Cognitive impairment in multiple sclerosis: An exploratory analysis of environmental and lifestyle risk factors

Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms

Multiple sclerosis (MS) is an autoimmune-mediated disease of the central nervous system characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of clinical symptoms, cognitive impairment (CI) is a common and disabling feature greatly affecting the patients' quality of life. Its prevalence is 20% up to 88% with a wide variety depending on the phenotype of MS, with highest frequency and severity in primary progressive MS. Involving different cognitive domains, CI is often associated with depression and other neuropsychiatric symptoms, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. While no specific neuropathological data for CI in MS are available, modern research has provided evidence that it arises from the disease-specific brain alterations. Multimodal neuroimaging, besides structural changes of cortical and deep subcortical gray and white matter, exhibited dysfunction of fronto-parietal, thalamo-hippocampal, default mode and cognition-related networks, disruption of inter-network connections and involvement of the γ-aminobutyric acid (GABA) system. This provided a conceptual framework to explain how aberrant pathophysiological processes, including oxidative stress, mitochondrial dysfunction, autoimmune reactions and disruption of essential signaling pathways predict/cause specific disorders of cognition. CI in MS is related to multi-regional patterns of cerebral disturbances, although its complex pathogenic mechanisms await further elucidation. This article, based on systematic analysis of PubMed, Google Scholar and Cochrane Library, reviews current epidemiological, clinical, neuroimaging and pathogenetic evidence that could aid early identification of CI in MS and inform about new therapeutic targets and strategies.

Premorbid cognitive functioning influences differences between self-reported cognitive difficulties and cognitive assessment in multiple sclerosis

Cognitive difficulties are reported in up to 60% of people with MS (pwMS). There is often a discrepancy between self-reported cognitive difficulties and performance on cognitive assessments. Some of this discrepancy can be explained by depression and fatigue. Pre-MS cognitive abilities may be another important variable in explaining differences between self-reported and assessed cognitive abilities. PwMS with high estimated premorbid cognitive functioning (ePCF) may notice cognitive difficulties in daily life whilst performing within the average range on cognitive assessments. We hypothesised that, taking into account depression and fatigue, ePCF would predict (1) differences between self-reported and assessed cognitive abilities and (2) performance on cognitive assessments. We explored whether ePCF predicted (3) self-reported cognitive difficulties. Eighty-seven pwMS completed the Test of Premorbid Functioning (TOPF), the Brief International Cognitive Assessment for MS (BICAMS), self-report measures of cognitive difficulty (MS Neuropsychological Questionnaire; MSNQ), fatigue (MS Fatigue Impact Scale; MFIS) and depression (Hospital Anxiety and Depression Scale; HADS). Results revealed that, taking into account covariates, ePCF predicted (1) differences between self-reported and assessed cognitive abilities, p < .001 (model explained 29.35% of variance), and (2) performance on cognitive assessments, p < .001 (model explained 46.00% of variance), but not (3) self-reported cognitive difficulties, p = .545 (model explained 35.10% of variance). These results provide new and unique insights into predictors of the frequently observed discrepancy between self-reported and assessed cognitive abilities for pwMS. These findings have important implications for clinical practice, including the importance of exploring premorbid factors in self-reported experience of cognitive difficulties.

Age and asymmetry of corticospinal excitability, but not cardiorespiratory fitness, predict cognitive impairments in multiple sclerosis

Background

Cognitive impairment is a disabling and underestimated consequence of multiple sclerosis (MS), with multiple determinants that are poorly understood.

Objectives

We explored predictors of MS-related processing speed impairment (PSI) and age-related mild cognitive impairment (MCI) and hypothesized that cardiorespiratory fitness and corticospinal excitability would predict these impairments.

Methods

We screened 73 adults with MS (53 females; median [range]: Age 48 [21-70] years, EDSS 2.0 [0.0-6.5]) for PSI and MCI using the Symbol Digit Modalities Test and Montréal Cognitive Assessment, respectively. We identified six persons with PSI (No PSI, n = 67) and 13 with MCI (No MCI, n = 60). We obtained clinical data from medical records and self-reports; used transcranial magnetic stimulation to test corticospinal excitability; and assessed cardiorespiratory fitness using a graded maximal exercise test. We used receiver operator characteristic (ROC) curves to discern predictors of PSI and MCI.

Results

Interhemispheric asymmetry of corticospinal excitability was specific for PSI, while age was both sensitive and specific for MCI. MS-related PSI was also associated with statin prescriptions, while age-related MCI was related to progressive MS and GABA agonist prescriptions. Cardiorespiratory fitness was associated with neither PSI nor MCI.

