Trait neuroticism, extraversion, and conscientiousness in multiple sclerosis: Link to cognitive impairment?

2017 ◽  
Vol 24 (2) ◽  
pp. 205-213 ◽  
Author(s):  
Shumita Roy ◽  
Allison S Drake ◽  
María Bárbara Eizaguirre ◽  
Robert Zivadinov ◽  
Bianca Weinstock-Guttman ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cluster Analysis ◽  
Processing Speed ◽  
Cognitively Impaired ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
Adaptive Traits ◽  
Cognitive Domains ◽  
Informant Ratings ◽  
Neo Five Factor Inventory

Background: Previous research suggests that patients with multiple sclerosis (MS) have higher neuroticism, lower extraversion, and lower conscientiousness relative to healthy controls (HCs). However, the prevalence of this maladaptive profile in MS and its relation to cognition is unknown. Objective: Determine prevalence of maladaptive personality among MS patients, compared to HCs, and examine how it relates to cognitive dysfunction. Methods: A sample of 275 MS patients and 55 HCs completed neuroperformance measures of information processing speed and memory. Self and informant ratings were obtained on the NEO Five-Factor Inventory. Results: MS patients had higher neuroticism and lower extraversion than HCs. Cognitively impaired patients were also lower in conscientiousness. Cluster analysis revealed a configuration of these same three traits, representing a maladaptive profile. This profile was found in 50% of the overall MS sample, compared to 24% of HCs. However, only cognitively impaired MS patients had a higher prevalence of maladaptive personality compared to HCs. Among cognitively impaired patients, those with maladaptive traits were impaired in more cognitive domains than those with more adaptive traits. Conclusion: Cognitively impaired MS patients have a higher prevalence of seemingly maladaptive traits compared to HCs, demonstrating an association between cognition and personality in MS.

Difficulties in Planning Among Patients with Multiple Sclerosis: A Relative Consequence of Deficits in Information Processing Speed

2013 ◽  
Vol 19 (5) ◽  
pp. 613-620 ◽  
Author(s):  
Emily M. Owens ◽  
Douglas R. Denney ◽  
Sharon G. Lynch
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
Processing Speed ◽  
Healthy Controls ◽  
Problem Difficulty ◽  
Sufficient Time ◽  
Information Processing Speed ◽  
Tower Of London ◽  
Planning Ability

AbstractPrevious studies show that MS patients take longer than healthy controls to plan their solutions to Tower of London (TOL) problems but yield conflicting results regarding the quality of their solutions. The present study evaluated performance under untimed or timed conditions to assess the possibility that differences in planning ability only occur when restrictions in solution times are imposed. MS patients (n = 39) and healthy controls (n = 43) completed a computerized version of the TOL under one of two conditions. In the untimed condition, participants were allowed as much time as needed on each problem. In the timed condition, limits were imposed on solution times and time remaining was displayed with each problem. Patients exhibited longer planning times than controls, and the disparity between groups increased with problem difficulty. Planning performance depended upon condition. In the untimed condition, patients and controls performed equally well. When solution times were restricted, however, patients solved fewer problems than controls. MS patients’ planning ability is intact when permitted sufficient time to formulate the required plan. Deficiencies in planning are only evident when time is restricted, and, therefore, are more accurately considered a relative consequence of disease-related problems in information processing speed. (JINS, 2013, 19, 1–8)

Altered effective connectivity during performance of an information processing speed task in multiple sclerosis

2011 ◽  
Vol 18 (4) ◽  
pp. 409-417 ◽  
Author(s):  
Victoria M Leavitt ◽  
Glenn Wylie ◽  
Helen M Genova ◽  
Nancy D Chiaravalloti ◽  
John DeLuca
Keyword(s):  
Multiple Sclerosis ◽  
Processing Speed ◽  
Effective Connectivity ◽  
A Priori ◽  
Brain Regions ◽  
Healthy Controls ◽  
Causality Analysis ◽  
Information Processing Speed ◽  
Neural Connections ◽  
Speed Task

