Faculty Bibliography

In efforts to understand the cognitive heterogeneity within and across epilepsy syndromes, cognitive phenotyping has been proposed as a new taxonomy aimed at developing a harmonized approach to cognitive classification in epilepsy. Data- and clinically driven approaches have been previously used with variability in the phenotypes derived across studies. In our study, we utilize latent profile analysis to test several models of phenotypes in a large multicentre sample of patients with temporal lobe epilepsy and evaluate their demographic and clinical profiles. For the first time, we examine the added value of replacing missing data and examine factors that may be contributing to missingness. A sample of 1178 participants met the inclusion criteria for the study, which included a diagnosis of temporal lobe epilepsy and the availability of comprehensive neuropsychological data. Models with two to five classes were examined using latent profile analysis and the optimal model was selected based on fit indices, posterior probabilities and proportion of sample sizes. The models were also examined with imputed data to investigate the impact of missing data on model selection. Based on the fit indices, posterior probability and distinctiveness of the latent classes, a three-class solution was the optimal solution. This three-class solution comprised a group of patients with multidomain impairments, a group with impairments predominantly in language and a group with no impairments. Overall, the multidomain group demonstrated a worse clinical profile and comprised a greater proportion of patients with mesial temporal sclerosis, a longer disease duration and a higher number of anti-seizure medications. The four-class and five-class solutions demonstrated the lowest probabilities of a group membership. Analyses with imputed data demonstrated that the four-class solution was the optimal solution; however, there was a weak agreement between the missing and imputed data sets for the four-Class solutions (κ = 0.288, P < 0.001). This study represents the first to use latent profile analysis to test and compare multiple models of cognitive phenotypes in temporal lobe epilepsy and to determine the impact of missing data on model fit. We found that the three-phenotype model was the most meaningful based on several fit indices and produced phenotypes with unique demographic and clinical profiles. Our findings demonstrate that latent profile analysis is a rigorous method to identify phenotypes in large, heterogeneous epilepsy samples. Furthermore, this study highlights the importance of examining the impact of missing data in phenotyping methods. Our latent profile analysis-derived phenotypes can inform future studies aimed at identifying cognitive phenotypes in other neurological disorders.

Introduction: Treatment of pediatric MS is challenging as most disease-modifying therapies (DMT) lack efficacy data in children, including switching from first-line platform DMT. Objectives/Aims: To assess real-world effectiveness of switching DMT in patients initially treated with platform injectable DMT on disease activity in pediatric MS and CIS.
Method(s): This is a cohort study of children with MS/CIS at 12 clinics in the US Network of Pediatric MS Centers, who received initial therapy with platform injectable (interferon-beta, glatiramer acetate) and switched to the other class of injectable, oral (dimethyl fumarate, fingolimod, teriflunomide) or infusion (natalizumab, rituximab, ocrelizumab, alemtuzumab) DMT. Relapse rate after switch to platform injectable, oral or infusion DMT was modeled with negative binomial regression, adjusted for pre-identified confounders (age at onset, disease duration, sex, race/ethnicity, body mass index, first event severity and localization, baseline annualized relapse rate (ARR), MRI new T2 lesions, MRI gadolinium-enhancing lesions, EDSS).
Result(s): 212 children switched DMT before 18 years (67% female, 95% MS). Of these, 93 switched from injectable to injectable, 76 injectable to oral and 43 injectable to infusion. Compared to switching to another injectable, switchers to oral or infusion were older at onset (injectable 12.3 years vs oral 13.5, infusion 14.2) and switch date (injectable 14.6 years vs oral 16, infusion 15.7), and switchers to infusion were more likely to have new enhancing lesions prior to switch (injectable 45% vs oral 28%, infusion 67%). Other baseline characteristics were not significantly different between groups. In adjusted analysis, compared to switchers from injectable to injectable (ARR 0.59, 95%CI 0.28-1.26), relapse rates were lower for switchers from injectable to oral (ARR 0.22, 95%CI 0.10-0.48; rate ratio 0.38, 95%CI 0.21-0.69) and injectable to infusion (ARR 0.15, 95%CI 0.06-0.35; rate ratio 0.25, 95%CI 0.11-0.53) (p < 0.001). The adjusted number needed to treat to prevent 1 relapse with oral over injectable was 2.70 and infusion over injectable was 2.22.
Conclusion(s): Switching from platform injectable to oral or infusion as opposed to another injectable DMT led to better disease activity control of pediatric MS. Long-term safety data for oral and infusion DMTs are required

OBJECTIVE/UNASSIGNED:Cognitive involvement in pediatric multiple sclerosis (MS) relative to adult MS is less defined. This study advances our understanding by measuring cognitive performances in pediatric MS, adult MS, and pediatric healthy controls. METHODS/UNASSIGNED:Consecutive relapsing pediatric MS participants from the United States Network of Pediatric MS Centers were compared with pediatric healthy controls and adults with relapsing MS. Participants were compared on two screening batteries: the Brief International Cognitive Assessment for MS and the Cogstate Brief Battery. Results were transformed to age-normative z scores. RESULTS/UNASSIGNED: < 0.001). CONCLUSION/UNASSIGNED:Pediatric MS patients do not differ from healthy pediatric controls on cognitive screens but perform better than adults with MS.