Discussion

Corticospinal excitability is a potential marker of neurodegeneration in MS-related PSI, independent of age-related effects on global cognitive function. Age is a key predictor of mild global cognitive impairment. Cardiorespiratory fitness did not predict cognitive impairments in this clinic-based sample of persons with MS.

Cognition and Cognitive Fatigability: Association with Employment Status in Multiple Sclerosis

BACKGROUND

Slowed processing speed impacts employment status in people with multiple sclerosis (PwMS). Studies on the Multiple Sclerosis Functional Composite (MSFC), which includes the Paced Auditory Serial Addition Test (PASAT), have demonstrated that the combined score predicts employment status. Whether PASAT performance alone is associated with employment status is less clear. In addition, no studies have yet evaluated whether cognitive fatigability (CF), as measured with the PASAT, is associated with employment status. The aim of the current study was to examine the association between PASAT performance, CF, and employment status in PwMS.

METHODS

Hundred and eighty-six PwMS completed the PASAT as part of a larger neuropsychological battery. ANOVAs and chi-squares analyzed group differences between employed and unemployed participants with respect to demographics, PASAT performance scores, and CF. Linear regression determined whether PASAT performance and/or CF scores were associated with employment status.

RESULTS

After controlling for demographic influences, group differences were noted between employed vs. unemployed individuals on PASAT performance scores only. Employment status was associated with PASAT performance scores but not CF.

CONCLUSIONS

The current study confirmed that PASAT performance is associated with employment status in MS. Given that CF was not associated, it seems difficulties with information processing speed (IPS) and working memory have more impact on a PwMS's ability to remain employed rather than within-task performance decline.

Systematic review of cognitive reserve in multiple sclerosis: Accounting for physical disability, fatigue, depression, and anxiety

BACKGROUND

Cognitive reserve (CR) describes an individual's ability to adapt cognitive processes in response to brain atrophy, and has been reported to explain some of the discrepancy between brain atrophy and cognitive functioning outcomes in multiple sclerosis (MS). CR in MS is typically investigated by assessing an individual's pre- and/or post-diagnosis enrichment, which includes premorbid intellectual abilities, educational level, occupational attainment, and engagement in cognitively enriching leisure activities. Common MS symptoms (e.g., physical disability, fatigue, depression, anxiety) may impact an individual's ability to engage in various CR-enhancing activities post-diagnosis. It is unknown to what extent these MS symptoms have been taken into account in MS research on CR. As such, we identified whether studies assessed CR using measures of premorbid or continuous (including post-diagnosis) enrichment. For studies investigating continuous enrichment, we identified whether studies accounted for MS-impact, which MS symptoms were accounted for, and how, and whether studies acknowledged MS symptoms as potential CR-confounds.

METHODS

Three electronic databases (PsycINFO, PubMed, Scopus) were searched. Eligible studies investigated CR proxies (e.g., estimated premorbid intellectual abilities, vocabulary knowledge, educational level, occupational attainment, cognitively enriching leisure activities, or a combination thereof) in relation to cognitive, brain atrophy or connectivity, or daily functioning outcomes in adult participants with MS. We extracted data on methods and measures used, including any MS symptoms taken into account. Objectives were addressed using frequency analyses and narrative synthesis.

RESULTS

115 studies were included in this review. 47.8% of all studies investigated continuous enrichment. Approximately half of the studies investigating continuous enrichment accounted for potential MS-impact in their analyses, with only 31.0% clearly identifying that they treated MS symptoms as potential confounds for CR-enhancement. A narrative synthesis of studies which investigated CR with and without controlling statistically for MS-impact indicated that accounting for MS symptoms may impact findings concerning the protective nature of CR.

CONCLUSION

Fewer than half of the studies investigating CR proxies in MS involved continuous enrichment. Just over half of these studies accounted for potential MS-impact in their analyses. To achieve a more complete and accurate understanding of CR in MS, future research should investigate both pre-MS and continuous enrichment. In doing so, MS symptoms and their potential impact should be considered. Establishing greater consistency and rigour across CR research in MS will be crucial to produce an evidence base for the development of interventions aimed at improving quality of care and life for pwMS.

