariana Lazar; Jong Hoon Lee; Andrew L Alexander
Journal:  Magn Reson Med       Date:  2005-10       Impact factor: 4.668

8.  Structure of the human sensorimotor system. II: Lateral symmetry.

Authors:  L E White; T J Andrews; C Hulette; A Richards; M Groelle; J Paydarfar; D Purves
Journal:  Cereb Cortex       Date:  1997 Jan-Feb       Impact factor: 5.357

9.  Axonal degeneration and progressive neurologic disability in multiple sclerosis.

Authors:  Carl Bjartmar; Bruce D Trapp
Journal:  Neurotox Res       Date:  2003       Impact factor: 3.911

10.  T1 relaxation time mapping of white matter tracts in multiple sclerosis defined by diffusion tensor imaging.

Authors:  Lalitha Vaithianathar; Chris R Tench; Paul S Morgan; Martin Wilson; Lance D Blumhardt
Journal:  J Neurol       Date:  2002-09       Impact factor: 4.849

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  59 in total

1.  Inferior frontal white matter asymmetry correlates with executive control of attention.

Authors:  Xuntao Yin; Yan Han; Haitao Ge; Wenjian Xu; Ruiwang Huang; Dong Zhang; Junhai Xu; Lingzhong Fan; Zengchang Pang; Shuwei Liu
Journal:  Hum Brain Mapp       Date:  2011-11-23       Impact factor: 5.038

2.  Diffusion tensor imaging of the optic tracts in multiple sclerosis: association with retinal thinning and visual disability.

Authors:  Hormuzdiyar H Dasenbrock; Seth A Smith; Arzu Ozturk; Sheena K Farrell; Peter A Calabresi; Daniel S Reich
Journal:  J Neuroimaging       Date:  2011-04       Impact factor: 2.486

3.  Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis.

Authors:  Daniel S Reich; Seth A Smith; Kathleen M Zackowski; Eliza M Gordon-Lipkin; Craig K Jones; Jonathan A D Farrell; Susumu Mori; Peter C M van Zijl; Peter A Calabresi
Journal:  Neuroimage       Date:  2007-08-15       Impact factor: 6.556

4.  Corticospinal tract asymmetry and handedness in right- and left-handers by diffusion tensor tractography.

Authors:  Romuald Seizeur; Elsa Magro; Sylvain Prima; Nicolas Wiest-Daesslé; Camille Maumet; Xavier Morandi
Journal:  Surg Radiol Anat       Date:  2013-06-27       Impact factor: 1.246

5.  Tract-specific analysis of white matter pathways in healthy subjects: a pilot study using diffusion tensor MRI.

Authors:  Hasina Yasmin; Shigeki Aoki; Osamu Abe; Yasuhiro Nakata; Naoto Hayashi; Yoshitaka Masutani; Masami Goto; Kuni Ohtomo
Journal:  Neuroradiology       Date:  2009-08-07       Impact factor: 2.804

6.  Plasticity of the superior and middle cerebellar peduncles in musicians revealed by quantitative analysis of volume and number of streamlines based on diffusion tensor tractography.

Authors:  Ihssan A Abdul-Kareem; Andrej Stancak; Laura M Parkes; May Al-Ameen; Jamaan Alghamdi; Faten M Aldhafeeri; Karl Embleton; David Morris; Vanessa Sluming
Journal:  Cerebellum       Date:  2011-09       Impact factor: 3.847

7.  Spinal cord quantitative MRI discriminates between disability levels in multiple sclerosis.

Authors:  Jiwon Oh; Shiv Saidha; Min Chen; Seth A Smith; Jerry Prince; Craig Jones; Marie Diener-West; Peter C M van Zijl; Daniel S Reich; Peter A Calabresi
Journal:  Neurology       Date:  2013-01-16       Impact factor: 9.910

Review 8.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012

9.  Thalamo-frontal white matter alterations in chronic schizophrenia: a quantitative diffusion tractography study.

Authors:  Jungsu S Oh; Marek Kubicki; Gudrun Rosenberger; Sylvain Bouix; James J Levitt; Robert W McCarley; Carl-Fredrik Westin; Martha E Shenton
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

10.  A novel approach with "skeletonised MTR" measures tract-specific microstructural changes in early primary-progressive MS.

Authors:  Benedetta Bodini; Mara Cercignani; Ahmed Toosy; Nicola De Stefano; David H Miller; Alan J Thompson; Olga Ciccarelli
Journal:  Hum Brain Mapp       Date:  2013-04-24       Impact factor: 5.038

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