Faculty Bibliography

Background: Clinical observations and emerging studies suggest that African American (AA) people with multiple sclerosis (MS) tend to fare worse than their Caucasian American (CA) counterparts. Existing studies are limited by few AA participants and could often not evaluate other potential con-tributing factors. Objective: To compare socio-economic and relevant clini-cal characteristics of a large population of AA and CA people with MS. Methods: MS PATHS is a Biogen-sponsored network of 10 large MS centers located in the US (7) and Europe (3); standardized collection of socio-demographic characteristics, including self-reported race and clinical and disease information are acquired at least annually during routine clinic visits. We included US-based MS PATHS participants with self-reported AA and CA race who provided socio-economic and baseline MS characteristics. We compared AA vs. CA with respect to education, employment, and insurance status and MS characteristics including self-reported disability (via Patient Determined Disease Steps [PDDS]) and objective assessments of neurological function (via walking speed, electronically-assessed manual dexterity, and processing speed). To compare socio-economic characteristics between AAs and CAs, we fit generalized linear regression models. For PDDS, we fit multinomial regression models comparing severe vs. mild and moderate vs. mild disability. For neurological assessments, we fit linear regression models. Models for PDDS and neurologic outcomes were adjusted for age, sex, disease subtype and duration, employment, and insurance status. Results: Of US-based eligible participants in MS PATHS, 909 (14%) identified as AAs while 5842 (86%) identified as CAs and were included in the analyses. AAs were younger (mean 45.6y [SD:12.5] vs. 49.7y [12.3y]; p<0.0001), had fewer years of education (14.1y [2.8] vs. 14.8y [2.6]; p<0.0001), had Medicaid health insurance (20% vs. 7%; P<0.0001), and were currently on disability or not working (39% vs. 29%; p<0.0001) relative to CAs. With respect to MS characteristics, AAs had a 58% multivariable-adjusted higher odds of severe vs. mild disability relative to CAs (OR: 1.58; 95% CI: 1.22-2.04). They also had significantly slower walking and manual dexterity speeds and lower cognitive performance scores relative to CAs (multivariable-adjusted mean difference [95% CI]: 25-foot walking speed: 1.11 seconds [1.07-1.14]; manual dexterity: 1.07 seconds [1.05-1.08]; processing speed scores:-4.23 [-5.00-3.47]. Conclusions: In this large sample, self-reported AA identity was associated with indicators of lower socio-economic status and with greater MS severity across a broad array of neurological assessments

The material-specific model for memory impairment predicts that verbal memory deficits are seen with left temporal seizures, and visual memory deficits are seen with right temporal seizures (Henkin et al., 2005). In pediatric epilepsy, seizure pathology has not always yielded the expected material-specific memory profiles. This study used the Wide Range Assessment of Memory and Learning-Second Edition (WRAML-2) to assess memory functioning among pediatric patients with epilepsy. The WRAML-2 was administered to 180 youth with epilepsy during their neuropsychological evaluations. Memory and recognition scores correlated significantly with epilepsy severity variables. There were no significant differences in verbal and visual memory and recognition index scores among patients with generalized epilepsy or among those with lateralized or localized electroencephalography (EEG) patterns and lesions on imaging. However, clinically meaningful verbal versus visual discrepancy scores were significantly related to lateralized abnormalities on EEG and magnetic resonance imaging (MRI) results. Most patients with right hemisphere pathology showed the expected material-specific visual memory deficits, while fewer than 15% of the left hemisphere cases showed the expected verbal memory deficits. Over one-third of those with identified left-sided pathology showed clinically significant deficits in visual memory. Findings are incongruent with the material-specific memory model and reflect the fact that early developmental neurological insults can lead to functional reorganization/crowding effects in children with left hemisphere epilepsy. On exploratory analyses, there were no significant differences in discrepancy scores among participants with left, right, and bilateral languages on Wada and functional MRI (fMRI). However, those with right and bilateral language dominance were more likely to show discrepancies that were incongruent with the material-specific model.

Background/UNASSIGNED:We previously identified air quality as a risk factor of interest for pediatric multiple sclerosis. The purpose of this study is to more closely examine the association between the six criteria air pollutants and pediatric MS as well as identify specific areas of toxic release using data from the Toxic Release Inventory. Methods/UNASSIGNED:= 442) were included as part of an ongoing case-control study. We used the National Emissions Inventory system to estimate particulate exposure by county of residence for each participant. Proximity to Toxic Release Inventory (TRI) sites was also assessed using ArcGIS mapping tools. Risk-Screening Environmental Indicators (RSEI) classified counties at risk to exposure of environmental toxic releases. Results/UNASSIGNED:= 0.002). Average RSEI scores did not differ significantly between cases and controls. Conclusion/UNASSIGNED:, CO, and lead) were statistically associated with higher odds for pediatric MS.