Importance of Identifying Cognitive Impairment in Multiple Sclerosis

This article aims to highlight the impact of cognitive impairment on outcomes and quality of life for people with multiple sclerosis (MS) and to review current evidence for the efficacy of disease-modifying therapies (DMTs) and other interventions. In addition, we provide clinical practice insights regarding screening and management of cognitive impairment in people with MS. Evidence suggests that cognitive deterioration often accompanies magnetic resonance imaging changes. Neocortical volume and deep grey matter atrophy correlate with cognitive impairment. Similarly, cognitive decline is predictive of a higher lesion burden. Cognitive impairment is an important clinical measure of disability and negatively impacts quality of life. Phase 3 studies suggest that DMTs such as natalizumab, ozanimod and fingolimod may provide long-lasting, clinically meaningful effects on cognition in people with MS. Further data are needed to support the use of adjunct cognitive behavioural and exercise interventions for people with MS who have cognitive impairment. More data are needed to define appropriate management strategies for cognitive impairment in people with MS. Baseline and periodic screening for cognitive impairment and inclusion of cognitive impairment as a clinical trial endpoint will help to inform efforts to manage this important aspect of MS.

Neuropsychological rehabilitation in patients with relapsing-remitting multiple sclerosis: a systematic review

Introduction: Multiple sclerosis (MS) is an autoimmune, chronic, inflammatory and demyelinating disease that affects the Central Nervous System (CNS). It is the most common disabling neurological disease in young patients not caused by traumatic shock. Depending on how symptoms appear and how often they occur, there are different subtypes of MS. One of them is the relapsing-remitting phenotype (R-R), which the symptoms appear in the form of isolated outbreaks which, little by little, are causing the increase of the disease and its sequelae. MS encompasses a wide variety of symptoms, including possible cognitive impairment. In the literature there is no clear methodology and a defined and structured consensus to carry out neuropsychological rehabilitation processes in this group.Aim: This study aims to review and synthesize the available scientific evidence about the neuropsychological intervention on cognitive impairment of people with multiple sclerosis, relapsing-remitting subtype.Methods: Keywords for database search (Pubmed and Wos) were established, as well as inclusion and exclusion criteria. Then, the articles were selected according to inclusion and exclusion criteria; methodological quality criteria were applied. Articles published in the last 10 years were included.Results: Fifteen articles that met the established criteria were selected. Most of these studies identify as effective their cognitive rehabilitation programs, some of them showed changes in neural structures after rehabilitation.Discussion: It seems that cognitive rehabilitation is effective in influencing cognitive deterioration in R-R MS. This highlights the importance of neuropsychological evaluation and intervention from the early stages of the disease.

Cognitive Imapirment in Multiple Sclerosis: Relation to Dysability, Duration and Type of Disease

Background

Cognitive dysfunctions are often presented as a symptom in multiple sclerosis which is associated with both structural and functional imapirments of neuronal networks in the brain.

Objective

The aim of the study was to evaluate the influence of dysability, duration and type of disesase on cognitive functions in multiple sclerosis patients.

Methods

This study included 60 MS patients treated at the Department of Neurology, Clinical Center University of Sarajevo. Inclusion criteria were clinically definite diagnosis of multiple sclerosis, 18 years of age or older and were able to give written informed consent. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCa) screening test. Mann-Whitney and Kruskal-Wallis test were used for comparisons between clinical characteristics and MoCa test scores.

Results

Out of 63.33% of patients had EDSS <=4.5. Disease lasted longer than 10 years in 30% of patients. 80% had relapsing-remitting MS and 20% had secondary progressive MS. 84,2 % of patients with EDSS ≤ 4.5 had cognitive dysfunction. Higher disability (rho=0,306, p<0,05), progressive type of disease (rho=0,377, p< 0,01) and longer disease duration (rho=0,282, p<0,05) were associated with worse overall cognitive functions. Level of disability showed statistical significant correlation with the executive functions and language domains of cognition (p<0.01). Longer disease duration was significant correlated with executive functions (p<0,01) and language domains (p<0,01), while progressive type of disease was signifacant correlated only with executive functions domain (p<0,01). MoCa score variables did not show a statistically significant difference in relation to the number of relapses per year and the use of imunoterapy. Statistically significant negative correlation was obtained between executive functions domain and level of disability, disease duration and progressive type of disease, while language domain significantly correlated only with disability level and progressive type of disease.

Conclusion

High percentage of MS patients has cognitive impairment. Patients with higher disability were presented with lower cognitive abilities, especially in executive functions and language domains. Higher frequency of cognitive impairment were presented in progessive forms of disaese and longer disease duration with strong influence on executive functions domains of cognition.

Metabolic syndrome parameters and multiple sclerosis disease outcomes: A Portuguese cross-sectional study

BACKGROUND

Metabolic syndrome and multiple sclerosis [MS] share the presence of chronic inflammation in their pathogenic mechanisms. This study aimed to estimate the prevalence of metabolic syndrome parameters in MS and their association with disease disability, cognitive function, and Neurofilament Light chain [NfL] levels.

