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White-matter lesions drive deep gray-matter atrophy in early multiple sclerosis: support from structural MRI
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vor 10 Jahren
Background: In MS, the relationship between lesions within cerebral
white matter (WM) and atrophy within deep gray matter (GM) is
unclear. Objective: To investigate the spatial relationship between
WM lesions and deep GM atrophy. Methods: We performed a
cross-sectional structural magnetic resonance imaging (MRI) study
(3 Tesla) in 249 patients with clinically-isolated syndrome or
relapsing-remitting MS (Expanded Disability Status Scale score:
median, 1.0; range, 0-4) and in 49 healthy controls. Preprocessing
of T1-weighted and fluid-attenuated T2-weighted images resulted in
normalized GM images and WM lesion probability maps. We performed
two voxel-wise analyses: 1. We localized GM atrophy and confirmed
that it is most pronounced within deep GM; 2. We searched for a
spatial relationship between WM lesions and deep GM atrophy; to
this end we analyzed WM lesion probability maps by voxel-wise
multiple regression, including four variables derived from maxima
of regional deep GM atrophy (caudate and pulvinar, each left and
right). Results: Atrophy of each deep GM region was explained by
ipsilateral WM lesion probability, in the area most densely
connected to the respective deep GM region. Conclusion: We
demonstrated that WM lesions and deep GM atrophy are spatially
related. Our results are best compatible with the hypothesis that
WM lesions contribute to deep GM atrophy through axonal pathology.
white matter (WM) and atrophy within deep gray matter (GM) is
unclear. Objective: To investigate the spatial relationship between
WM lesions and deep GM atrophy. Methods: We performed a
cross-sectional structural magnetic resonance imaging (MRI) study
(3 Tesla) in 249 patients with clinically-isolated syndrome or
relapsing-remitting MS (Expanded Disability Status Scale score:
median, 1.0; range, 0-4) and in 49 healthy controls. Preprocessing
of T1-weighted and fluid-attenuated T2-weighted images resulted in
normalized GM images and WM lesion probability maps. We performed
two voxel-wise analyses: 1. We localized GM atrophy and confirmed
that it is most pronounced within deep GM; 2. We searched for a
spatial relationship between WM lesions and deep GM atrophy; to
this end we analyzed WM lesion probability maps by voxel-wise
multiple regression, including four variables derived from maxima
of regional deep GM atrophy (caudate and pulvinar, each left and
right). Results: Atrophy of each deep GM region was explained by
ipsilateral WM lesion probability, in the area most densely
connected to the respective deep GM region. Conclusion: We
demonstrated that WM lesions and deep GM atrophy are spatially
related. Our results are best compatible with the hypothesis that
WM lesions contribute to deep GM atrophy through axonal pathology.
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