PURPOSE/OBJECTIVE: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/CONCLUSIONS: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: Increased professional and patient awareness/education about the prevalence, impact, and appropriate management of cognitive symptoms. For adults and children (8+ years of age) with clinical or magnetic resonance imaging (MRI) evidence of neurologic damage consistent with MS: As a minimum, early baseline screening with the Symbol Digit Modalities Test (SDMT) or similarly validated test, when the patient is clinically stable; Annual re-assessment with the same instrument, or more often as needed to (1) detect acute disease activity; (2) assess for treatment effects (e.g. starting/changing a disease-modifying therapy) or for relapse recovery; (3) evaluate progression of cognitive impairment; and/or (4) screen for new-onset cognitive problems. For adults (18+ years): more comprehensive assessment for anyone who tests positive on initial cognitive screening or demonstrates significant cognitive decline, especially if there are concerns about comorbidities or the individual is applying for disability due to cognitive impairment. For children (<18 years): neuropsychological evaluation for any unexplained change in school functioning (academic or behavioral). Remedial interventions/accommodations for adults and children to improve functioning at home, work, or school.

BACKGROUND:Transcranial direct current stimulation (tDCS) has been explored as a potential intervention in Parkinson's disease (PD) and recent studies have shown promising results in cognitive, gait and motor function. However, evidence of efficacy is limited due to small size studies, short treatment periods, lack of standardization of methodologies and other study design limitations. Remotely supervised-tDCS (RS-tDCS) allows "at-home" study participation, potentially easing recruitment, compliance and overall feasibility for clinical studies. OBJECTIVE:Here, we aim to explore preliminary effects of RS-tDCS paired with cognitive training in PD by delivering RS-tDCS neuromodulation at participant's home while still maintaining clinical trial standards. METHODS:This was a prospective, open-label study using RS-tDCS paired with cognitive training. Each PD participant completed 10 tDCS sessions (20-min, 1.5-2.0-mA, bi-hemispheric DLPFC montage, left anodal), over a span of two weeks. All tDCS sessions were supervised in real-time through videoconferencing. Outcomes included the Unified Parkinson's Disease Rating Scale (UPDRS) and Grooved Pegboard Test. RESULTS:All RS-tDCS sessions were well tolerated and completed successfully. Total UPDRS and motor UPDRS-III scores decreased significantly. Pegboard completion time improved significantly for the non-dominant hand. There was a strong positive correlation between the time of the sessions, and motor improvements in UPDRS part-III. CONCLUSION/CONCLUSIONS:RS-tDCS paradigm through a 'telemedicine protocol' holds therapeutic potential for motor symptoms in PD while maximizing compliance and ease of recruitment. Conducting afternoon sessions might be more effective than during the morning. Our paradigm may be influential in designing future studies and facilitating larger and longer duration clinical trials.

Several methods for identifying suboptimal effort on Spanish neuropsychological assessment have been established. The purpose of this retrospective study was to determine whether recognition data from the WHO-AVLT could be employed for determination of malingering in a Spanish-speaking sample. Sixteen subjects in litigation, 25 neurological patients, and 14 healthy controls completed neuropsychological testing. All subjects completed the Test of Memory Malingering (TOMM). Inclusion criteria for neurological patients and controls included performance above the standard TOMM cutoff. Subjects in litigation were classified as probable malingering, through lower than cutoff performance on the TOMM and at least one other performance validity measure. Cut-off scores for classification of malingering were determined based on the number of recognition hits on the WHO-AVLT. The probable malingering group performed significantly worse than both groups on recognition hits. A score <10 was determined to be the optimal group cutoff, with 56.25% sensitivity and specificity greater than 92%. A combination score of 14 increased sensitivity to 68.75%. These findings provide initial validation of a new malingering index, based on the number of hits on the WHO-AVLT recognition trial. This index will provide valuable information to neuropsychologists conducting forensic or clinical evaluations on Spanish-speaking individuals.

In this study, we employed a kernel support vector machine to predict epilepsy localization and lateralization for patients with a diagnosis of epilepsy (n = 228). We assessed the accuracy to which indices of verbal memory, visual memory, verbal fluency, and naming would localize and lateralize seizure focus in comparison to standard electroencephalogram (EEG). Classification accuracy was defined as models that produced the least cross-validated error (CVϵ). In addition, we assessed whether the inclusion of norm-based standard scores, demographics, and emotional functioning data would reduce CVϵ. Finally, we obtained class probabilities (i.e., the probability of a particular classification for each case) and produced receiver operating characteristic (ROC) curves for the primary analyses. We obtained the least error assessing localization data with the Gaussian radial basis kernel function (RBF; support vectors = 157, CVϵ = 0.22). There was no overlap between the localization and lateralization models, such that the poorest localization model (the hyperbolic tangent kernel function; support vectors = 91, CVϵ = 0.36) outperformed the strongest lateralization model (RBF; support vectors = 201, CVϵ = 0.39). Contrary to our hypothesis, the addition of norm, demographics, and emotional functioning data did not improve the accuracy of the models. Receiver operating characteristic curves suggested clinical utility in classifying epilepsy lateralization and localization using neuropsychological indicators, albeit with better discrimination for localizing determinations. This study adds to the existing literature by employing an analytic technique with inherent advantages in generalizability when compared to traditional single-sample, not cross-validated models. In the future, class probabilities extracted from these and similar analyses could supplement neuropsychological practice by offering a quantitative guide to clinical judgements.