Neuropsychological Performance, Brain Imaging, and Driving Violations in Multiple Sclerosis

Investigating the relationship between multiple sclerosis disability and driving performance: A comparative study of the multiple sclerosis functional composite and expanded disability status scale

INTRODUCTION

Multiple Sclerosis (MS) can affect the ability to perform complex tasks such as driving. The Expanded Disability Status Scale (EDSS) overlooks cognitive deficits crucial for driving. We investigated the relationship between the Multiple Sclerosis Functional Composite (MSFC), which includes cognitive assessment, and EDSS in relation to driving performance.

METHODS

 This exploratory study involved 30 MS patients (mean EDSS 2.4 ± 2.0) and 15 healthy controls. We correlated the results of the EDSS, MSFC, and driving performance tests, namely the Two-Hand Coordination Test (2HAND) and the Speed Anticipation Reaction Test (SART).

RESULTS

Patients did not differ from the healthy controls regarding age, sex, and driving experience. However, they exhibited lower mean Z-scores in MSFC, particularly in motor domains, but not in cognitive function. The mean Z-score for the 25-foot Walk test was -0.42 in patients compared to -0.04 in controls. For the 9-hole Peg Test, it was 0.17 in patients versus 1.47 in controls. Patients had a mean total error time of 19.7 seconds for both hands in the 2HAND test, compared to 7.7 seconds in controls. In MS patients, the MSFC and EDSS significantly correlated with SART and 2HAND components. While upper limb function (9-HPT) did not correlate with 2HAND, cognitive function (PASAT) did correlate with the number of 2HAND errors, indicating that cognitive dysfunction impacts driving performance more than physical dysfunction.

CONCLUSION

The MSFC may provide valuable insights into the driving abilities of MS patients, potentially offering advantages over the EDSS in predicting driving performance. Further research with larger, more diverse populations across various driving environments is necessary to validate these findings.

Impairment of daily occupations in multiple sclerosis: analysis of neuroimaging, general and social cognition, and reserve

BACKGROUND

Multiple Sclerosis (MS) can impact performance of daily occupations in both relapsing-remitting (RRMS) and secondary-progressive (SPMS) clinical courses. Work force participation decreases with advancing physical disability but the influence of non-motor factors, neuroimaging, and reserve have been scarcely investigated. We aimed to evaluate MRI, clinical, and cognitive (social and general) factors associated with impairment in different daily occupations and address whether cognitive and brain reserve have a positive impact on the ability to maintain these activities.

METHODS

We prospectively enrolled persons with MS (PwMS) who underwent clinical examination (Expanded Disability Status Scale - EDSS; Timed 25-Foot Walk Test - T25FW; and the Nine Hole Peg Test - 9HPT), general neuropsychological assessment (Brief Repeatable Battery of Neuropsychological Tests - BRBN, including the Symbol Digit Modalities Test - SDMT), social cognition evaluation (Reading the Mind in the Eyes Test), cognitive reserve questionnaire, and MRI (FreeSurfer). We also enrolled healthy subjects for comparison as a control group. Daily occupations (employment, money management, and driving abilities) were assessed in all individuals with questionnaires.

RESULTS

We included 62 PwMS (32 RRMS and 30 SPMS; mean age 42.8 years; median educational time 12.75 years) and 67 controls (mean age 39.7; median educational time 12.0 years) which were similar regarding demographics, education, and socioeconomic status (p > 0.1). Most PwMS (67.7%) had work-restrictions. They also reported fewer money management and driving abilities than controls (p < 0.001). Work-restriction was associated with physical disability (p = 0.006), SDMT and BRBN performance (p = 0.035 and p = 0.031, respectively), and T2-lesion volume (p = 0.022), with large effect sizes (d > 0.75). After hierarchical linear regression, money management was associated with hand dexterity, general and social cognition, and cognitive reserve (p < 0.03). Variables associated with driving abilities included fatigue, verbal fluency, striatum volume, and brain reserve (p < 0.05).

CONCLUSIONS

PwMS have more frequent work-restrictions and impairment in money management and driving abilities compared to controls. Cognitive function, physical disability, and MS-lesion burden are strongly associated with work-restriction. Social cognition can also influence financial capacity. Cognitive and brain reserve can help retain some of these daily occupations.

