title: Spatiotemporal distribution pattern of white matter lesion volumes and their association with regional grey matter volume reductions in relapsing-remitting multiple sclerosis.
abstract: The association of white matter (WM) lesions and grey matter (GM) atrophy is a feature in relapsing-remitting multiple sclerosis (RRMS). The spatiotemporal distribution pattern of WM lesions, their relations to regional GM changes and the underlying dynamics are unclear. Here we combined parametric and non-parametric voxel-based morphometry (VBM) to clarify these issues. MRI data from RRMS patients with progressive (PLV, n = 45) and non-progressive WM lesion volumes (NPLV, n = 44) followed up for 12 months were analysed. Cross-sectionally, the spatial WM lesion distribution was compared using lesion probability maps (LPMs). Longitudinally, WM lesions and GM volumes were studied using FSL-VBM and SPM5-VBM, respectively. WM lesions clustered around the lateral ventricles and in the centrum semiovale with a more widespread pattern in the PLV than in the NPLV group. The maximum local probabilities were similar in both groups and higher for T2 lesions (PLV: 27%, NPLV: 25%) than for T1 lesions (PLV: 15%, NPLV 14%). Significant WM lesion changes accompanied by cortical GM volume reductions occurred in the corpus callosum and optic radiations (P = 0.01 corrected), and more liberally tested (uncorrected P < 0.01) in the inferior fronto-occipital and longitudinal fasciculi, and corona radiata in the PLV group. Not any WM or GM changes were found in the NPLV group. In the PLV group, WM lesion distribution and development in fibres, was associated with regional GM volume loss. The different spatiotemporal distribution patterns of patients with progressive compared to patients with non-progressive WM lesions suggest differences in the dynamics of pathogenesis.
authors.affiliation: Medical Image Analysis Center, University Hospital Basel, CH-4031 Basel, Switzerland.
authors.forename: Kerstin
authors.initials: K
authors.lastname: Bendfeldt
authors.forename: Jan Ole
authors.initials: JO
authors.lastname: Blumhagen
authors.forename: Hanspeter
authors.initials: H
authors.lastname: Egger
authors.forename: Patrick
authors.initials: P
authors.lastname: Loetscher
authors.forename: Niklaus
authors.initials: N
authors.lastname: Denier
authors.forename: Pascal
authors.initials: P
authors.lastname: Kuster
authors.forename: Stefan
authors.initials: S
authors.lastname: Traud
authors.forename: Nicole
authors.initials: N
authors.lastname: Mueller-Lenke
authors.forename: Yvonne
authors.initials: Y
authors.lastname: Naegelin
authors.forename: Achim
authors.initials: A
authors.lastname: Gass
authors.forename: Jochen
authors.initials: J
authors.lastname: Hirsch
authors.forename: Ludwig
authors.initials: L
authors.lastname: Kappos
authors.forename: Thomas E
authors.initials: TE
authors.lastname: Nichols
authors.forename: Ernst-Wilhelm
authors.initials: EW
authors.lastname: Radue
authors.forename: Stefan J
authors.initials: SJ
authors.lastname: Borgwardt
mesh_terms: D000328:Adult; D001284:Atrophy; D016022:Case-Control Studies; D002540:Cerebral Cortex / Q000473:pathology*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008875:Middle Aged; D020529:Multiple Sclerosis, Relapsing-Remitting / Q000473:pathology*; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D009929:Organ Size; D013997:Time Factors