Background: Functional magnetic resonance imaging (fMRI) studies of persons with multiple sclerosis (MS) reveal distinct patterns of activation during task performance. We were interested in determining whether distinct patterns of effective connectivity would be revealed with Granger causality analysis (GCA). Objective: To characterize directed neural connections in persons with MS during a processing speed task between brain regions known to be activated in healthy controls. Methods: fMRI and GCA were used to examine effective connectivity underlying performance of a processing speed task in persons with MS. In total, 16 individuals with MS and 17 healthy controls (HC) performed a modified version of the Symbol Digit Modality Task (mSDMT) in the MRI scanner. Eight seed regions were selected on the basis of a priori data showing areas involved in mSDMT performance of HC. Results: Behaviorally, the MS group attained a level of accuracy equivalent to the HC group, although they were significantly slower. While there was a great deal of overlap in the connections relied upon by both groups, the MS group showed significant differences in connectivity between critical brain regions. Specifically, the MS group had more connections from multiple regions to frontal cortices bilaterally relative to HCs. Conclusions: Greater neural recruitment by the MS group relative to HC is consistent with the neural efficiency hypothesis, and lends further support to the notion that more connections must be recruited to maintain performance in the presence of brain pathology.

Treatment of Multiple Sclerosis–Related Cognitive Problems With Adjunctive Modafinil

2008 ◽  
Vol 10 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Jeffrey A. Wilken ◽  
Cynthia Sullivan ◽  
Mitchell Wallin ◽  
Catherine Rogers ◽  
Robert L. Kane ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Combination Therapy ◽  
Processing Speed ◽  
Attention Problems ◽  
Adjunctive Treatment ◽  
Information Processing Speed ◽  
Serious Adverse Events ◽  
Cognitive Domains ◽  
Relative Safety ◽  
Neurocognitive Measures

In patients with multiple sclerosis (MS), attention and information-processing-speed impairment contribute to dysfunction in other cognitive domains (learning, memory). Treatment for MS-related attention and processing-speed deficits may have dual benefits: improvement of function in these domains and in overall cognitive efficiency. The objective of this study was to determine whether adjunctive treatment of fatigue with modafinil ameliorates deficits in attention and cognitive domains reliant on attention. Relapsing-remitting MS patients receiving intramuscular interferon beta-1a (IM IFNβ-1a) were screened for attention problems with four well-validated, reliable, standardized neurocognitive measures sensitive to attention impairment. Those scoring at least 1 standard deviation below normative expectations on at least two of the measures were eligible for continued participation. Participants with normal values on all physical screening measures were randomized to one of two groups: continued IM IFNβ-1a alone or plus modafinil. Significant mean group differences were found at 4 months on multiple measures of fatigue and cognitive functioning. Patients on combination therapy reported significantly less fatigue (P <.05) and performed significantly better (P <.05) than those in the monotherapy group on measures tapping simple attention span, working memory, and phonemic verbal fluency. Combination therapy was generally well tolerated. No serious adverse events were reported by patients in either treatment arm. This study was developed as a proof of concept that attention-enhancing medications could be used to address fatigue, cognition, and mood in MS patients. The results demonstrate the need for a larger study to determine relative safety and efficacy.

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.

scholarly journals T1 Relaxation Times in the Cortex and Thalamus Are Associated With Working Memory and Information Processing Speed in Patients With Multiple Sclerosis

2021 ◽  
Vol 12 ◽  
Author(s):  
Christian Thaler ◽  
Isabelle Hartramph ◽  
Jan-Patrick Stellmann ◽  
Christoph Heesen ◽  
Maxim Bester ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Working Memory ◽  
Cognitive Impairment ◽  
Information Processing ◽  
Processing Speed ◽  
T1 Mapping ◽  
Relaxation Times ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
T1 Relaxation

Background: Cortical and thalamic pathologies have been associated with cognitive impairment in patients with multiple sclerosis (MS).Objective: We aimed to quantify cortical and thalamic damage in patients with MS using a high-resolution T1 mapping technique and to evaluate the association of these changes with clinical and cognitive impairment.Methods: The study group consisted of 49 patients with mainly relapsing-remitting MS and 17 age-matched healthy controls who received 3T MRIs including a T1 mapping sequence (MP2RAGE). Mean T1 relaxation times (T1-RT) in the cortex and thalami were compared between patients with MS and healthy controls. Additionally, correlation analysis was performed to assess the relationship between MRI parameters and clinical and cognitive disability.Results: Patients with MS had significantly decreased normalized brain, gray matter, and white matter volumes, as well as increased T1-RT in the normal-appearing white matter, compared to healthy controls (p &lt; 0.001). Partial correlation analysis with age, sex, and disease duration as covariates revealed correlations for T1-RT in the cortex (r = −0.33, p &lt; 0.05), and thalami (right thalamus: r = −0.37, left thalamus: r = −0.50, both p &lt; 0.05) with working memory and information processing speed, as measured by the Symbol-Digit Modalities Test.Conclusion: T1-RT in the cortex and thalamus correlate with information processing speed in patients with MS.