METHODS

Clinical, analytical, and magnetic resonance imaging data were obtained through medical records. Disease disability was measured by the Expanded Disability Status Scale [EDSS], the MS Severity Scale [MSSS] along with cognitive impairment by the Brief International Cognitive Assessment for MS [BICAMS] and Word List Generation test [WLG]. Metabolic syndrome parameters were evaluated by fasting blood glucose, triglycerides, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol, total cholesterol, blood pressure, and waist circumference [WC]. We also analysed serum leptin and ghrelin and cerebrospinal fluid NfL.

RESULTS

Our sample included 51 people with MS, 34 (66.7%) females, mean age of 38.20±12.12 years and median disease duration of 3 years (P25=2.0, P75=5.0). Multivariate linear regression analysis confirmed that WC correlates with EDSS (β=0.04, p=.001) and MSSS (β=0.07, p=.002) as well as Brief Visuospatial Memory Test-Revised (β=-0.29, p=.008), WLG (β=-0.20, p=.039). NfL is also negatively associated with HDL-C (β=-4.51, p=.038).

CONCLUSIONS

Waist circumference is associated with disability and deficits in cognitive tests. A decrease in HDL-C is associated with an increase in NfL. This suggests metabolic syndrome might be an important factor in MS disease course.

Evaluation of the determinants of cognitive dysfunction in patients with multiple sclerosis

Background

Cognitive dysfunction is common among patients with multiple sclerosis (MS); however, the determinants of cognitive dysfunction are still unknown. This study aimed to investigate the determinants of cognitive dysfunction in a relatively large sample of patients with MS for rapid screening.

Results

Fifty-three patients (33.6%) had cognitive dysfunction. According to the Wechsler Memory Scale, patients with relapsing-remitting MS (RRMS) and patients with progressive MS (PMS) had significantly lower scores than the control group. Patients with RRMS compared to the control group were 76.73 ± 8.50 versus 105.58 ± 8.71 (P < 0.01), and patients with PMS compared to the control group were 72.56 ± 6.44 versus 105.58 ± 8.71 (P < 0.01). In patients with RRMS, the factors affecting the emergence of cognitive dysfunction included disability, fatigue, depression, and duration of illness, whereas in patients with PMS, just the disability variable was related to the presence or absence of cognitive dysfunction.

Conclusions

Our findings showed that disability, fatigue, depression, and duration of illness were factors associated with cognitive dysfunction in patients with RRMS. Proper identification of these factors can be helpful in the screening of cognitive dysfunction in this population.

Intrathecal B cell-related markers for an optimized biological investigation of multiple sclerosis patients

In multiple sclerosis (MS) disease, the importance of the intrathecal B cell response classically revealed as IgG oligoclonal bands (OCB) in cerebrospinal fluid (CSF) was reaffirmed again in the recently revised diagnostic criteria. We aimed to optimize Laboratory investigation by testing the performance of new B cell-related molecules in CSF (Ig free light chains (FLCκ and λ) and CXCL13 (B-Cell Attracting chemokine1)) for MS diagnosis. 320 paired (CSF-serum) samples were collected from 160 patients with MS (n = 82) and non-MS diseases (n = 78). All patients benefited from IgG index determination, OCB detection, CSF CXCL13 and FLC (κ and λ) measurement in CSF and serum for metrics calculation (κ/λ ratio, FLC-related indexes, and κFLC-intrathecal fraction (IF)). CXCL13 and FLC metrics in CSF were higher in patients with MS and positive OCB. As expected, κFLC metrics—in particular, κFLC index and κFLC IF—had the highest accuracy for MS diagnosis. κ index showed the best performance (sensitivity 83% and specificity 91.7%) at a cut-off of 14.9. Most of the FLC-related parameters were positively correlated with IgG index and the level of CXCL13. In conclusion, the quantitative, standardizable, and technically simple CSF FLCκ metrics seem to be reliable for MS diagnosis, but could not replace OCB detection. CXCL13 appears to be an effective parameter reflecting the intrathecal B cell response. An optimized way for CSF testing combining the conventional and the new B cell-related parameters is proposed in this study.

Brain age as a surrogate marker for cognitive performance in multiple sclerosis

Background and purpose

Data from neuro‐imaging techniques allow us to estimate a brain's age. Brain age is easily interpretable as ‘how old the brain looks’ and could therefore be an attractive communication tool for brain health in clinical practice. This study aimed to investigate its clinical utility by investigating the relationship between brain age and cognitive performance in multiple sclerosis (MS).