Driving ability and predictors for driving performance in Multiple Sclerosis: A systematic review

OBJECTIVE

To provide an overview of the evidence on driving ability in persons with multiple sclerosis (PwMS), specifically to (i) study the impact of MS impairment on driving ability and (ii) evaluate predictors for driving performance in MS.

METHODS

To identify relevant studies, different electronic databases were screened in accordance with PRISMA guidelines; this includes reference lists of review articles, primary studies, and trial registers for protocols. Furthermore, experts in the field were contacted. Two reviewers independently screened titles, abstracts, and full-texts to identify relevant articles targeting driving in people with MS that investigated driving-related issues with a formal driving assessment (defined as either an on-road driving assessment; or naturalistic driving in a car equipped with video cameras to record the driving; or a driving simulator with a steering wheel, a brake pedal, and an accelerator).

RESULTS

Twenty-four publications, with 15 unique samples (n = 806 PwMS), were identified. To assess driving ability, on-road tests (14 papers) and driving simulators (10 papers) were used. All studies showed moderate to high study quality in the CASP assessment. About 6 to 38% of PwMS failed the on-road tests, showing difficulties in different areas of driving. Similarly, PwMS showed several problems in driving simulations. Cognitive and visual impairment appeared to most impact driving ability, but the evidence was insufficient and inconsistent.

CONCLUSION

There is an urgent need for more research and standardized guidelines for clinicians as one in five PwMS might not be able to drive safely. On-road tests may be the gold standard in assessing driving ability, but on-road protocols are heterogeneous and not infallible. Driving simulators assess driving ability in a standardized way, but without standardized routes and driving outcomes, comparability between studies is difficult. Different aspects, such as cognitive impairment or vision problems, impact driving ability negatively and should be taken into consideration when making decisions about recommending driving cessation.

SYSTEMATIC REVIEW REGISTRATION

Identifier [10.17605/OSF.IO/WTG9J].

Relationships between Personality Traits and Brain Gray Matter Are Different in Risky and Non-risky Drivers

Personality traits such as impulsivity or sensitivity to rewards and punishments have been associated with risky driving behavior, but it is still unclear how brain anatomy is related to these traits as a function of risky driving. In the present study, we explore the neuroanatomical basis of risky driving behavior and how the level of risk-taking influences the relationship between the traits of impulsivity and sensitivity to rewards and punishments and brain gray matter volume. One hundred forty-four participants with different risk-taking tendencies assessed by real-life driving situations underwent MRI. Personality traits were assessed with self-report measures. We observed that the total gray matter volume varied as a function of risky driving tendencies, with higher risk individuals showing lower gray matter volumes. Similar results were found for volumes of brain areas involved in the reward and cognitive control networks, such as the frontotemporal, parietal, limbic, and cerebellar cortices. We have also shown that sensitivity to reward and punishment and impulsivity are differentially related to gray matter volumes as a function of risky driving tendencies. Highly risky individuals show lower absolute correlations with gray matter volumes than less risk-prone individuals. Taken together, our results show that risky drivers differ in the brain structure of the areas involved in reward processing, cognitive control, and behavioral modulation, which may lead to dysfunctional decision-making and riskier driving behavior.

Driving errors that predict simulated rear-end collisions in drivers with multiple sclerosis

OBJECTIVE

Drivers with Multiple Sclerosis (MS) may have an increased crash risk. However, the driving performance deficits that contribute to crashes are not fully understood. Based on the extant literature, adjustment to stimuli errors indicate failing an on-road assessment. This study examines whether adjustment to stimuli errors can detect the occurrence of collisions in a driving simulator in drivers with MS.

METHODS

As part of a quasi-experiment, 38 participants with MS and 21 participants without MS completed visual-cognitive and driving simulator assessments, which also recorded their adjustment to stimuli maneuvers. We quantified participants' adjustment to stimuli maneuvers via initial pedal reaction time (seconds), time to collision (seconds), mean speed (meters per second), and the occurrence of rear-end collisions (collide vs. did not collide) when a simulated vehicle cut across the lane in front of them.

