Literature DB >> 23864396

Brain white matter diffusion tensor metrics from clinical 1.5T MRI distinguish between ALS phenotypes.

Venkateswaran Rajagopalan1, Guang H Yue, Erik P Pioro.   

Abstract

Patients with amyotrophic lateral sclerosis (ALS) can present with varying degrees of upper motor neuron (UMN) and lower motor neuron dysfunction. Previous diffusion tensor imaging (DTI) studies, in which ALS patients were not separated by the degree of UMN dysfunction, have resulted in conflicting or inconclusive results. We hypothesized that (1) categorizing ALS patients by their clinical phenotype can reveal differences in DTI abnormalities along the corticospinal tract (CST), and (2) data obtained from routine clinical DTI scans can provide this type of information. Clinical DTI scans were obtained at 1.5T in 87 ALS patients (categorized into four subgroups based on clinical phenotype) and in 12 neurologic controls. Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity values from the CST were compared between ALS subgroups and controls. Significantly reduced FA and elevated MD values were observed in ALS patients compared to controls at the subcortical motor cortex level. Significant differences in AD values were not only seen between control and ALS patients but also between the ALS subgroups, suggesting divergent pathologies in these ALS patients. Classifying ALS patients by phenotype reveals differences in CST abnormalities between subgroups and may provide novel insights into disease mechanisms. The close similarity of our results from routine clinical scans with published research studies suggests wider accessibility to useful DTI metrics.

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Year:  2013        PMID: 23864396     DOI: 10.1007/s00415-013-7012-1

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  35 in total

1.  Diffusion tensor MRI assesses corticospinal tract damage in ALS.

Authors:  C M Ellis; A Simmons; D K Jones; J Bland; J M Dawson; M A Horsfield; S C Williams; P N Leigh
Journal:  Neurology       Date:  1999-09-22       Impact factor: 9.910

2.  SENSE-DTI at 3 T.

Authors:  T Jaermann; G Crelier; K P Pruessmann; X Golay; T Netsch; A M C van Muiswinkel; S Mori; P C M van Zijl; A Valavanis; S Kollias; P Boesiger
Journal:  Magn Reson Med       Date:  2004-02       Impact factor: 4.668

3.  The effect of gradient sampling schemes on measures derived from diffusion tensor MRI: a Monte Carlo study.

Authors:  Derek K Jones
Journal:  Magn Reson Med       Date:  2004-04       Impact factor: 4.668

Review 4.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

5.  Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: revisited.

Authors:  Caroline A Sage; Wim Van Hecke; Ronald Peeters; Jan Sijbers; Wim Robberecht; Paul Parizel; Guy Marchal; Alexander Leemans; Stefan Sunaert
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

6.  The B-matrix must be rotated when correcting for subject motion in DTI data.

Authors:  Alexander Leemans; Derek K Jones
Journal:  Magn Reson Med       Date:  2009-06       Impact factor: 4.668

7.  Amyotrophic lateral sclerosis: diffusion tensor tractography and voxel-based analysis.

Authors:  Osamu Abe; Haruyasu Yamada; Yoshitaka Masutani; Shigeki Aoki; Akira Kunimatsu; Hidenori Yamasue; Rinmei Fukuda; Kiyoto Kasai; Naoto Hayashi; Tomohiko Masumoto; Harushi Mori; Tsutomu Soma; Kuni Ohtomo
Journal:  NMR Biomed       Date:  2004-10       Impact factor: 4.044

8.  A longitudinal study of diffusion tensor MRI in ALS.

Authors:  Camilla R V Blain; Victoria C Williams; Clare Johnston; Biba R Stanton; Jeban Ganesalingam; Jozef M Jarosz; Derek K Jones; Gareth J Barker; Steve C R Williams; Nigel P Leigh; Andy Simmons
Journal:  Amyotroph Lateral Scler       Date:  2007-10-08

9.  Objective tests for upper motor neuron involvement in amyotrophic lateral sclerosis (ALS).

Authors:  P Kaufmann; S L Pullman; D C Shungu; S Chan; A P Hays; M L Del Bene; M A Dover; M Vukic; L P Rowland; H Mitsumoto
Journal:  Neurology       Date:  2004-05-25       Impact factor: 9.910

10.  Diffusion tensor imaging in the diagnosis of primary lateral sclerosis.

Authors:  Aziz M Uluğ; Thomas Grünewald; Michael T Lin; Ayeesha K Kamal; Christopher G Filippi; Robert D Zimmerman; M Flint Beal
Journal:  J Magn Reson Imaging       Date:  2004-01       Impact factor: 4.813

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  9 in total

1.  Beyond fractional anisotropy in amyotrophic lateral sclerosis: the value of mean, axial, and radial diffusivity and its correlation with electrophysiological conductivity changes.

Authors:  Ana Filipa Geraldo; João Pereira; Pedro Nunes; Sofia Reimão; Rita Sousa; Miguel Castelo-Branco; Susana Pinto; Jorge Guedes Campos; Mamede de Carvalho
Journal:  Neuroradiology       Date:  2018-03-22       Impact factor: 2.804

Review 2.  Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.

Authors:  Esther Verstraete; Bradley R Foerster
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

3.  Corticospinal tract diffusion abnormalities early after stroke predict motor outcome.

Authors:  Benjamin N Groisser; William A Copen; Aneesh B Singhal; Kelsi K Hirai; Judith D Schaechter
Journal:  Neurorehabil Neural Repair       Date:  2014-02-11       Impact factor: 3.919

Review 4.  Brain connectivity in neurodegenerative diseases--from phenotype to proteinopathy.

Authors:  Michela Pievani; Nicola Filippini; Martijn P van den Heuvel; Stefano F Cappa; Giovanni B Frisoni
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5.  Endomicroscopy and electromyography of neuromuscular junctions in situ.

Authors:  Rosalind Brown; Kosala N Dissanayake; Paul A Skehel; Richard R Ribchester
Journal:  Ann Clin Transl Neurol       Date:  2014-10-10       Impact factor: 4.511

6.  Brain Parenchymal Fraction: A Relatively Simple MRI Measure to Clinically Distinguish ALS Phenotypes.

Authors:  Venkateswaran Rajagopalan; Erik P Pioro
Journal:  Biomed Res Int       Date:  2015-12-13       Impact factor: 3.411

7.  Differential involvement of corticospinal tract (CST) fibers in UMN-predominant ALS patients with or without CST hyperintensity: A diffusion tensor tractography study.

Authors:  Venkateswaran Rajagopalan; Erik P Pioro
Journal:  Neuroimage Clin       Date:  2017-02-22       Impact factor: 4.881

8.  Corticospinal Tract and Related Grey Matter Morphometric Shape Analysis in ALS Phenotypes: A Fractal Dimension Study.

Authors:  Venkateswaran Rajagopalan; Erik P Pioro
Journal:  Brain Sci       Date:  2021-03-14

Review 9.  Lessons of ALS imaging: Pitfalls and future directions - A critical review.

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Journal:  Neuroimage Clin       Date:  2014-02-27       Impact factor: 4.881

  9 in total

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