Methods

A linear regression model was trained to predict age from brain magnetic resonance imaging volumetric features and sex in a healthy control dataset (HC_train, n = 1673). This model was used to predict brain age in two test sets: HC_test (n = 50) and MS_test (n = 201). Brain‐predicted age difference (BPAD) was calculated as BPAD = brain age minus chronological age. Cognitive performance was assessed by the Symbol Digit Modalities Test (SDMT).

Results

Brain age was significantly related to SDMT scores in the MS_test dataset (r = −0.46, p < 0.001) and contributed uniquely to variance in SDMT beyond chronological age, reflected by a significant correlation between BPAD and SDMT (r = −0.24, p < 0.001) and a significant weight (−0.25, p = 0.002) in a multivariate regression equation with age.

Conclusions

Brain age is a candidate biomarker for cognitive dysfunction in MS and an easy to grasp metric for brain health.

Exercise training improves memory and produces changes in the adrenal gland morphology in the experimental autoimmune encephalomyelitis

Objective. The present study sought to verify the effects of an exercise training on the memory along with the morphological assessment of the adrenal gland tissue in the rats with experimental autoimmune encephalomyelitis (EAE). Methods. Female Lewis rats were randomly divided into three groups: EAE group, EAE group with exercise (EAE+Ex), and control group (CO). Each group contained 10 rats. To evaluate the memory, all rats were subjected to the Morris water maze learning test for four consecutive days and one day for a prop test. EAE was induced by guinea pig spinal cord homogenate emulsified in incomplete Freund's adjuvant and heat-mycobacterium. The exercise training on a motorized treadmill was initiated 3 weeks before EAE induction and disconnected 2 weeks post-induction. Results. We found that exercise training for five weeks produced an improved swimming velocity related to memory improvement in EAE+Ex group in comparison with EAE group, but not an incurable adrenal gland tissue after EAE induction. Conclusions. The experimental design selected for this study appears to be an effective treatment for memory in rats with experimental autoimmune encephalomyelitis.

Characteristics of cognitive impairment in multiple sclerosis patients depending on different risk factors

Cognitive impairment (CI), along with motor deficit, is a crucial component of a disability aggravation in multiple sclerosis (MS) patients. The aim of this study was to asses characteristics of CI in separate cognitive domains depending on socio-demographic (age, sex, level of education), disease parameters (severity, course type and disease duration) and external factors (smoking). The current study enrolled 137 MS patients (102 women and 35 men) aged from 22 to 69 years. All participants were divided into two groups depending on the disease course: group А – patients with relapsing-remitting (RR-MS) type (n=106) and group B – participants with progressive forms of the disease (n=31). The following study discovered that disruption of separate cognitive domains was present even without the apparent CI according to MоCA (Montreal Cognitive Assessment): executive functions impairment (p=0,0013) was found most frequently in case of RR-MS, and memory (p=0,0233) decline in case of progressive forms. In the group A moderate CI were associated with decrease of memory (p<0,0001), attention (p=0,0061), executive functions (p=0,0005), language (p=0,0080) and abstract thinking (p=0,0018); severe CI – with disorders of attention (p=0,0055), language (p<0,0001) and abstract thinking (p=0,0144). As for the group B, moderate CI were associated with decline of abstract thinking (p<0,0001), and severe CI – with impairment of memory and executive functions (p=0,0337). Level of physical disability and smoking impact CI independently of MS course, meanwhile, presence of higher education proves to be beneficial for preserving cognitive functions. In addition, disease duration, number of exacerbations and male gender (concerning attention decline) can affect cognition in relapsing-remitting course of MS.

Assessment of cognitive functions in patients with multiple sclerosis

Background

About 40–70% of patients with multiple sclerosis (MS) develop cognitive impairment (CI) throughout their life. We aim to study the influence of MS on cognitive changes. This is a case–control study of fifty patients with MS who met the revised 2017 Mc Donald Criteria and fifty age- and sex-matched healthy subjects. The Expanded Disability Status Scale (EDSS) was used to assess the degree of disability, and the Montreal Cognitive Assessment (MoCA) scoring system was used to assess cognitive function.

Results

MS patients show low total MoCA score than the controls. Total MoCA scores were lower in patients with CI versus those with intact cognition. CI was higher in those with a longer duration of illness and a high EDSS. MoCA was positively correlated with education level but negatively with EDSS and disease duration.

