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Journal ArticleDOI

Neocortical volume decrease in relapsing–remitting MS patients with mild cognitive impairment

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TLDR
Cortical atrophy was found only in cognitively impaired patients and was significantly correlated with a poorer performance on tests of verbal memory, attention/concentration, and verbal fluency.
Abstract
Objective: To assess neocortical changes and their relevance to cognitive impairment in early relapsing–remitting (RR) multiple sclerosis (MS). Methods: Conventional MR was acquired in 41 patients with RR MS and 16 demographically matched normal control subjects (NCs). An automated analysis tool was used with conventional T1-weighted MRI to obtain measures of cortical brain volumes normalized for head size. Neuropsychological performance of MS patients was assessed using the Rao Brief Repeatable Battery. Relationship between volumetric MR measures and neuropsychological scores was assessed. Results: Neuropsychological assessment allowed for the identification of 18 cognitively preserved (MS-cp) and 23 cognitively impaired (MS-ci) MS patients. The whole MS sample showed lower values of normalized cortical volumes (NCVs) than did the NC group ( p = 0.01). Upon grouping of MS patients according to cognitive performance, NCV values were lower ( p = 0.02) in MS-ci patients than in both MS-cp patients and NCs. Moreover, there were positive correlations between NCV values and measures of verbal memory ( r = 0.51, p = 0.02), verbal fluency ( r = 0.51, p = 0.01), and attention/concentration ( r = 0.65, p r = −0.58, p Conclusions: Cortical atrophy was found only in cognitively impaired patients and was significantly correlated with a poorer performance on tests of verbal memory, attention/concentration, and verbal fluency. Gray matter pathology may contribute to the development of cognitive impairment in MS from the earliest stages of the disease.

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Journal ArticleDOI

Cognitive impairment in multiple sclerosis

TL;DR: The increased use of neuroimaging techniques in patients with MS has advanced the understanding of structural and functional changes in the brain that are characteristic of this disease, although much remains to be learned.
Journal ArticleDOI

Cognitive dysfunction in multiple sclerosis.

TL;DR: The cognitive domains most commonly impaired in MS (memory, attention, executive functions, speed of information processing, and visual–spatial abilities); the pathophysiological mechanism implied in MS cognitive dysfunction and correlated brain MRI features; the importance of neuropsychological assessment of MS patients in different stages of the disease and the influence of its course on cognitive performance.
Journal ArticleDOI

Grey matter pathology in multiple sclerosis.

TL;DR: This paper reviewed several exciting new hypotheses on grey matter pathogenesis, including meningeal inflammation as a cause of subpial cortical damage, but also selective vulnerability of neuronal subpopulations, growth factor dysregulation, glutamate excitotoxicity, mitochondrial abnormalities, and the "use-it-and-lose-it" principle.
Journal ArticleDOI

Multiple sclerosis-related cognitive changes: a review of cross-sectional and longitudinal studies.

TL;DR: There are consistent, albeit moderate, correlations between the progression of cognitive impairment and increasing brain lesion load and brain atrophy in MS, and among clinical predictors, incipient cognitive decline seems to be the major risk factor for further deterioration in the short-term.
References
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Journal ArticleDOI

Rating neurologic impairment in multiple sclerosis An expanded disability status scale (EDSS)

John F. Kurtzke
- 01 Nov 1983 - 
TL;DR: A new Expanded Disability Status Scale (EDSS) is presented, with each of the former steps (1,2,3 … 9) now divided into two (1.0, 1.5, 2.0 … 9).
Journal ArticleDOI

A new depression scale designed to be sensitive to change.

TL;DR: The construction of a depression rating scale designed to be particularly sensitive to treatment effects is described, and its capacity to differentiate between responders and non-responders to antidepressant treatment was better than the HRS, indicating greater sensitivity to change.
Journal ArticleDOI

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

TL;DR: The authors propose a novel hidden Markov random field (HMRF) model, which is a stochastic process generated by a MRF whose state sequence cannot be observed directly but which can be indirectly estimated through observations.
Journal ArticleDOI

Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

TL;DR: Improvements to this method are described, and an extension of SIENA is extended to a new method for cross-sectional (single time point) analysis, which provides easy manual review of their output by the automatic production of summary images.
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