ArticleThe neuroradiology journal2015
Brain MR diffusion tensor imaging in Kennedy's disease.
Article in The neuroradiology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Central neurodegeneration in Kennedy's disease accompanies peripheral motor dysfunction.Scientific reports · 2024Article
- Neuroimaging findings in leukoencephalopathy with calcifications and cysts: case report and review of the literature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Review
- Frontotemporal Pathology in Motor Neuron Disease Phenotypes: Insights From Neuroimaging.Frontiers in neurology · 2021Review
- Brain MRI shows white matter sparing in Kennedy's disease and slow-progressing lower motor neuron disease.Human brain mapping · 2019Article
- Amyotrophic Lateral Sclerosis and its Mimics/Variants: A Comprehensive Review.Journal of clinical imaging science · 2018Review
- DR-TAMAS: Diffeomorphic Registration for Tensor Accurate Alignment of Anatomical Structures.NeuroImage · 2016Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionKennedy's disease (KD) is a progressive degenerative disorder affecting lower motor neurons. We investigated the correlation between disease severity and whole brain white matter microstructure, including upper motor neuron tracts, by using diffusion-tensor imaging (DTI) in eight patients with KD in whom disease severity was evaluated using the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS).
methodsFrom DTI acquisitions we obtained maps of fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (L1) and radial diffusivities (L2, L3). We then employed tract-based spatial statistics (TBSS) to investigate within-patient correlations of DTI invariants with ALSFRS and disease duration (DD).
resultsWe found a significant correlation between low ALSFRS and 1) low FA values in association commissural and projection fibers, and 2) high L3 values in commissural tracts and fronto-parietal white matter. Additionally, we found a significant association between longer DD and 1) low FA in the genu and body of corpus callosum, association fibers and midbrain and 2) high L1 in projection and association tracts.
conclusionsThe associations between clinical variables and white matter microstructural changes in areas thought to be spared by the disease process support the hypothesis of a multisystem involvement in the complex pathogenic mechanisms responsible for the clinical disability of these patients.
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