Conclusion

MoCA scale has optimal psychometric properties for routine clinical use in patients with MS, even in those with mild functional disability. The longer the disease duration and the higher the EDSS, the lower the MoCA score and the higher the education level, the higher the MoCA score. As for the profile of cognitive dysfunction in patients with MS, the domains most frequently failed by the patients were memory, attention, visuospatial learning, and language.

[Preliminary results of rehabilitation intervention for the correction of cognitive impairment in patients with multiple sclerosis]

One of the leading symptoms in patients with multiple sclerosis (MS) is cognitive impairment. It often affects aspects of cognition such as learning ability, memory, processing speed, and attention. It has been proven that patients often complain of difficulties in multitasking and choosing the right words. These problems are often underestimated. Various studies show that regular physical activity, mainly aerobic exercise, can potentially improve cognitive function. Positive effects on concentration, memory, and multitasking were described. In March 2019, the Tyumen regional center of MS, together with the clinical Institute of the brain (Yekaterinburg), launched a clinical study of methods for rehabilitation of cognitive disorders in patients with MS. There was a statistically significant improvement in MOCA-test scores, according to SDMT and PASSAT data in the main group of MS patients. Despite a significant improvement in cognitive function, the self-assessment of mental function according to the MSQOL54-MN test in this group of patients did not change. Our preliminary results suggest that a comprehensive and well-controlled training program can improve cognitive abilities in MS patients even after a short course of treatment.

A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis

Background. Cardiovascular comorbidities have been associated with cognitive decline in the general population. Objectives. To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. Methods. This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). Results. Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = −8.54; 95%CI = −15.51, −1.57; and Coeff = −0.11; 95%CI = −0.20, −0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. Conclusions. In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.

Contribution of Gray Matter Atrophy and White Matter Damage to Cognitive Impairment in Mildly Disabled Relapsing-Remitting Multiple Sclerosis Patients

Cognitive impairment (CI) is frequently present in multiple sclerosis patients. Despite ongoing research, the neurological substrates have not been fully elucidated. In this study we investigated the contribution of gray and white matter in the CI observed in mildly disabled relapsing-remitting multiple sclerosis (RRMS) patients. For that purpose, 30 patients with RRMS (median EDSS = 2), and 30 age- and sex-matched healthy controls were studied. CI was assessed using the symbol digit modalities test (SDMT) and the memory alteration test. Brain magnetic resonance imaging, diffusion tensor imaging (DTI), voxel-based morphometry (VBM), brain segmentation, thalamic vertex analysis, and connectivity-based thalamic parcellation analyses were performed. RRMS patients scored significantly lower in both cognitive tests. In the patient group, significant atrophy in the thalami was observed. Multiple regression analyses revealed associations between SDMT scores and GM volume in both hemispheres in the temporal, parietal, frontal, and occipital lobes. The DTI results pointed to white matter damage in all thalamocortical connections, the corpus callosum, and several fasciculi. Multiple regression and correlation analyses suggested that in RRMS patients with mild disease, thalamic atrophy and thalamocortical connection damage may lead to slower cognitive processing. Furthermore, white matter damage at specific fasciculi may be related to episodic memory impairment.

Effects of Menopause in Women With Multiple Sclerosis: An Evidence-Based Review

Over two thirds of all individuals who develop multiple sclerosis (MS) will be women prior to the age of menopause. Further, an estimated 30% of the current MS population consists of peri- or postmenopausal women. The presence of MS does not appear to influence age of menopausal onset. In clinical practice, symptoms of MS and menopause can frequently overlap, including disturbances in cognition, mood, sleep, and bladder function, which can create challenges in ascertaining the likely cause of symptoms to be treated. A holistic and comprehensive approach to address these common physical and psychological changes is often suggested to patients during menopause. Although some studies have suggested that women with MS experience reduced relapse rates and increased disability progression post menopause, the data are not consistent enough for firm conclusions to be drawn. Mechanisms through which postmenopausal women with MS may experience disability progression include neuroinflammation and neurodegeneration from age-associated phenomena such as immunosenescence and inflammaging. Additional effects are likely to result from reduced levels of estrogen, which affects MS disease course. Following early retrospective studies of women with MS receiving steroid hormones, more recent interventional trials of exogenous hormone use, albeit as oral contraceptive, have provided some indications of potential benefit on MS outcomes. This review summarizes current research on the effects of menopause in women with MS, including the psychological impact and symptoms of menopause on disease worsening, and the treatment options. Finally, we highlight the need for more inclusion of MS patients from underrepresented racial and geographic groups in clinical trials, including among menopausal women.

