Literature DB >> 20740643

Cognitive impairment in multiple sclerosis is associated to different patterns of gray matter atrophy according to clinical phenotype.

Gianna Riccitelli1, Maria A Rocca, Elisabetta Pagani, Maria E Rodegher, Paolo Rossi, Andrea Falini, Giancarlo Comi, Massimo Filippi.   

Abstract

OBJECTIVE: To investigate whether cognitive impairment in multiple sclerosis (MS) patients is associated to different patterns of gray matter (GM) atrophy and T2-visible lesion distribution according to the clinical phenotype. EXPERIMENTAL
DESIGN: Twenty-two relapsing remitting (RR), 29 secondary progressive (SP), and 22 primary progressive (PP) MS patients, and 39 healthy controls underwent high-field structural magnetic resonance imaging and an extensive neuropsychological battery. Voxel-wise distribution of GM damage and T2-lesions was compared between cognitively impaired (CI) and cognitively preserved (CP) patients according to their clinical phenotype. PRINCIPAL OBSERVATIONS: Thirty-nine MS patients were CI. In all MS groups, regional GM loss was correlated with cognitive impairment. Different patterns of regional distribution of GM atrophy and T2-visible lesions were found between CI vs. CP MS patients, according to their clinical phenotype. No areas were significantly more atrophied in CI SPMS vs. CI RRMS patients. Conversely, compared with CI PPMS, CI SPMS patients had a significant GM loss in several regions of the fronto-temporal lobes, the left hypothalamus and thalami. While in RRMS and SPMS patients there was a correspondence between presence of T2 visible lesions and GM atrophy in several areas, this was not the case in PPMS patients.
CONCLUSION: Distinct patterns of regional distribution of GM damage and T2-visible lesions are associated with cognitive impairment in MS patients with different clinical phenotypes. The correspondence between lesion formation and GM atrophy distribution varies in the different forms of MS.
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20740643      PMCID: PMC6870304          DOI: 10.1002/hbm.21125

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  34 in total

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