BACKGROUND: Although cognitive dysfunction affects a relevant portion of patients with multiple sclerosis (MS), its pathologic substrate has not been clarified and it does not seem entirely explained by white matter changes. METHODS: A total of 100 consecutive patients with relapsing remitting MS (RRMS) and 42 normal controls (NC) were enrolled in the study. Cognitive performance was assessed by Rao's Brief Repeatable Battery of Neuropsychological Tests (BRB). Regional cortical thickness (CTh) was evaluated by Freesurfer. RESULTS: Thirty-one patients with RRMS failed 1 or 2 tests of BRB and were considered to have a mild cognitive impairment (mCI-RRMS), while 8 patients failed at least 3 tests and were classified as markedly impaired (sCI-RRMS). The mean CTh of mCI-RRMS and sCI-RRMS group was significantly lower than in NC (p < 0.001) and cognitively normal patients with RRMS (CN-RRMS) (p < 0.001). The regional analysis revealed significant cortical thinning in frontal and temporal regions (frontotemporal thinning) of CN-RRMS compared to NC, while a widespread pattern of cortical thinning was observed in mCI-RRMS and in sCI-RRMS compared to both CN-RRMS and NC. A correlation was observed between cognitive score (CS) and the mean CTh (r = -0.69, p < 0.001) and between CS and CTh of almost all the cortical areas analyzed (r value between -0.20 and -0.65, p < 0.01). A correlation was found between T2-WM-LV and mean CTh (r = -0.31, p = 0.004) or CS (r = 0.21, p = 0.031). The multivariate analysis confirmed a widespread cortical thinning as the best predictor of cognitive impairment. CONCLUSIONS: A widespread pattern of cortical thinning characterizes patients with cognitive dysfunction, suggesting such dysfunction as expression of a more aggressive and widespread cortical pathology.
BACKGROUND: Although cognitive dysfunction affects a relevant portion of patients with multiple sclerosis (MS), its pathologic substrate has not been clarified and it does not seem entirely explained by white matter changes. METHODS: A total of 100 consecutive patients with relapsing remitting MS (RRMS) and 42 normal controls (NC) were enrolled in the study. Cognitive performance was assessed by Rao's Brief Repeatable Battery of Neuropsychological Tests (BRB). Regional cortical thickness (CTh) was evaluated by Freesurfer. RESULTS: Thirty-one patients with RRMS failed 1 or 2 tests of BRB and were considered to have a mild cognitive impairment (mCI-RRMS), while 8 patients failed at least 3 tests and were classified as markedly impaired (sCI-RRMS). The mean CTh of mCI-RRMS and sCI-RRMS group was significantly lower than in NC (p < 0.001) and cognitively normal patients with RRMS (CN-RRMS) (p < 0.001). The regional analysis revealed significant cortical thinning in frontal and temporal regions (frontotemporal thinning) of CN-RRMS compared to NC, while a widespread pattern of cortical thinning was observed in mCI-RRMS and in sCI-RRMS compared to both CN-RRMS and NC. A correlation was observed between cognitive score (CS) and the mean CTh (r = -0.69, p < 0.001) and between CS and CTh of almost all the cortical areas analyzed (r value between -0.20 and -0.65, p < 0.01). A correlation was found between T2-WM-LV and mean CTh (r = -0.31, p = 0.004) or CS (r = 0.21, p = 0.031). The multivariate analysis confirmed a widespread cortical thinning as the best predictor of cognitive impairment. CONCLUSIONS: A widespread pattern of cortical thinning characterizes patients with cognitive dysfunction, suggesting such dysfunction as expression of a more aggressive and widespread cortical pathology.
Authors: Navid Shiee; Pierre-Louis Bazin; Jennifer L Cuzzocreo; Chuyang Ye; Bhaskar Kishore; Aaron Carass; Peter A Calabresi; Daniel S Reich; Jerry L Prince; Dzung L Pham Journal: Hum Brain Mapp Date: 2013-12-31 Impact factor: 5.038
Authors: Jeffrey Wilken; Robert L Kane; Cynthia L Sullivan; Mark Gudesblatt; Sylvia Lucas; Robert Fallis; Xiaojun You; Pam Foulds Journal: Int J MS Care Date: 2013
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Authors: A Vidal-Jordana; D Pareto; J Sastre-Garriga; C Auger; E Ciampi; X Montalban; A Rovira Journal: AJNR Am J Neuroradiol Date: 2016-11-24 Impact factor: 3.825
Authors: Gianna Riccitelli; Maria A Rocca; Elisabetta Pagani; Maria E Rodegher; Paolo Rossi; Andrea Falini; Giancarlo Comi; Massimo Filippi Journal: Hum Brain Mapp Date: 2010-08-25 Impact factor: 5.038