[Clinical practicability of the cognitive screening battery BICAMS in patients with multiple sclerosis: results of the feasibility study in Germany]

BACKGROUND

Patients with multiple sclerosis (MS) suffer from cognitive impairment in 40-70% of the cases. There is evidence that the cognitive status is predictive for working ability and early retirement. Regular assessment of cognitive functionality is therefore urgently needed.

PURPOSE

The German validation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) battery was evaluated in a multicentric way with respect to its feasibility in private neurological centers across Germany.

METHODS

Physician assistants were trained with respect to application and scoring of BICAMS. All scored test materials were evaluated by independent neuropsychological experts.

RESULTS

A total of 1606 BICAMS datasets were collected from 65 neurological centers. Of these 1573 datasets were analyzed of which 49.7% were correctly applied and scored while mistakes in application, scoring and transformation were found in 50.3%. Interrater reliability for each subtest was found to be ICC [Formula: see text] 0.953 when datasets containing mistakes were excluded.

DISCUSSION

In general, BICAMS is highly recommended to be applied in standard clinical care; however, it should be emphasized that although the interrater reliability in the final sample was high, serious mistakes were found in 50.3% of cases. From these findings we conclude that nonpsychological staff have to be even more intensively trained and supervised by experts in the application and scoring of BICAMS.

Cerebrovascular disease, multiple sclerosis, or both? Case report and review of the challenging distinction between two potentially synergistic syndromes

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White matter changes (WMC) are frequently observed in clinical practice, particularly in the context of cognitive dysfunction.

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Determining the cause of WMC has practical implications, because treatment and prognosis depend on the underlying disease process.

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Multiple Sclerosis (MS) can be confused with Small Vessel Cerebrovascular Disease (SVCVD), leading to a wrong diagnosis.

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MS patients may have coexisting cardiovascular risk factors and signs of cerebrovascular disease, further undermining white matter tracts.

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Careful review of neuroimaging and past medical history is recommended in young individuals with presumptive diagnosis of vascular dementia to rule out MS.

White matter changes (WMC) are frequently observed in clinical practice, but their clinical relevance is often obscured by radiology reports that do not clearly convey a likely diagnosis. In this regard, two attitudes contribute to diagnostic confusion: a tendency to dismiss findings as trivial (i.e., using vague characterizations such as “non-specific” or “normal for age”), and a gratuitous dilatation of the differential diagnosis (i.e., routinely adding rare diseases to the list, such as vasculitis). Very often, the finding of WMC presents physicians with a very practical problem, which is to determine whether the underlying etiology is an autoimmune demyelinating disease such as multiple sclerosis (MS), or a vasculopathy such as small vessel cerebrovascular disease (SVCVD). The implications of this distinction are great, because the treatment and prognosis of these two syndromes are very different. Here, we describe the challenging case of a relatively young woman with dementia due to a combination of MS and cerebrovascular disease.

Interval Timing in Pediatric Multiple Sclerosis: Impaired in the Subsecond Range but Unimpaired in the One-Second Range

Background: For adult multiple sclerosis (MS) patients, impaired temporal processing of simultaneity/successiveness has been frequently reported although interval timing has been investigated in neither adult nor pediatric MS patients. We aim to extend previous research in two ways. First, we focus on interval timing (instead of simultaneity/successiveness) and differentiate between sensory-automatic processing of intervals in the subsecond range and cognitive processing of intervals in the one-second range. Second, we investigate whether impaired temporal information processing would also be observable in pediatric MS patients' interval timing in the subsecond and one-second ranges.

Methods: Participants were 22 pediatric MS patients and 22 healthy controls, matched for age, gender, and psychometric intelligence as measured by the Culture Fair Test 20-R. They completed two auditory interval-timing tasks with stimuli in the subsecond and one-second ranges, respectively, as well as a frequency discrimination task.

Results: Pediatric MS patients showed impaired interval timing in the subsecond range compared to healthy controls with a mean difference of the difference limen (DL) of 6.3 ms, 95% CI [1.7, 10.9 ms] and an effect size of Cohen's d = 0.830. The two groups did not differ significantly in interval timing in the one-second range (mean difference of the DL = 26.9 ms, 95% CI [−14.2, 67.9 ms], Cohen's d = 0.399) or in frequency discrimination (mean difference of the DL = 0.4 Hz, 95% CI [−1.1, 1.9 Hz], Cohen's d = 0.158).