OBJECTIVE:Although relatively costly and non-scalable, non-invasive neuromodulation interventions are treatment alternatives for neuropsychiatric disorders. The recent developments of highly-deployable transcranial electric stimulation (tES) systems, combined with mobile-Health technologies, could be incorporated in digital trials to overcome methodological barriers and increase equity of access. The study aims are to discuss the implementation of tES digital trials by performing a systematic scoping review and strategic process mapping, evaluate methodological aspects of tES digital trial designs, and provide Delphi-based recommendations for implementing digital trials using tES. METHODS:We convened 61 highly-productive specialists and contacted 8 tES companies to assess 71 issues related to tES digitalization readiness, and processes, barriers, advantages, and opportunities for implementing tES digital trials. Delphi-based recommendations (>60% agreement) were provided. RESULTS:The main strengths/opportunities of tES were: (i) non-pharmacological nature (92% of agreement), safety of these techniques (80%), affordability (88%), and potential scalability (78%). As for weaknesses/threats, we listed insufficient supervision (76%) and unclear regulatory status (69%). Many issues related to methodological biases did not reach consensus. Device appraisal showed moderate digitalization readiness, with high safety and potential for trial implementation, but low connectivity. CONCLUSIONS:Panelists recognized the potential of tES for scalability, generalizability, and leverage of digital trials processes; with no consensus about aspects regarding methodological biases. SIGNIFICANCE/CONCLUSIONS:We further propose and discuss a conceptual framework for exploiting shared aspects between mobile-Health tES technologies with digital trials methodology to drive future efforts for digitizing tES trials.

BACKGROUND:Transcranial direct current stimulation (tDCS) is a safe and well-tolerated noninvasive technique used for cortical excitability modulation. tDCS has been extensively investigated for its clinical applications; however further understanding of its underlying in-vivo physiological mechanisms remains a fundamental focus of current research. OBJECTIVES/OBJECTIVE:) using simultaneous MRI in healthy adults to provide a reference frame for its neurobiological mechanisms. METHODS:at three time points: pre-, during- and post- 15 minutes of 2.0 mA tDCS on left anodal dorsolateral prefrontal cortex. RESULTS:significantly increased by 5.9 % during-tDCS (175.68 ± 30.78 µmol/100g/min) compared to pre-tDCS (165.84 ± 25.32 µmol/100g/min; p = 0.0015), maintaining increased levels in post-tDCS (176.86 ± 28.58 µmol/100g/min). CONCLUSIONS:changes due to tDCS in healthy adults that may be incorporated in clinical studies to evaluate its therapeutic potential.

Background: Remotely-supervised transcranial direct current stimulation (RS-tDCS) is a telerehabilitation protocol that provides access to tDCS treatment to participants with aphasia in their homes using real-time monitoring via videoconference and overcomes barriers associated with in-person tDCS treatment of neurological disease. Aims: Two feasibility studies for participants with aphasia are presented herein that investigate (1) RS-tDCS procedural implementation, acceptability, and demand, and (2) acceptability of ten repeated consecutive RS-tDCS sessions. Methods & Procedures: Thirteen participants with aphasia were enrolled in Study 1: (1) seven participants with stroke-induced latent aphasia, (2) four participants with stroke-induced clinically diagnosed aphasia, and (3) two participants with logopenic variant primary progressive aphasia (lvPPA). Four supervisors (1 certified speech-language pathologist [SLP], 3 graduate SLPs-in-training) were trained to supervise RS-tDCS and also provided survey responses. All participants participated in RS-tDCS training and a virtual simulation of home delivery. Two participants with stroke-induced aphasia (1 latent aphasia, 1 clinically diagnosed aphasia) were enrolled in 10 consecutive sessions of RS-tDCS alongside computerized treatment in their home for Study 2. Outcomes & Results: This work provides preliminary evidence for the feasibility of RS-tDCS for people with stable and progressive aphasia of varying severity and typology and includes both participant and clinician perspectives. Importantly, no major barriers to use of RS-tDCS were revealed for people with aphasia, though eHelpers were required for two participants. Conclusions: This work confirms that remotely supervised at-home tDCS studies can be used to enable much-needed efficacy trials, with sufficient sample size, power, and dosing considerations, that will determine the clinical efficacy of tDCS as a treatment adjuvant to aphasia treatment.

Since the outbreak of the COVID-19 pandemic, races across academia and industry have been initiated to identify and develop disease modifying or preventative therapeutic strategies has been initiated. The primary focus has been on pharmacological treatment of the immune and respiratory system and the development of a vaccine. The hyperinflammatory state ("cytokine storm") observed in many cases of COVID-19 indicates a prognostically negative disease progression that may lead to respiratory distress, multiple organ failure, shock, and death. Many critically ill patients continue to be at risk for significant, long-lasting morbidity or mortality. The human immune and respiratory systems are heavily regulated by the central nervous system, and intervention in the signaling of these neural pathways may permit targeted therapeutic control of excessive inflammation and pulmonary bronchoconstriction. Several technologies, both invasive and non-invasive, are available and approved for clinical use, but have not been extensively studied in treatment of the cytokine storm in COVID-19 patients. This manuscript provides an overview of the role of the nervous system in inflammation and respiration, the current understanding of neuromodulatory techniques from preclinical and clinical studies and provides a rationale for testing non-invasive neuromodulation to modulate acute systemic inflammation and respiratory dysfunction caused by SARS-CoV-2 and potentially other pathogens. The authors of this manuscript have co-founded the International Consortium on Neuromodulation for COVID-19 to advocate for and support studies of these technologies in the current coronavirus pandemic.