J M Tillema1, H E Hulst2, M A Rocca3, H Vrenken4, M D Steenwijk5, D Damjanovic6, C Enzinger7, S Ropele7, G Tedeschi8, A Gallo8, O Ciccarelli9, A Rovira10, X Montalban11, N de Stefano12, M L Stromillo12, M Filippi3, F Barkhof13. 1. Department of Neurology, Mayo Clinic, USA/Department of Radiology and Nuclear Medicine, VU University Medical Center, The Netherlands. 2. Department of Anatomy and Neurosciences, VU University Medical Center, The Netherlands. 3. Neuroimaging Research Unit, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Italy/Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Italy. 4. Department of Radiology and Nuclear Medicine, VU University Medical Center, The Netherlands/Department of Physics and Medical Technology, VU University Medical Center, The Netherlands. 5. Department of Radiology and Nuclear Medicine, VU University Medical Center, The Netherlands. 6. Neuroimaging Research Unit, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Italy. 7. Department of Neurology and Division of Neuroradiology, Department of Radiology, Medical University of Graz, Austria. 8. MRI Center "SUN-FISM," Second University of Naples and Institute of Diagnosis and Care "Hermitage-Capodimonte," Italy/Division of Neurology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Italy. 9. NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, UK/National Institute for Health Research (NIHR) University College London Hospital (UCLH) Biomedical Research Centre (BRC). 10. Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Spain/Unitat de Neuroimmunologia Clinica, CEM-Cat, Hospital Universitari Vall d'Hebron, Spain. 11. Unitat de Neuroimmunologia Clinica, CEM-Cat, Hospital Universitari Vall d'Hebron, Spain. 12. Department of Medicine, Surgery and Neurosciences, University of Siena, Italy. 13. Department of Radiology and Nuclear Medicine, VU University Medical Center, The Netherlands f.barkhof@vumc.nl.
Abstract
OBJECTIVES: The objectives of this paper are to compare in a multicenter setting patterns of regional cortical thickness in patients with relapsing-remitting multiple sclerosis (RRMS) and cognitive impairment (CI) and those cognitively preserved (CP), and explore the relationship between cortical thinning and cognitive performance. METHODS: T1-weighted isotropic brain scans were collected at 3T from seven European centers in 60 RRMS patients and 65 healthy controls (HCs). Patients underwent clinical and neuropsychological examinations. Cortical thickness (CTh) measures were calculated using FreeSurfer (failing in four) and both lobar and vertex-based general linear model (GLM) analyses were compared between study groups. RESULTS: Twenty (36%) MS patients were classified as CI. Mean global CTh was smaller in RRMS patients compared to HCs (left 2.43 vs. 2.53 mm, right 2.44 vs. 2.54 mm, p < 0.001). Multivariate GLM regional analysis showed significantly more temporal thinning in CI compared to CP patients. Verbal memory scores correlated to regional cortical thinning in the insula whereas visual memory scores correlated to parietal thinning. CONCLUSIONS: This multicenter study showed mild global cortical thinning in RRMS. The extent of thinning is less pronounced than previously reported. Only subtle regional differences between CI and CP patients were observed, some of which related to specific cognitive domains.
OBJECTIVES: The objectives of this paper are to compare in a multicenter setting patterns of regional cortical thickness in patients with relapsing-remitting multiple sclerosis (RRMS) and cognitive impairment (CI) and those cognitively preserved (CP), and explore the relationship between cortical thinning and cognitive performance. METHODS: T1-weighted isotropic brain scans were collected at 3T from seven European centers in 60 RRMS patients and 65 healthy controls (HCs). Patients underwent clinical and neuropsychological examinations. Cortical thickness (CTh) measures were calculated using FreeSurfer (failing in four) and both lobar and vertex-based general linear model (GLM) analyses were compared between study groups. RESULTS: Twenty (36%) MS patients were classified as CI. Mean global CTh was smaller in RRMS patients compared to HCs (left 2.43 vs. 2.53 mm, right 2.44 vs. 2.54 mm, p < 0.001). Multivariate GLM regional analysis showed significantly more temporal thinning in CI compared to CP patients. Verbal memory scores correlated to regional cortical thinning in the insula whereas visual memory scores correlated to parietal thinning. CONCLUSIONS: This multicenter study showed mild global cortical thinning in RRMS. The extent of thinning is less pronounced than previously reported. Only subtle regional differences between CI and CP patients were observed, some of which related to specific cognitive domains.
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: D Damjanovic; P Valsasina; M A Rocca; M L Stromillo; A Gallo; C Enzinger; H E Hulst; A Rovira; N Muhlert; N De Stefano; A Bisecco; F Fazekas; M J Arévalo; T A Yousry; M Filippi Journal: AJNR Am J Neuroradiol Date: 2016-09-29 Impact factor: 3.825
Authors: Christina Engl; Laura Tiemann; Sophia Grahl; Matthias Bussas; Paul Schmidt; Viola Pongratz; Achim Berthele; Annkathrin Beer; Christian Gaser; Jan S Kirschke; Claus Zimmer; Bernhard Hemmer; Mark Mühlau Journal: J Neurol Date: 2020-04-23 Impact factor: 4.849
Authors: Christian Rummel; Fabian Aschwanden; Richard McKinley; Franca Wagner; Anke Salmen; Andrew Chan; Roland Wiest Journal: Front Neurol Date: 2018-01-24 Impact factor: 4.003