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.
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.
Authors: G Pontillo; S Cocozza; R Lanzillo; C Russo; M D Stasi; C Paolella; E A Vola; C Criscuolo; P Borrelli; G Palma; E Tedeschi; V B Morra; A Elefante; A Brunetti Journal: AJNR Am J Neuroradiol Date: 2018-12-20 Impact factor: 3.825
Authors: Noriko Isobe; Anisha Keshavan; Pierre-Antoine Gourraud; Alyssa H Zhu; Esha Datta; Regina Schlaeger; Stacy J Caillier; Adam Santaniello; Antoine Lizée; Daniel S Himmelstein; Sergio E Baranzini; Jill Hollenbach; Bruce A C Cree; Stephen L Hauser; Jorge R Oksenberg; Roland G Henry Journal: JAMA Neurol Date: 2016-07-01 Impact factor: 18.302
Authors: Martijn D Steenwijk; Marita Daams; Petra J W Pouwels; Lisanne J Balk; Prejaas K Tewarie; Jeroen J G Geurts; Frederik Barkhof; Hugo Vrenken Journal: Hum Brain Mapp Date: 2015-01-27 Impact factor: 5.038
Authors: Maria A Rocca; Marco Battaglini; Ralph H B Benedict; Nicola De Stefano; Jeroen J G Geurts; Roland G Henry; Mark A Horsfield; Mark Jenkinson; Elisabetta Pagani; Massimo Filippi Journal: Neurology Date: 2016-12-16 Impact factor: 9.910
Authors: A Beer; V Biberacher; P Schmidt; R Righart; D Buck; A Berthele; J Kirschke; C Zimmer; B Hemmer; M Mühlau Journal: J Neurol Date: 2016-05-13 Impact factor: 4.849