scholarly journals Corrigendum

2016 ◽  
Vol 23 (1) ◽  
pp. NP1-NP1
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Depressive Symptoms ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Relapsing Remitting Multiple Sclerosis

Lubrini G, Ríos Lago M, Periañez JA, et al. The contribution of depressive symptoms to slowness of information processing in relapsing remitting multiple sclerosis. Mult Scler 2016; 22: 1607–1615. DOI: 10.1177/1352458516661047 .

The contribution of depressive symptoms to slowness of information processing in relapsing remitting multiple sclerosis

2016 ◽  
Vol 22 (12) ◽  
pp. 1607-1615 ◽  
Author(s):  
Genny Lubrini ◽  
Marcos Ríos Lago ◽  
Jose A Periañez ◽  
Antonio Tallón Barranco ◽  
Consuelo De Dios ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Information Processing ◽  
Depressive Symptoms ◽  
General Population ◽  
Cognitive Demands ◽  
Fundamental Factor ◽  
Relapsing Remitting ◽  
Relapsing Remitting Multiple Sclerosis ◽  
The Impact

Background: Slowness of information processing has been suggested as a fundamental factor modulating cognitive impairment in multiple sclerosis (MS). However, the contribution of depressive symptoms (DS) to slowness remains unclear. One of the most accepted hypotheses on the impact of depression on the general population suggests that depression interferes only with tasks requiring high cognitive demands. However, no studies have investigated if the same pattern occurs in MS. Objective: The aim of this study was to determine the profile of the contribution of DS to slowness. Methods: Four Reaction Time (RT) tasks requiring an increasing level of cognitive demands were administered to 35 relapsing remitting MS patients with DS, 33 MS patients without DS, 17 depressed non-MS patients and 27 controls. Results: MS patients without DS obtained longer RTs than controls in all the tasks. On the contrary, depressed non-MS patients were slower than controls only in the most demanding task. Finally, MS patients with DS were slower than MS patients without DS not only in the most demanding task but also in the task requiring a lower level of cognitive demands. Conclusion: The contribution of DS to slowness depends on the level of cognitive demands. However, its impact on MS is more deleterious than on the general population.

scholarly journals Cerebellar Information Processing in Relapsing-Remitting Multiple Sclerosis (RRMS)

2010 ◽  
Vol 23 (1-2) ◽  
pp. 39-49 ◽  
Author(s):  
E. Lesage ◽  
M. A. J. Apps ◽  
A. L. Hayter ◽  
C. F. Beckmann ◽  
D. Barnes ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Cognitive Skills ◽  
Data Transfer ◽  
White Matter Lesions ◽  
Information Processing Speed ◽  
Model Free ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Relapsing Remitting Multiple Sclerosis

Recent research has characterized the anatomical connectivity of the cortico-cerebellar system – a large and important fibre system in the primate brain. Within this system, there are reciprocal projections between the prefrontal cortex and Crus II of the cerebellar cortex, which both play important roles in the acquisition and execution of cognitive skills. Here, we propose that this system also plays a particular role in sustaining skilled cognitive performance in patients with Relapsing-Remitting Multiple Sclerosis (RRMS), in whom advancing neuropathology causes increasingly inefficient information processing. We scanned RRMS patients and closely matched healthy subjects while they performed the Paced Auditory Serial Addition Test (PASAT), a demanding test of information processing speed, and a control task. This enabled us to localize differences between conditions that change as a function of group (group-by-condition interactions). Hemodynamic activity in some patient populations with CNS pathology are not well understood and may be atypical, so we avoided analysis strategies that rely exclusively on models of hemodynamic activity derived from the healthy brain, using instead an approach that combined a ‘model-free’ analysis technique (Tensor Independent Component Analysis, TICA) that was relatively free of such assumptions, with a post-hoc ‘model-based’ approach (General Linear Model, GLM). Our results showed group-by-condition interactions in cerebellar cortical Crus II. We suggest that this area may have in role maintaining performance in working memory tasks by compensating for inefficient data transfer associated with white matter lesions in MS.

Predicting Neuropsychological Impairment in Relapsing Remitting Multiple Sclerosis: The Role of Clinical Measures, Treatment, and Neuropsychiatry Symptoms

2020 ◽  
Author(s):  
Elena Lozano-Soto ◽  
Álvaro Javier Cruz-López ◽  
Rafael Gutiérrez ◽  
Macarena González ◽  
Florencia Sanmartino ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Depressive Symptoms ◽  
Cognitive Performance ◽  
Disease Duration ◽  
Neuropsychological Impairment ◽  
Disease Stage ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Clinical Measures ◽  
Relapsing Remitting Multiple Sclerosis

Abstract Objective This retrospective observational study aimed to define neuropsychological impairment (NI) profiles and determine the influence of clinical, demographic, and neuropsychiatric measures in specific cognitive domains in a cohort of relapsing–remitting multiple sclerosis (RRMS) patients. Methods Ninety-one RRMS patients underwent a neurological examination and a brief neuropsychological assessment. Patients were classified according to the disease-modifying therapies (DMTs) received (platform or high-efficacy). Differences between groups and multiple regression analyses were performed to determine the predictive value of the assessed measures in cognitive performance. Results More than two-thirds of the patients showed NI. Specifically, mild to moderate NI was presented in approximately half of the participants. Paced Auditory Serial Addition Test (PASAT-3) and Symbol Digit Modalities Test (SDMT) were the most frequently impaired cognitive tests (45.3% and 41.3%, respectively) followed by phonemic verbal fluency (PVF) (27.8%). Expanded Disability Status Scale (EDSS), age, depressive symptoms, and disease duration were the best predictors of SDMT (R2 = .34; p < .01), whereas disease duration, EDSS, and anxiety-state levels predicted PASAT-3 (R2 = .33, p < .01). Educational level, age, EDSS, and depressive symptoms demonstrated the strongest association with PVF (R2 = .31, p < .01). Conclusions Our results indicated a significant prevalence of NI in RRMS patients that was not dependent on the DMT type. In addition to the meaningful working memory (PASAT-3) and information processing speed (SDMT) impairments found, PVF deficits may also be an important marker of cognitive impairment in RRMS patients. This study supports the relevance of standard clinical measures and reinforces the importance of quantifying clinical and neuropsychiatric symptoms to predict subsequent cognitive performance on a similar multiple sclerosis phenotype and disease stage.

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