Conclusion: The results indicate that, in particular, the sensory-automatic processing of intervals in the subsecond range but not the cognitive processing of longer intervals is impaired in pediatric MS patients. This differential pattern of results is unlikely to be explained by general deficits of auditory information processing. A tentative explanation, to be tested in future studies, points to subcortical deficits in pediatric MS patients, which might also underlie deficits in speech and visuomotor coordination typically reported in pediatric MS patients.

Mental health status of relapsing-remitting multiple sclerosis Italian patients returning to work soon after the easing of lockdown during COVID-19 pandemic: A monocentric experience

BACKGROUND

The prolonged lockdown related to COVID-19 pandemic determined disruption of lifestyle and social isolation.

METHODS

To assess the mental health status of Relapsing-Remitting Multiple Sclerosis (RRMS) patients regularly followed at the MS center of Catania (Italy) and returning to work after the easing of lockdown during COVID-19 pandemic. Then, to identify any variables associated to psychological distress. RRMS patients returning to work during the COVID-19 pandemic were invited to answer a telephonic interview consisting of the administration of the Short-Screening-Scale for DSM IV (SSS-DSM-IV), the Depression, Anxiety, Stress Scale- 21 (DASS-21) and the Insomnia Severity Index (ISI). Other information was extracted from electronic medical records.

RESULTS

Valid and complete interviews were obtained from 432 patients (response rate 64.3%). Out of them, 277 (64.1%) were female, mean age 40.4 (SD 12.4) years. One-hundred thirty-seven (31.7%) RRMS patients received a score ≥4 at the SSS-DSM-IV, indicating clinically significant PTSD-like symptoms. About DASS-21, moderate-to-severe anxiety was reported by 210 RRMS patients (48.6%), moderate-to-severe depression, and moderate-to-severe stress were respectively reported by 95 (22%) and 220 (50.9%) RRMS patients. Insomnia was reported by 128 patients (29.6%). Factors associated with major severity of symptoms were: marital status, previous diagnosis of mood disorders, switching/starting Disease-Modifying Therapies in the last 12 months, and a higher level of disability measured with Expanded Disability Status Scale (for all, p<.05).

CONCLUSIONS

Our findings highlight the need to provide psychological support to MS patients facing the delicate phase of returning to work and to normal activities.

Kappa Free Light Chains and IgG Combined in a Novel Algorithm for the Detection of Multiple Sclerosis

Background: It is well known that the cerebrospinal fluid (CSF) concentrations of free light chains (FLC) and immunoglobulin G (IgG) are elevated in multiple sclerosis patients (MS). Therefore, in this study we aimed to develop a model based on the concentrations of free light chains and IgG to predict multiple sclerosis. We tried to evaluate the diagnostic usefulness of the novel κIgG index and λIgG index, here presented for the first time, and compare them with the κFLC index and the λFLC index in multiple sclerosis patients. Methods: CSF and serum samples were obtained from 76 subjects who underwent lumbar puncture for diagnostic purposes and, as a result, were divided into two groups: patients with multiple sclerosis (n = 34) and patients with other neurological disorders (control group; n = 42). The samples were analyzed using turbidimetry and isoelectric focusing. The κIgG index, λIgG index, κFLC index, and λFLC index were calculated using specific formulas. Results: The concentrations of CSF κFLC, CSF λFLC, and serum κFLC and the values of κFLC index, λFLC index, and κIgG index were significantly higher in patients with multiple sclerosis compared to controls. CSF κFLC concentration and the values of κFLC index, λFLC index, and κIgG index differed in patients depending on their pattern type of oligoclonal bands. κFLC concentration was significantly higher in patients with pattern type 2 and type 3 in comparison to those with pattern type 1 and type 4. The κFLC index, λFLC index, and κIgG index were significantly higher in patients with pattern type 2 in comparison to those with pattern type 4. The κFLC index and κIgG index were significantly higher in patients with pattern type 2 in comparison to those with pattern type 1, and in patients with pattern type 3 compared to those with pattern type 4. The κIgG index was markedly elevated in patients with pattern type 3 compared to those with pattern type 1. In the total study group, κFLC, λFLC, κFLC index, λFLC index, κIgG index, and λIgG index correlated with each other. The κIgG index showed the highest diagnostic power (area under the curve, AUC) in the detection of multiple sclerosis. The κFLC index and κIgG index showed the highest diagnostic sensitivity, and the κIgG index presented the highest ability to exclude multiple sclerosis. Conclusion: This study provides novel information about the diagnostic significance of four markers combined in the κIgG index. More investigations in larger study groups are needed to confirm that the κIgG index can reflect the intrathecal synthesis of immunoglobulins and may improve the diagnosis of multiple sclerosis.