Voxel-Based MRI Intensitometry Reveals Extent of Cerebral White Matter Pathology in Amyotrophic Lateral Sclerosis

2014 | Zeitschriftenartikel. Eine Publikation mit Affiliation zur Georg-August-Universität Göttingen.

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​Voxel-Based MRI Intensitometry Reveals Extent of Cerebral White Matter Pathology in Amyotrophic Lateral Sclerosis​
Hartung, V.; Prell, T.; Gaser, C.; Turner, M. R.; Tietz, F.; Ilse, B. & Bokemeyer, M. u.a.​ (2014) 
PLoS ONE9(8) art. e104894​.​ DOI: https://doi.org/10.1371/journal.pone.0104894 

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Autor(en)
Hartung, Viktor; Prell, Tino; Gaser, Christian; Turner, Martin R.; Tietz, Florian; Ilse, Benjamin; Bokemeyer, Martin; Witte, Otto-Wilhelm; Grosskreutz, Julian
Zusammenfassung
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.
Erscheinungsdatum
2014
Status
published
Herausgeber
Public Library Science
Zeitschrift
PLoS ONE 
ISSN
1932-6203

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