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Journal ArticleDOI

Memory impairment in multiple sclerosis: correlation with deep grey matter and mesial temporal atrophy.

TLDR
For the first time, the predictive validity of MTL and DGM atrophy were simultaneously compared with MS using reliable and validated neuropsychological measures and found that both compartments play significant but different roles in the amnesia of MS.
Abstract
Background: MRI research in multiple sclerosis (MS) samples reveals pathology in both the cerebral cortex and deep grey matter (DGM). The classical subcortical dementia hypothesis has been ascribed to MS and is supported by studies highlighting the role of thalamic atrophy in neuropsychological outcomes. However, the importance of mesial temporal lobe (MTL) atrophy in MS is largely untested and poorly understood. New structural imaging techniques permit volumetric measures of multiple regions within the MTL lobe and DGM. Objective: To determine the relative importance of MTL and DGM structures in predicting MS performance on memory tests presented in the auditory/verbal and visual/spatial spheres. Methods: Cross sectional analysis of 50 patients with MS undergoing structural brain MRI and neuropsychological testing. Using Freesurfer software, the volumes of the MTL (hippocampus, amygdala) and DGM (thalamus, caudate) structures were calculated and compared with control values. Neuropsychological testing contributed measures of new learning, delayed recall and recognition memory, in the auditory/verbal and visual/spatial memory modalities. Results: Significant correlations between lower regional volume and poorer test performance were observed across all memory tests. For measures of free recall or new learning, DGM volumes were most strongly predictive of outcomes. In contrast, measures of recognition memory were predicted only by MTL volumetric measures. Conclusion: For the first time, the predictive validity of MTL and DGM atrophy were simultaneously compared with MS using reliable and validated neuropsychological measures. This study found that both compartments play significant but different roles in the amnesia of MS.

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The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements

TL;DR: The main conclusion is that users are discouraged to update to a new major release of either FreeSurfer or operating system or to switch to a different type of workstation without repeating the analysis; results thus give a quantitative support to successive recommendations stated by FreeSurf developers over the years.
Journal ArticleDOI

Risk factors for and management of cognitive dysfunction in multiple sclerosis

TL;DR: It is found that the heterogeneity in neuropsychological presentation among patients with MS reflects the influence of many factors, including genetics, sex, intelligence, disease course, comorbid neuropsychiatric illness, and health behaviors.
Journal ArticleDOI

Basal ganglia, thalamus and neocortical atrophy predicting slowed cognitive processing in multiple sclerosis

TL;DR: The significant role of thalamus atrophy in MS-related IPS slowing is confirmed and it is found that putamen atrophy is also a significant contributor to this disorder.
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

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

TL;DR: In this paper, a technique for automatically assigning a neuroanatomical label to each voxel in an MRI volume based on probabilistic information automatically estimated from a manually labeled training set is presented.
Journal ArticleDOI

The Fatigue Severity Scale: Application to Patients With Multiple Sclerosis and Systemic Lupus Erythematosus

TL;DR: A fatigue severity scale was internally consistent, correlated well with visual analogue measures, clearly differentiated controls from patients, and could detect clinically predicted changes in fatigue over time and identify features that distinguish fatigue between two chronic medical disorders.
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