Faculty Bibliography

Introduction: Pediatric onset multiple sclerosis (POMS) is a demyelinating disorder occurring in the context of neurodevelopment with unique clinical challenges due to the potential for disease-related cognitive impairment. A brief cognitive screening battery of computer administered measures of processing speed (Cogstate) and the Brief International Cognitive Assessment in MS (BICAMS) detects cognitive impairment in POMS. However, the neuroanatomic correlates of these deficits are incompletely understood. We have sought to define the neuroimaging correlates of deficits identified with a cognitive screening battery in POMS.
Objective(s): To test the links between white matter integrity and cognitive functioning in pediatric MS patients and matched healthy controls.
Aim(s): Participants cognitive performance as measured by the BICAMS and Cogstate assessments was compared to magnetic resonance imaging (MRI) outcomes.
Method(s): Participants with POMS and age-matched healthy controls (HC) completed cognitive screening with Cogstate and the BICAMS along with 64-direction MRI based diffusion tensor imaging (DTI).
Result(s): The POMS group (n= 15, mean age 17.9+/-3.2 years) compared to the HC group (n= 21, mean age 17.8+/-3.3 years) were significantly slower on a composite Cogstate score (p=0.004), but the groups did not significantly differ using a composite BICAMS score (p = 0.10). The POMS group also presented with increased fractional anisotropy (FA) in the thalamus (p=0.01) and reduced FA in the corpus callosum (p=0.05) and temporal lobe white matter (p=0.03) relative to HCs. Controlling for age and sex within groups, the measured slowed processing speed (Cogstate composite) significantly negatively correlated with regional fractional anisotropy (FA) in the corpus callosum, temporal and occipital lobe white matter, and in the tractography-based uncinate fasciculus in the POMS sample (p=0.002 to 0.025), whereas the reduced verbal learning (RAVLT) was significantly negatively correlated with thalamic FA (p = 0.046). Of these effects, only the relationship between the Cogstate composite and temporal lobe FA was significant in the HCs (p=0.013).
Conclusion(s): Computer administered measures of cognitive processing speed are particularly sensitive to slowing in POMS and are closely linked to MRI diffusion measures

Introduction: Cognitive impairment represents a frequent and troubling symptom of multiple sclerosis (MS) in need of treatment options. Transcranial direct current stimulation (tDCS) uses scalpbased electrodes to pass mild electrical current (< 4mA) through target cortical brain regions and is a safe and well-tolerated treatment. We have developed a protocol to deliver remotely supervised cognitive remediation paired with tDCS to individuals with MS at home.
Objective(s): To test whether at-home cognitive remediation augmented with tDCS will lead to improved training outcomes in MS.
Aim(s): Cognitive processing speed was assessed at baseline and study end by the Cogstate Brief Battery. Age normative z scores were computed for the Cogstate Brief Battery scores, with outcome measured by change in the average z score of information processing assessments.
Method(s): MS participants with cognitive impairment were recruited and randomized to complete 40 sessions of either active or sham tDCS paired with either adaptive or non-adaptive cognitive training (aCT or nCT). Training was completed at home using study-provided equipment and remotely supervised via videoconference using our established probed (RS-tDCS). Training was 20 minutes in duration and was completed five times a week (M-F) for approximately eight weeks. Participants were blinded and received active (2.5mA) or sham stimulation and cognitive training simultaneously during each session.
Result(s): To date, n=19 MS participants have successfully complete the 40 session training program at home: n=6 in active/aCT, n=8 in Sham/aCT, and n=5 in active/nCT. Mean age was 49+/-15 years of age and mean years of education was 16.5+/-2.1. The majority of participants had the RRMS subtype (63%, with 11% PPMS, and 26% SPMS). The participants were matched on cognitive status as measured by the symbol digit modality test (ANOVA p=0.09). tDCS and the cognitive training were uniformly well tolerated with no safety concerns. At the group level, all three groups showed improvement from baseline (0.75, 0.56, 0.59 z-score improvement for each condition respectively), indicating that both tDCS and aCT can be of benefit. Further, as predicted, the active tDCS paired with aCT experienced the greatest benefit (Cohen's d = 0.51).
Conclusion(s): Our telerehabiltiation protocol allows for participants to receive extended cognitive training paired with tDCS at home, resulting in improved outcomes from cognitive remediation

