scholarly journals The associations between regional cortical atrophies and information processing speed in patients with relapsing-remitting multiple sclerosis

2019 ◽  
Vol 405 ◽  
pp. 32-33
Author(s):  
J. Komendziński ◽  
A. Wyszomirski ◽  
M. Chylińska ◽  
A. Sabisz ◽  
H. Wójcik-Drączkowska ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Processing Speed ◽  
Information Processing Speed ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Relapsing Remitting Multiple Sclerosis

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.

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 .

Altered functional connectivity and performance variability in relapsing–remitting multiple sclerosis

2014 ◽  
Vol 20 (11) ◽  
pp. 1453-1463 ◽  
Author(s):  
Magdalena Wojtowicz ◽  
Erin L Mazerolle ◽  
Virender Bhan ◽  
John D Fisk
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Functional Connectivity ◽  
Processing Speed ◽  
Resting State ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
Frontal Pole ◽  
Performance Variability ◽  
Relapsing Remitting

Background: Patients with multiple sclerosis (MS) demonstrate slower and more variable performance on attention and information processing speed tasks. Greater variability in cognitive task performance has been shown to be an important predictor of neurologic status and provides a unique measure of cognitive performance in MS patients. Objectives: This study investigated alterations in resting-state functional connectivity associated with within-person performance variability in MS patients. Methods: Relapsing–remitting MS patients and matched healthy controls completed structural MRI and resting-state fMRI (rsfMRI) scans, as well as tests of information processing speed. Performance variability was calculated from reaction time tests of processing speed. rsfMRI connectivity was investigated within regions associated with the default mode network (DMN). Relations between performance variability and functional connectivity in the DMN within MS patients were evaluated. Results: MS patients demonstrated greater reaction time performance variability compared to healthy controls ( p<0.05). For MS patients, more stable performance on a complex processing speed task was associated with greater resting-state connectivity between the ventral medial prefrontal cortex and the frontal pole. Conclusions: Among MS patients, greater functional connectivity between medial prefrontal and frontal pole regions appears to facilitate performance stability on complex speed-dependent information processing tasks.

Cognitive trajectories in relapsing–remitting multiple sclerosis: A longitudinal 6-year study

2019 ◽  
Vol 26 (13) ◽  
pp. 1740-1751 ◽  
Author(s):  
Alfredo Damasceno ◽  
Luciana Ramalho Pimentel-Silva ◽  
Benito Pereira Damasceno ◽  
Fernando Cendes
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Decline ◽  
Processing Speed ◽  
Brain Mri ◽  
Cognitive Deterioration ◽  
Clinical Progression ◽  
Cognitive Domains ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Relapsing Remitting Multiple Sclerosis

Background: Information concerning longitudinal cognitive trajectories in multiple sclerosis (MS) is relatively scarce. Moreover, it is unclear which factors are associated with cognitive decline and what is the clinical impact of cognitive impairment (CI) in the long run. Objective: To investigate cognitive trajectories in relapsing–remitting multiple sclerosis (RRMS) patients, analyzing clinical and magnetic resonance imaging (MRI) predictors of cognitive decline. Methods: We enrolled 42 patients and 30 controls. They underwent brain MRI and clinical/neuropsychological evaluation at baseline and after 1, 2, and 6 years. We evaluated cognitive domains with principal component analysis and performed multivariable regression analyzing predictors of clinical/cognitive deterioration. We also performed repeated measures analysis to assess whether clinical progression was different according to CI at baseline. Results: A total of 23 (62.2%) patients deteriorated in combined cognitive domains after 6 years, most in processing speed and memory. The number of baseline impaired cognitive domains was strongly associated with 6-year cognitive ( R2 = 0.452; p < 0.001) and Expanded Disability Status Scale (EDSS) deterioration ( R2 = 0.263; p < 0.001). Patients with baseline CI in combined domains had worse clinical progression. Conclusion: Isolated CI tends to become more widespread, affecting memory and processing speed alongside. The extent of baseline CI was the best predictor of both clinical and cognitive deterioration after 6 years.

scholarly journals Improved cognitive outcomes in patients with relapsing–remitting multiple sclerosis treated with daclizumab beta: Results from the DECIDE study

