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Induction of Paralysis and Visual System Injury in Mice by T Cells Specific for Neuromyelitis Optica Autoantigen Aquaporin-4
Published on: August 21, 2017
Cervical cord and ventricle affection in neuromyelitis optica
R Schneider1, B Bellenberg2, I Kleiter1
1Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany.
Cervical cord atrophy and third ventricle enlargement significantly impact disability in neuromyelitis optica (NMO). Ventricle volumetry reveals distinct periventricular involvement differences between NMO and multiple sclerosis (MS).
Area of Science:
- Neuroimmunology
- Neuroimaging
- Neurology
Background:
- Cervical cord involvement is frequent in neuromyelitis optica (NMO) and multiple sclerosis (MS).
- The impact of cervical cord lesions on disability in NMO is understudied.
- Previous NMO research focused on periventricular regions but lacked ventricle volumetry.
Purpose of the Study:
- To compare cervical cord atrophy and ventricular changes between NMO and MS patients.
- To assess supra- and infratentorial brain measures in NMO versus MS.
- To determine the impact of these neuroimaging findings on clinical disability.
Main Methods:
- Magnet resonance imaging-based volumetry was used for the cervical cord, ventricles, grey matter, white matter, brainstem, and cerebellum.
- 18 NMO patients, 20 MS patients, and 26 healthy controls were included.
- Voxel-based morphometry analyzed cerebrospinal fluid patterns for ventricular widening.
Main Results:
- Cervical cord atrophy was similar in NMO and MS patients.
- Both groups showed third ventricle enlargement; MS additionally exhibited fourth ventricle widening.
- In NMO, disability correlated with cervical cord area and third ventricle volume; in MS, it correlated with grey matter and fourth ventricle volume.
Conclusions:
- Cervical cord atrophy and third ventricle enlargement are clinically significant in NMO.
- Ventricle volumetry highlights differing periventricular structural involvement between NMO and MS.
- Neuroimaging metrics provide insights into disease-specific disability pathways.
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