INTRODUCTION: Gray matter (GM) atrophy is common in multiple sclerosis (MS), but the relationship with white matter (WM) pathology is largely unknown. Some studies found a co-occurrence in specific systems, but a regional analysis across the brain in different clinical phenotypes is necessary to further understand the disease mechanism underlying GM atrophy in MS. Therefore, we investigated the association between regional GM atrophy and pathology in anatomically connected WM tracts. METHODS: Conventional and diffusion tensor imaging was performed at 3T in 208 patients with long-standing MS and 60 healthy controls. Deep and cortical GM regions were segmented and quantified, and both lesion volumes and average normal appearing WM fractional anisotropy of their associated tracts were derived using an atlas obtained by probabilistic tractography in the controls. Linear regression was then performed to quantify the amount of regional GM atrophy that can be explained by WM pathology in the connected tract. RESULTS: MS patients showed extensive deep and cortical GM atrophy. Cortical atrophy was particularly present in frontal and temporal regions. Pathology in connected WM tracts statistically explained both regional deep and cortical GM atrophy in relapsing-remitting (RR) patients, but only deep GM atrophy in secondary-progressive (SP) patients. CONCLUSION: In RRMS patients, both deep and cortical GM atrophy were associated with pathology in connected WM tracts. In SPMS patients, only regional deep GM atrophy could be explained by pathology in connected WM tracts. This suggests that in SPMS patients cortical GM atrophy and WM damage are (at least partly) independent disease processes.
INTRODUCTION: Gray matter (GM) atrophy is common in multiple sclerosis (MS), but the relationship with white matter (WM) pathology is largely unknown. Some studies found a co-occurrence in specific systems, but a regional analysis across the brain in different clinical phenotypes is necessary to further understand the disease mechanism underlying GM atrophy in MS. Therefore, we investigated the association between regional GM atrophy and pathology in anatomically connected WM tracts. METHODS: Conventional and diffusion tensor imaging was performed at 3T in 208 patients with long-standing MS and 60 healthy controls. Deep and cortical GM regions were segmented and quantified, and both lesion volumes and average normal appearing WM fractional anisotropy of their associated tracts were derived using an atlas obtained by probabilistic tractography in the controls. Linear regression was then performed to quantify the amount of regional GM atrophy that can be explained by WM pathology in the connected tract. RESULTS: MS patients showed extensive deep and cortical GM atrophy. Cortical atrophy was particularly present in frontal and temporal regions. Pathology in connected WM tracts statistically explained both regional deep and cortical GM atrophy in relapsing-remitting (RR) patients, but only deep GM atrophy in secondary-progressive (SP) patients. CONCLUSION: In RRMS patients, both deep and cortical GM atrophy were associated with pathology in connected WM tracts. In SPMS patients, only regional deep GM atrophy could be explained by pathology in connected WM tracts. This suggests that in SPMS patientscortical GM atrophy and WM damage are (at least partly) independent disease processes.
Authors: Rahul S Desikan; Florent Ségonne; Bruce Fischl; Brian T Quinn; Bradford C Dickerson; Deborah Blacker; Randy L Buckner; Anders M Dale; R Paul Maguire; Bradley T Hyman; Marilyn S Albert; Ronald J Killiany Journal: Neuroimage Date: 2006-03-10 Impact factor: 6.556
Authors: Martijn D Steenwijk; Marita Daams; Petra J W Pouwels; Lisanne J Balk; Prejaas K Tewarie; Joep Killestein; Bernard M J Uitdehaag; Jeroen J G Geurts; Frederik Barkhof; Hugo Vrenken Journal: Radiology Date: 2014-04-23 Impact factor: 11.105
Authors: Mark Mühlau; Dorothea Buck; Annette Förschler; Christine C Boucard; Milan Arsic; Paul Schmidt; Christian Gaser; Achim Berthele; Muna Hoshi; Angela Jochim; Helena Kronsbein; Claus Zimmer; Bernhard Hemmer; Rüdiger Ilg Journal: Mult Scler Date: 2013-03-05 Impact factor: 6.312
Authors: Margit Jehna; Christian Langkammer; Michael Khalil; Siegrid Fuchs; Gernot Reishofer; Franz Fazekas; Franz Ebner; Christian Enzinger Journal: Brain Connect Date: 2013-05-07
Authors: Ludwig Kappos; Mark S Freedman; Chris H Polman; Gilles Edan; Hans-Peter Hartung; David H Miller; Xavier Montalbán; Frederik Barkhof; Ernst-Wilhelm Radü; Lars Bauer; Susanne Dahms; Vivian Lanius; Christoph Pohl; Rupert Sandbrink Journal: Lancet Date: 2007-08-04 Impact factor: 79.321
Authors: Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas Journal: Nat Rev Neurol Date: 2015-11-03 Impact factor: 42.937
Authors: Eldar Eftekhari; Seyed-Parsa Hojjat; Rita Vitorino; Timothy J Carroll; Charles Grady Cantrell; Liesly Lee; Matthew W Taylor; Sarah A Morrow; Haddas Benhabib; Richard I Aviv; Andrea Kassner Journal: Neuroradiology Date: 2017-06-16 Impact factor: 2.804
Authors: Paolo Preziosa; Elisabetta Pagani; Sarlota Mesaros; Gianna C Riccitelli; Jelena Dackovic; Jelena Drulovic; Massimo Filippi; Maria A Rocca Journal: Hum Brain Mapp Date: 2017-08-09 Impact factor: 5.038
Authors: N Bergsland; D Ramasamy; E Tavazzi; D Hojnacki; B Weinstock-Guttman; R Zivadinov Journal: AJNR Am J Neuroradiol Date: 2019-03-14 Impact factor: 3.825
Authors: Jan-Mendelt Tillema; Stephen D Weigand; Jay Mandrekar; Yunhong Shu; Claudia F Lucchinetti; Istvan Pirko; John D Port Journal: Mult Scler Date: 2016-10-03 Impact factor: 6.312
Authors: Céline Louapre; Sindhuja T Govindarajan; Costanza Giannì; Julien Cohen-Adad; Michael D Gregory; A Scott Nielsen; Nancy Madigan; Jacob A Sloane; Revere P Kinkel; Caterina Mainero Journal: Radiology Date: 2015-09-02 Impact factor: 11.105
Authors: A D Mulholland; R Vitorino; S-P Hojjat; A Y Ma; L Zhang; L Lee; T J Carroll; C G Cantrell; C R Figley; R I Aviv Journal: AJNR Am J Neuroradiol Date: 2017-11-02 Impact factor: 3.825