2017 ◽  
Vol 24 (6) ◽  
pp. 795-804 ◽  
Author(s):  
Ralph HB Benedict ◽  
Stanley Cohan ◽  
Sharon G Lynch ◽  
Katherine Riester ◽  
Ping Wang ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Processing ◽  
Processing Speed ◽  
Cognitive Outcomes ◽  
High Yield ◽  
Meaningful Improvement ◽  
Relapsing Remitting ◽  
Remitting Multiple Sclerosis ◽  
Relapsing Remitting Multiple Sclerosis ◽  
Cognitive Processing Speed

Background: Cognitive impairment is common in multiple sclerosis (MS), with cognitive processing speed being the most frequently affected domain. Objective: Examine the effects of daclizumab beta versus intramuscular (IM) interferon (IFN) beta-1a on cognitive processing speed as assessed by Symbol Digit Modalities Test (SDMT). Methods: In DECIDE, patients with relapsing–remitting multiple sclerosis (RRMS) (age: 18–55 years; Expanded Disability Status Scale (EDSS) score 0–5.0) were randomized to daclizumab beta ( n = 919) or IM IFN beta-1a ( n = 922) for 96–144 weeks. SDMT was administered at baseline and at 24-week intervals. Results: At week 96, significantly greater mean improvement from baseline in SDMT was observed with daclizumab beta versus IM IFN beta-1a ( p = 0.0274). Significantly more patients treated with daclizumab beta showed clinically meaningful improvement in SDMT (increase from baseline of ⩾3 points ( p = 0.0153) or ⩾4 points ( p = 0.0366)), and significantly fewer patients showed clinically meaningful worsening (decrease from baseline of ⩾3 points ( p = 0.0103)). Odds representing risk of worsening versus stability or improvement on SDMT were significantly smaller for daclizumab beta ( p = 0.0088 (3-point threshold); p = 0.0267 (4-point threshold)). In patients completing 144 weeks of treatment, the effects of daclizumab beta were generally sustained. Conclusion: These results provide evidence for a benefit of daclizumab beta versus IM IFN beta-1a on cognitive processing speed in RRMS. Trial registration: ClinicalTrials.gov identifier NCT01064401 (Efficacy and Safety of BIIB019 (Daclizumab High Yield Process) Versus Interferon β 1a in Participants With Relapsing-Remitting Multiple Sclerosis (DECIDE)): https://clinicaltrials.gov/ct2/show/NCT01064401 .

Cognitive dysfunction in patients with relapsing-remitting multiple sclerosis

2006 ◽  
Vol 12 (1) ◽  
pp. 77-87 ◽  
Author(s):  
U Nocentini ◽  
P Pasqualetti ◽  
S Bonavita ◽  
M Buccafusca ◽  
M F De Caro ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Cognitive Dysfunction ◽  
Processing Speed ◽  
Sample Selection ◽  
Large Sample Size ◽  
Clinical Markers ◽  
Information Processing Speed ◽  
Cognitive Domains ◽  
Relapsing Remitting

Cognitive dysfunction is considered one of the clinical markers of multiple sclerosis (MS). However, in the literature there are inconsistent reports on the prevalence of cognitive dysfunction, and separate data for the relapsing-remitting (RR) type of the disease are not always presented. In this study, we submitted 461 RRMS patients to a battery of neuropsychological tests to investigate their impairment in various cognitive domains. As a consequence of the exclusion criteria, the sample is not fully representative of the entire population of RRMS patients. In this selected sample, when only the eight scores of a core battery (Mental Deterioration Battery) were considered (with respective cutoffs), it emerged that 31% of the patients were affected by some degree of cognitive deficit. In particular, 15% had mild, 11.2% moderate and 4.8% had severe impairment. Information processing speed was the most frequently impaired area, followed by memory. When two other tests (SDMT and MCST) were added and cognitive domains were considered, it emerged that 39.3% of the patients were impaired in two or more domains. When four subgroups were obtained by means of cluster analysis and then compared, it emerged that information processing speed and memory deficits differentiated the still cognitively unimpaired from the mildly impaired MS patients. Significant associations were found between cognitive and clinical characteristics. However, due to the large sample size, clinically irrelevant relationships may also have emerged. Even with the limitations imposed by the sample selection and the possible underestimation of the prevalence and severity of cognitive dysfunction, these results seem to provide further evidence that information processing speed deficit may be an early and important marker of cognitive impairment in MS patients.

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