Journal article
Voxel-based MRI intensitometry reveals extent of cerebral white matter pathology in amyotrophic lateral sclerosis
- Abstract:
- Amyotrophic lateral sclerosis (ALS) is characterized by progressive loss of upper and lower motor neurons. Advanced MRI techniques such as diffusion tensor imaging have shown great potential in capturing a common white matter pathology. However the sensitivity is variable and diffusion tensor imaging is not yet applicable to the routine clinical environment. Voxel-based morphometry (VBM) has revealed grey matter changes in ALS, but the bias-reducing algorithms inherent to traditional VBM are not optimized for the assessment of the white matter changes. We have developed a novel approach to white matter analysis, namely voxel-based intensitometry (VBI). High resolution T1-weighted MRI was acquired at 1.5 Tesla in 30 ALS patients and 37 age-matched healthy controls. VBI analysis at the group level revealed widespread white matter intensity increases in the corticospinal tracts, corpus callosum, sub-central, frontal and occipital white matter tracts and cerebellum. VBI results correlated with disease severity (ALSFRS-R) and patterns of cerebral involvement differed between bulbar- and limb-onset. VBI would be easily translatable to the routine clinical environment, and once optimized for individual analysis offers significant biomarker potential in ALS.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1371/journal.pone.0104894
Authors
- Publisher:
- Public Library of Science
- Journal:
- PloS ONE More from this journal
- Volume:
- 9
- Issue:
- 8
- Pages:
- ARTN e104894
- Publication date:
- 2014-08-18
- Acceptance date:
- 2014-07-17
- DOI:
- EISSN:
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1932-6203
- ISSN:
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1932-6203
- Language:
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English
- Keywords:
- Pubs id:
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pubs:482183
- UUID:
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uuid:f795959b-c5ea-40ed-a62e-0f3541cc4aea
- Local pid:
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pubs:482183
- Source identifiers:
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482183
- Deposit date:
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2014-09-14
- ARK identifier:
Terms of use
- Copyright holder:
- Hartung et al
- Copyright date:
- 2014
- Notes:
- Copyright: © 2014 Hartung et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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