scholarly journals Type 2 Diabetes and Cognitive Functions in Middle Age: A Meta-Analysis

2018 ◽  
Vol 25 (2) ◽  
pp. 215-229 ◽  
Author(s):  
Elina Pelimanni ◽  
Mervi Jehkonen
Keyword(s):  
Type 2 Diabetes ◽  
Processing Speed ◽  
Visual Memory ◽  
Middle Age ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Healthy Controls ◽  
Information Processing Speed ◽  
Cognitive Domains

AbstractObjectives: Type 2 diabetes mellitus has been linked with cognitive decrement and an increased risk of dementia in older people. Less is known about whether diabetes affects cognition at younger ages. The objective of this meta-analysis was to examine possible differences (effect sizes) in cognitive performance between middle-aged type 2 diabetic patients and healthy controls. Secondary aim was to examine whether age is related to the magnitude of effect sizes. Methods: Electronic databases and lists of references of selected articles were used to search for studies examining type 2 diabetes and cognition in patients under age 65 compared to healthy controls. Twelve studies met the inclusion criteria. Standardized mean differences (Hedges’s g) were calculated for main cognitive domains and their subdomains. Association between age and effect sizes was evaluated with meta-regression analyses. Publication bias and methodological quality of the studies were assessed. Results: Patients performed worse than controls in several cognitive functions. The largest differences were found in information processing speed (g = −0.68), attention/concentration (g = −0.55), executive functions (g = −0.51), and working memory (g = −0.51). There was no significance difference in visual memory (g = −0.15). Age was significantly related to the effect size in information processing speed, language, verbal memory and visual memory. However, the direction of association varied across these cognitive domains. Conclusions: The results suggest that cognitive decrement in diabetes is not restricted to older people, but may begin to appear in middle age. More attention should be paid to early recognition and treatment of diabetes-related cognitive decrement in healthcare systems. (JINS, 2019, 25, 215–229)

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.

scholarly journals Increased connectivity of hub networks and cognitive impairment in multiple sclerosis

Neurology ◽  
2017 ◽  
Vol 88 (22) ◽  
pp. 2107-2114 ◽  
Author(s):  
Kim A. Meijer ◽  
Anand J.C. Eijlers ◽  
Linda Douw ◽  
Bernard M.J. Uitdehaag ◽  
Frederik Barkhof ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Impairment ◽  
Processing Speed ◽  
Network Connectivity ◽  
Resting State Fmri ◽  
Cognitively Impaired ◽  
Information Processing Speed ◽  
Frontoparietal Network ◽  
Neuropsychological Assessments ◽  
The Brain

Objective:To investigate default-mode network (DMN) and frontoparietal network (FPN) dysfunction in cognitively impaired (CI) patients with multiple sclerosis (MS) because these networks strongly relate to cognition and contain most of the hubs of the brain.Methods:Resting-state fMRI and neuropsychological assessments were performed in 322 patients with MS and 96 healthy controls (HCs). Patients with MS were classified as CI (z score < −2.0 on at least 2 tests; n = 87), mildly cognitively impaired (z score < −1.5 on at least 2 tests and not CI; n = 65), and cognitively preserved (CP; n = 180). Within-network connectivity, connectivity with the rest of the brain, and between-network connectivity were calculated and compared between groups. Connectivity values were normalized for individual means and SDs.Results:Only in CI, both the DMN and FPN showed increased connectivity with the rest of the brain compared to HCs and CP, with no change in within- or between-network connectivity. Regionally, this increased connectivity was driven by the inferior parietal, posterior cingulate, and angular gyri. Increased connectivity with the rest of the brain correlated with worse cognitive performance, namely attention for the FPN as well as information processing speed and working memory for both networks.Conclusions:In CI patients with MS, the DMN and FPN showed increased connectivity with the rest of the brain, while normal within- and between-network connectivity levels were maintained. These findings indicate that cognitive impairment in MS features disturbed communication of hub-rich networks, but only with the more peripheral (i.e., nonhub) regions of the brain.

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