title: Statistical mapping analysis of lesion location and neurological disability in multiple sclerosis: application to 452 patient data sets.
abstract: In multiple sclerosis (MS), the correlation between disability and the volume of white matter lesions on magnetic resonance imaging (MRI) is usually weak. This may be because lesion location also influences the extent and type of functional disability. We applied an automatic lesion-detection algorithm to 452 MRI scans of patients with relapsing-remitting MS to identify the regions preferentially responsible for different types of clinical deficits. Statistical parametric maps were generated by performing voxel-wise linear regressions between lesion probability and different clinical disability scores. There was a clear distinction between lesion locations causing physical and cognitive disability. Lesion likelihood correlated with the Expanded Disability Status Scale (EDSS) in the left internal capsule and in periventricular white matter mostly in the left hemisphere. Pyramidal deficits correlated with only one area in the left internal capsule that was also present in the EDSS correlation. Cognitive dysfunction correlated with lesion location at the grey-white junction of associative, limbic, and prefrontal cortex. Coordination impairment correlated with areas in interhemispheric and pyramidal periventricular white matter tracts, and in the inferior and superior longitudinal fascicles. Bowel and bladder scores correlated with lesions in the medial frontal lobes, cerebellum, insula, dorsal midbrain, and pons, areas known to be involved in the control of micturition. This study demonstrates for the first time a relationship between the site of lesions and the type of disability in large scale MRI data set in MS.
authors.affiliation: McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Canada.
authors.forename: Arnaud
authors.initials: A
authors.lastname: Charil
authors.forename: Alex P
authors.initials: AP
authors.lastname: Zijdenbos
authors.forename: Jonathan
authors.initials: J
authors.lastname: Taylor
authors.forename: Cyrus
authors.initials: C
authors.lastname: Boelman
authors.forename: Keith J
authors.initials: KJ
authors.lastname: Worsley
authors.forename: Alan C
authors.initials: AC
authors.lastname: Evans
authors.forename: Alain
authors.initials: A
authors.lastname: Dagher
mesh_terms: D000328:Adult; D000465:Algorithms; D001931:Brain Mapping; D001933:Brain Stem / Q000473:pathology / Q000502:physiology; D003071:Cognition / Q000502:physiology; D004064:Digestive System / Q000473:pathology; D004068:Digestive System Physiological Phenomena; D004185:Disability Evaluation; D018450:Disease Progression; D005260:Female; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D020529:Multiple Sclerosis, Relapsing-Remitting / Q000473:pathology*; D011712:Pyramidal Tracts / Q000473:pathology / Q000502:physiology; D013238:Stereotaxic Techniques; D001743:Urinary Bladder / Q000473:pathology / Q000502:physiology