Introduction: Cognitive impairment is common and often disabling in multiple sclerosis (MS), but the risk factors and mechanisms underlying cognitive decline remain poorly understood. Pediatric MS (MS onset < 18 years of age) is unique due to the demyelinating process occurring in the context of development.
Objective(s): To compare cognitive functions in newly diagnosed patients with either adult- or pediatric-onset MS (AOMS vs. POMS).
Aim(s): To test performance in newly diagnosed MS patients using the Symbol Digit Modalities Test (SDMT) and a computer-based measure sensitive to processing speed deficits (Cogstate).
Method(s): As part of an ongoing multi-center longitudinal cognition trial, AOMS and POMS participants were recruited from outpatient visits and matched by years of disease. At the baseline evaluation, all participants were administered the Wide Range Achievement Test-4 (WRAT-4), the SDMT and the Cogstate Brief Battery, which includes three measures of information processing speed tasks:simple (DET) and choice (IDN) reaction time and working memory (ONB). Cogstate scores were converted to z-scores and then averaged for one composite z-score.
Result(s): A total of n=64 participants completed baseline assessments with n= 32 in the AOMS group (mean age 33.36 ?+/- 5.82) and n= 32 in the POMS group (mean age 11.31 ?+/- 3.64). All participants had relapsing remitting disease and the groups were matched for disease duration (4.91 ?+/- 3.05 years for AOMS vs. 6.38 ?+/- 3.54 for POMS). The POMS group had higher estimated premorbid IQ (WRAT-4 reading 112.7 ?+/- 18.5 vs. 105.4 ?+/- 13.4), though the result did not reach significance (p=0.07). Neither group's cognitive performances fell into the impaired range relative to age-normative means. However, the AOMS compared to the POMS group consistently performed significantly worse on the SDMT (mean z-score -0.26 ?+/- 1.15 for AOMS vs. 0.68 ?+/- 1.53 for POMS, p=0.01) and slower on the Cogstate composite (mean z-score of -1.04 ?+/- 1.09 for AOMS vs. 0.35 ?+/- 1.15 for POMS, p=0.04). Estimated premorbid IQ was correlated with SDMT, but not Cogstate performance (r=0.56 p=0.001 and r=0.13 p=0.35, respectively). Age of disease onset was significantly negatively correlated with cognitive processing (SDMT: r= -0.32, p= 0.01 and Cogstate DET: r= -0.33, p=0.02), further indicating that older age of onset is associated with greater cognitive impairment.
Conclusion(s): Adult MS is associated with larger cognitive involvement than pediatric MS

Background: Adaptable cognitive training interventions are accessible online from home for people with multiple sclerosis (PwMS), including for those with limited mobility, and have been shown to significantly improve cognition relative to control treatments. However, individual responsiveness to treatment is highly variable. Baseline clinical and MRI factors may contribute to this variability.
Objective(s): To determine whether specific baseline clinical and neuropathological MRI factors predict the success of online cognitive training in PwMS.
Method(s): 46 PwMS (30 RRMS, 16 PMS) were recruited for a 12-week home-based cognitive rehabilitation program. Subjects were recruited from a cohort of individuals with MRI previously collected (~2.3 years prior) for a larger study (Zivadinov, et al., 2017). Baseline and follow-up neuropsychological assessment included standard tests of cognition (SDMT, BVMTR, CVLT-II) and executive function (DKEFS), as well as clinical questionnaires. Participants were asked to complete 5 training sessions per week for approximately 50 minutes per session. Forward stepwise selection was applied using baseline clinical measures, including age, sex, EDSS, fatigue, depression, personality, disease course, and education, to predict longitudinal change in SDMT performance following rehabilitation from brain MRI measures. A separate, analogous regression analysis was applied to investigate MRI predictors of SDMT performance improvement, and included lateral ventricular volume (LVV), gray matter volume (GMV), and T2 lesion volume (T2LV).
Result(s): Disease course (RRMS vs PMS) was a statistically significant clinical predictor of improvement on SDMT performance following rehabilitation (beta=-0.336, p=0.026). The RRMS subgroup showed a 4.34 +/-5.74 point improvement (p< 0.0001), while there was no significant change in the PMS group (0.25 +/-4.73 points, p=0.835). Among MRI measures, baseline GMV was significantly related to improvement on SDMT performance (beta=0.367, p=0.014).
Conclusion(s): Remote cognitive rehabilitation therapy is more effective for individuals with RRMS, rather than those with PMS. Furthermore, increased baseline GMV is also predictive of greater cognitive improvement following rehabilitation

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 contributing factors.
Objective(s): To compare socio-economic and clinical characteristics of a large population of AA and CA people with MS.
Method(s): MS PATHS is a network of 10 large MS centers located in the United States (7) and Europe (3); standardized collection of socio-demographic characteristics, including self-reported racial identity, as well as 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 racial identities who provided socio-economic and MS characteristics. We compared AA vs. CA with respect to socio-economic and MS metrics including disability (via Patient Determined Disease Steps [PDDS]) and objective neurological outcomes (via walking speed, manual dexterity and processing speed) using generalized linear models, as appropriate. Models for PDDS and neurologic outcomes were adjusted for age, sex, disease subtype and duration, employment, insurance status.
Result(s): Of US-based eligible participants in MS PATHS, 909 (14%) identify as AAs while 5842 (86%) identify as CAs and were included in the analyses. Relative to CAs, AAs tended to be younger (Mean 49.7y [standard deviation; SD: 12.3y] vs. 45.6y [12.5]; p< 0.0001), have fewer years of education (14.8y [2.6] vs. 14.1y [2.8]; p< 0.0001), have Medicaid insurance (48% vs. 30%; P< 0.0001) and be currently on disability or not working (29% vs. 39%; p< 0.0001). AAs had a 58% multivariable-adjusted higher odds of severe vs. mild disability relative to CAs (OR: 1.56; 95% CI: 1.21-2.02). They also had significantly slower walking and manual dexterity speeds (multivariable-adjusted mean %difference [95% CI]: 25-foot walking speed: 10% slower [7%-13%]; manual dexterity: 7% slower [5%-9%]) and significantly lower processing speed scores (multivariable-adjusted mean difference-4.32 [-5.09-3.56]).
Conclusion(s): In this large sample of AA and CA people with MS, self-reported AA identity was associated with indicators of lower socio-economic status and with greater disease severity across a broad array of neurological assessments

