Literature DB >> 11706094

Volumetric analysis reveals corticospinal tract degeneration and extramotor involvement in ALS.

C M Ellis1, J Suckling, E Amaro, E T Bullmore, A Simmons, S C Williams, P N Leigh.   

Abstract

BACKGROUND: Pathologic changes in the motor cortex and corticospinal tracts in ALS may be reflected by abnormal signal intensities on conventional MRI. The sensitivity of these changes in detecting underlying pathology remains unclear.
METHOD: The authors used automated image analysis to quantify volumes of cerebral gray and white matter in 16 patients with ALS (eight limb onset, eight bulbar onset) and eight normal controls. Previously they had demonstrated a reduction in N-acetyl aspartate/creatine + phosphocreatine (NAA/[Cr + PCr]) measured by (1)H-MRS in the subcortical white matter in the motor cortex region in the patients with bulbar-onset ALS. To determine whether this resulted from axonal degeneration, they also compared gray and white matter volumes in the patients with limb- and bulbar-onset ALS.
RESULTS: There were no differences in the total brain volumes of gray or white matter for the three subject groups (p > 0.23). Comparison of the total ALS group and controls revealed localized deficits in gray matter volume centered on Brodmann areas 8, 9, and 10 bilaterally. Comparison of the patients with limb- and bulbar-onset ALS revealed deficits in the white matter volume in the bulbar-onset group, extending bilaterally from the precentral gyrus into the internal capsule and brainstem, consistent with the course of the corticospinal tract. There was no loss in gray matter volume in the precentral gyri.
CONCLUSIONS: The loss of gray matter in the frontal regions (total ALS group) provides further support that ALS is a multisystem disorder. In addition, there is in vivo evidence of axonal degeneration in the subcortical white matter in the motor region in patients with bulbar-onset ALS. This is consistent with a "dying back" process affecting cortical motoneurons in bulbar-onset ALS.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11706094     DOI: 10.1212/wnl.57.9.1571

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  60 in total

Review 1.  The present and the future of neuroimaging in amyotrophic lateral sclerosis.

Authors:  F Agosta; A Chiò; M Cosottini; N De Stefano; A Falini; M Mascalchi; M A Rocca; V Silani; G Tedeschi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-01       Impact factor: 3.825

2.  The size distribution of neurons in the motor cortex in amyotrophic lateral sclerosis.

Authors:  Mette Helene Toft; Ole Gredal; Bente Pakkenberg
Journal:  J Anat       Date:  2005-10       Impact factor: 2.610

3.  Diffusion tensor imaging in amyotrophic lateral sclerosis: volumetric analysis of the corticospinal tract.

Authors:  S Wang; H Poptani; M Bilello; X Wu; J H Woo; L B Elman; L F McCluskey; J Krejza; E R Melhem
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

Review 4.  An artificial immune-activated neural network applied to brain 3D MRI segmentation.

Authors:  Akmal Younis; Mohamed Ibrahim; Mansur Kabuka; Nigel John
Journal:  J Digit Imaging       Date:  2007-12-11       Impact factor: 4.056

5.  In vivo voxel-based relaxometry in amyotrophic lateral sclerosis.

Authors:  Martina Minnerop; Karsten Specht; Jürgen Ruhlmann; Christoph Grothe; Ullrich Wüllner; Thomas Klockgether
Journal:  J Neurol       Date:  2009-02-16       Impact factor: 4.849

6.  Corpus callosum involvement is a consistent feature of amyotrophic lateral sclerosis.

Authors:  N Filippini; G Douaud; C E Mackay; S Knight; K Talbot; M R Turner
Journal:  Neurology       Date:  2010-11-02       Impact factor: 9.910

7.  Impaired cognitive flexibility in amyotrophic lateral sclerosis.

Authors:  Jessica Evans; Christopher Olm; Leo McCluskey; Lauren Elman; Ashley Boller; Eileen Moran; Katya Rascovsky; Teagan Bisbing; Corey T McMillan; Murray Grossman
Journal:  Cogn Behav Neurol       Date:  2015-03       Impact factor: 1.600

8.  Delineation of the middle longitudinal fascicle in humans: a quantitative, in vivo, DT-MRI study.

Authors:  Nikos Makris; George M Papadimitriou; Jonathan R Kaiser; Scott Sorg; David N Kennedy; Deepak N Pandya
Journal:  Cereb Cortex       Date:  2008-07-31       Impact factor: 5.357

9.  Motor network degeneration in amyotrophic lateral sclerosis: a structural and functional connectivity study.

Authors:  Esther Verstraete; Martijn P van den Heuvel; Jan H Veldink; Niels Blanken; René C Mandl; Hilleke E Hulshoff Pol; Leonard H van den Berg
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

10.  Impaired action knowledge in amyotrophic lateral sclerosis.

Authors:  M Grossman; C Anderson; A Khan; B Avants; L Elman; L McCluskey
Journal:  Neurology       Date:  2008-09-10       Impact factor: 9.910

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.