RESULTS

Logistic regression analyses indicated that, compared to drivers without MS, those with MS had a shorter time to collision (OR= .04, p= .001, 95% CI= [.006, .27]) and a faster mean speed (OR= 1.32, p= .04, 95% CI= [1.01, 1.74]) which increased the odds of experiencing a rear-end collision. Receiver operating characteristic curve analyses indicated that, for MS and control groups, time to collision (MS group = AUC= .94, p<.0001, Control group = AUC= .86, p<.0001) and mean speed (MS group = AUC= .76, p=.005, Control group = AUC = .78, p= .005) differentiated between participants who collided vs. did not collide. For drivers with MS, a time to collision of ≤1.81 seconds (85% sensitivity, 100% specificity, 15% error rate), and a mean speed of ≥7.83 meters per second (77% sensitivity, 76% specificity, 47% error rate) predicted the occurrence of collisions with the lowest error rate.

CONCLUSIONS

During a driving simulator assessment, adjustment to stimuli errors predicted the occurrence of rear-end collisions in drivers with MS (vs. without MS). Driving assessors may target scenarios that measure participants' adjustment to stimuli, via time to collision and mean speed, to make decisions about their visual-cognitive deficits and driving performance.

Real-time assessment of daytime sleepiness in drivers with multiple sclerosis

BACKGROUND

Daytime sleepiness is a common symptom of multiple sclerosis (MS) that may jeopardize safe driving. Our aim was to compare daytime sleepiness, recorded in real-time through eyelid tracking, in a simulated drive between individuals with MS (iwMS) and healthy controls.

METHODS

Fifteen iwMS (age = median (Q1 - Q3), 55 (50 - 55); EDSS = 2.5 (2 - 3.5); 12 (80%) female) were matched for age, sex, education, and cognitive status with 15 controls. Participants completed self-reported fatigue and sleepiness scales including the Modified Fatigue Impact Scale (MFIS), Pittsburg Sleep Quality Inventory (PSQI), and Epworth Sleepiness Scale (ESS). Percentage of eyelid closure (PERCLOS) was extracted from a remote eye tracker while completing a simulated drive of 25 min.

RESULTS

Although iwMS reported more symptoms of fatigue (MFIS, p = 0.003) and poorer sleep quality (PSQI, p = 0.008), they did not report more daytime sleepiness (ESS, p = 0.45). Likewise, there were no differences between groups in real-time daytime sleepiness, indexed by PERCLOS (p = 0.82). Both groups exhibited more real-time daytime sleepiness as they progressed through the drive (time effect, p < 0.0001). The interaction effect of group*time (p = 0.05) demonstrated increased symptoms of daytime sleepiness towards the end of the drive in iwMS compared to controls. PERCLOS correlated strongly (Spearman ρ = 0.76, p = 0.001) with distance out of lane in iwMS.

CONCLUSION

IwMS show exacerbated symptoms of daytime sleepiness during a monotonous, simulate drive. Future studies should investigate the effect of MS on daytime sleepiness during real-world driving.

Independent outdoor mobility of persons with multiple sclerosis - A systematic review

BACKGROUND

Multiple sclerosis (MS) can manifest itself in many ways, all of which can affect the independent outdoor mobility of persons with MS (pwMS). In most studies, mobility of pwMS is defined by the ability to walk. However, mobility comprises more than walking alone. This systematic review provides an overview of the literature on several types of independent outdoor mobility of pwMS. We aimed to identify which specific factors may influence outdoor mobility and how the lives of pwMS may be affected by a reduced mobility.

METHODS

A systematic literature search was performed, using three databases (PubMed, PsychInfo and Web of Science). Studies had to describe a group of pwMS sclerosis and had to concern some type of mobility other than walking.

RESULTS

The 57 studies that fulfilled the criteria included in total 10,394 pwMS and in addition, 95,300 pwMS in separate prevalence study. These studies showed that pwMS as a group have a decreased fitness to drive, make use of a wheelchair or mobility scooter more often and have difficulties making use of public transport. Mobility problems especially occur in patients with cognitive problems, secondary progressive MS or high disability scores.

CONCLUSIONS

The reduced mobility may prevent pwMS participating in society. However, few studies investigating interventions or rehabilitation options to improve mobility were found in the existing literature, highlighting an until now under recognised unmet need.

Clinical Determinants of Fitness to Drive in Persons With Multiple Sclerosis: Systematic Review

OBJECTIVE

To critically appraise the evidence for the clinical determinants of fitness to drive in adults with multiple sclerosis (MS).

DATA SOURCES

The research librarian and lead author searched 7 databases for driving simulator and on-road studies for adults with MS published in the English language from 1991 to 2018.