OBJECTIVE:Cognitive impairment is a common symptom of multiple sclerosis (MS) that can lead to declines in daily functioning. Timed instrumental activities of daily living (TIADLs) have been useful to bridge between cognitive testing and real-world functioning in disorders such as Alzheimer's disease and other dementias. However, these have not been standardized for general use, and the tasks that are typically employed have not been sensitive to the detection of milder forms of cognitive deficits. We developed a test of ten TIADLs tasks to measure a broader range of functioning, entitled the "Test of Everyday Cognitive Ability" or TECA, and tested its utility in a diverse sample of participants with MS. METHOD/METHODS:TECA performance was characterized in n = 177 participants with MS and compared to healthy controls (n = 49). A subset from each group received repeated administration. In addition, all participants completed a standard battery of neuropsychological measures. RESULTS:TECA performances were significantly different between MS and control participants. Further, MS participants with cognitive impairment performed significantly slower relative to those MS participants without impairment. CONCLUSIONS:The TECA is a TIADLs assessment appropriate for use in those with MS as it includes a broad range of task difficulties, requires minimum motor involvement, and is sensitive to MS-related cognitive impairment. The TECA is a brief and repeatable test of TIADLs and its ease of administration makes it suitable for both clinical practice and research settings.

OBJECTIVE: To explore the efficacy of remotely-supervised transcranial direct current stimulation (RS-tDCS) paired with cognitive training (CT) exercise in participants with multiple sclerosis (MS). METHODS: In a feasibility study of RS-tDCS in MS, participants completed ten sessions of tDCS paired with CT (1.5 mA x 20 min, dorsolateral prefrontal cortex montage). RS-tDCS participants were compared to a control group of adults with MS who underwent ten 20-min CT sessions through the same remotely supervised procedures. Cognitive outcomes were tested by composite scores measuring change in performance on standard tests (Brief International Cognitive Assessment in MS or BICAMS), basic attention (ANT-I Orienting and Attention Networks, Cogstate Detection), complex attention (ANT-I Executive Network, Cogstate Identification and One-Back), and intra-individual response variability (ANT-I and Cogstate identification; sensitive markers of disease status). RESULTS: After ten sessions, the tDCS group (n = 25) compared to the CT only group (n = 20) had significantly greater improvement in complex attention (p = 0.01) and response variability (p = 0.01) composites. The groups did not differ in measures of basic attention (p = 0.95) or standard cognitive measures (p = 0.99). CONCLUSIONS: These initial findings indicate benefit for RS-tDCS paired with CT in MS. Exploratory analyses indicate that the earliest tDCS cognitive benefit is seen in complex attention and response variability. Telerehabilitation using RS-tDCS combined with CT may lead to improved outcomes in MS.

BACKGROUND:Neuropsychiatric disorders are a leading source of disability and require novel treatments that target mechanisms of disease. As such disorders are thought to result from aberrant neuronal circuit activity, neuromodulation approaches are of increasing interest given their potential for manipulating circuits directly. Low intensity transcranial electrical stimulation (tES) with direct currents (transcranial direct current stimulation, tDCS) or alternating currents (transcranial alternating current stimulation, tACS) represent novel, safe, well-tolerated, and relatively inexpensive putative treatment modalities. OBJECTIVE:This report seeks to promote the science, technology and effective clinical applications of these modalities, identify research challenges, and suggest approaches for addressing these needs in order to achieve rigorous, reproducible findings that can advance clinical treatment. METHODS:The National Institute of Mental Health (NIMH) convened a workshop in September 2016 that brought together experts in basic and human neuroscience, electrical stimulation biophysics and devices, and clinical trial methods to examine the physiological mechanisms underlying tDCS/tACS, technologies and technical strategies for optimizing stimulation protocols, and the state of the science with respect to therapeutic applications and trial designs. RESULTS:Advances in understanding mechanisms, methodological and technological improvements (e.g., electronics, computational models to facilitate proper dosing), and improved clinical trial designs are poised to advance rigorous, reproducible therapeutic applications of these techniques. A number of challenges were identified and meeting participants made recommendations made to address them. CONCLUSIONS:These recommendations align with requirements in NIMH funding opportunity announcements to, among other needs, define dosimetry, demonstrate dose/response relationships, implement rigorous blinded trial designs, employ computational modeling, and demonstrate target engagement when testing stimulation-based interventions for the treatment of mental disorders.