STUDY SELECTION

Three reviewers independently screened titles, abstracts, and full-texts for studies with: cohort, case-control, or cross-sectional designs; participants, 18 years or older, with relapsing or progressive MS; visual, cognitive, or motor clinical assessments as predictors; and driving performance through simulator or fitness to drive through on-road assessment as outcomes.

DATA EXTRACTION

Using the 2017 American Academy of Neurology guidelines, reviewers independently classified each study from class I to class IV, or highest to lowest amount of rigor. For each clinical assessment, reviewers independently rated the level of confidence for predicting driving performance or fitness to drive from level A, highly probable; B, probable; C, possible; to level U, insufficient conclusions.

DATA SYNTHESIS

Through qualitative synthesis, 2 class III and 4 class IV driving simulator studies employed 24 clinical assessments with level C (n=4) or level U (n=20) confidence for predicting driving performance. Six class II and 3 class IV on-road studies employed 35 clinical assessments with level B (n=9), level C (n=22), or level U (n=4) confidence for predicting fitness to drive.

CONCLUSIONS

This systematic review identified mostly insufficient conclusions for predicting driving performance in driving simulator studies, and possible conclusions for predicting fitness to drive in on-road studies. The best available evidence suggests that the Stroke Driver Screening Assessment and Useful Field of View test probably predict fitness to drive in adults with MS (level B). Class I studies that compare predictors of fitness to drive with large prospective samples of adults with and without MS are necessary for highly probable conclusions.

Recommendations for cognitive screening and management in multiple sclerosis care

Purpose:

To promote understanding of cognitive impairment in multiple sclerosis (MS), recommend optimal screening, monitoring, and treatment strategies, and address barriers to optimal management.

Methods:

The National MS Society (“Society”) convened experts in cognitive dysfunction (clinicians, researchers, and lay people with MS) to review the published literature, reach consensus on optimal strategies for screening, monitoring, and treating cognitive changes, and propose strategies to address barriers to optimal care.

Recommendations:

Based on current evidence, the Society makes the following recommendations, endorsed by the Consortium of Multiple Sclerosis Centers and the International Multiple Sclerosis Cognition Society:

Executive functions and health behaviors associated with the leading causes of death in the United States: A systematic review

Research indicates that executive functioning may predict health behavior. This systematic review provides an overview of the relationship between domains of executive functioning and health behaviors associated with the leading causes of death in the United States. A total of 114 articles met the inclusion criteria (adult sample, published in English between 1990 and November 2016) and were reviewed and synthesized. Results indicated that although many studies had mixed findings, at least one executive function component was associated with every health behavior. Based on these results, health professionals should consider the role of executive functions in behavior change interventions.

Determinants of On-Road Driving in Multiple Sclerosis

OBJECTIVE

To investigate the cognitive, visual, and motor deficits underlying poor performance on different dimensions of on-road driving in individuals with multiple sclerosis (MS).

DESIGN

Prospective cross-sectional study.

SETTING

MS clinic and driving simulator lab.

PARTICIPANTS

Active drivers (N=102) with various types of MS.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Off-road cognitive, visual, and motor functions, as well as 13 specific driving skills. These skills were categorized into hierarchic clusters of operational, tactical, visuo-integrative, and mixed driving. Stepwise regression analysis was used to determine the off-road functions influencing performance on the on-road test and each cluster.

RESULTS

Visuospatial function (P=.002), inhibition (P=.008), binocular acuity (P=.04), vertical visual field (P=.02), and stereopsis (P=.03) best determined variance in total on-road score (unadjusted R²=.37). Attentional shift (P=.0004), stereopsis (P=.007), glare recovery (P=.047), and use of assistive devices (P=.03) best predicted the operational cluster (unadjusted R²=.28). Visuospatial function (P=.002), inhibition (P=.002), reasoning (P=.003), binocular acuity (P=.04), and stereopsis (P=.005) best determined the tactical cluster (unadjusted R²=.41). The visuo-integrative model (unadjusted R²=.12) comprised binocular acuity (P=.007) and stereopsis (P=.045). Inhibition (P=.0001) and binocular acuity (P=.001) provided the best model of the mixed cluster (unadjusted R²=.25).

CONCLUSIONS

Our results provide more insights into the specific impairments that influence different dimensions of on-road driving and may be used as a framework for targeted driving intervention programs in MS.