Faculty Bibliography

PURPOSE OF REVIEW/UNASSIGNED:Alzheimer disease (AD) and epilepsy are major causes of neurologic disability and are reciprocally related: epileptiform discharges, subclinical seizures, and epilepsy are more prevalent in patients with AD compared with controls; progressive cognitive impairment commonly afflicts epilepsy patients; and late-onset epilepsy patients have higher rates of new-onset dementia. RECENT FINDINGS/UNASSIGNED:Epidemiologic studies support shared risk factors (e.g., genetic variants, vascular disease, sleep disorders, microbiome) with notable divergences. AD and epilepsy have some overlapping anatomic (e.g., hippocampus, entorhinal, and association cortex), clinical (e.g., memory, attentional, and executive) impairments, and neuropathologic (e.g., amyloid, tau, neurofibrillary tangles) features. Shared clinical and translational challenges include underlying mechanisms (e.g., genetic variants, neuroinflammation, metabolic and mitochondrial dysfunction, excitatory/inhibitory imbalance, microbiome, and sociodemographic factors) and identifying valid and reliable biomarkers (e.g., total tau and phosphorylated tau (p-tau), amyloid deposition, Aβ42/Aβ40 ratio) to assess disease progression, predict outcomes, and assess potentially disease-modifying interventions. SUMMARY/UNASSIGNED:Identifying convergences and divergences between epilepsy and AD may inform our understanding. The clinical, neurophysiologic, neuropathologic, and molecular pathologic changes in AD and epilepsy may reveal pathophysiologic insights and therapeutic opportunities.

INTRODUCTION/BACKGROUND:This study aimed to explore the experience of living with amyotrophic lateral sclerosis (ALS) and to develop a conceptual model for this rare disease. METHODS:Concept elicitation interviews were conducted (January-September 2024) with people living with ALS (PLwALS; n = 31), caregivers (n = 20), and clinicians (n = 10). Qualitative data were analyzed separately to develop a conceptualization of the experience of living with ALS. Concept saturation was assessed every 5-6 interviews, and a conceptual model was developed. RESULTS:The mean age of PLwALS was 42.4 years (standard deviation [SD] 11.5), 81% were female, 84% were white, and 23% had SOD1-ALS. The mean time since diagnosis was 4.6 years (SD 4.2); mean normed Rasch Overall ALS Disability Scale score was 76 (SD 17.16). Signs, symptoms, and functions reported during PLwALS interviews included neuromuscular, bulbar, speech, neurocognitive (e.g., memory issues), and a range of physical functioning issues (e.g., motor coordination). PLwALS also reported impacts on a range of activities and psychosocial interactions (e.g., eating, depressed mood, and relationships), alongside management strategies they employed. Interviews with caregivers and clinicians supported findings from the PLwALS interviews. Caregivers also identified signs such as drooling/excess salivation, and impacts related to ALS management (e.g., need for writing aids). Clinicians additionally considered loss of speech and neurocognitive signs (e.g., behavior/personality change) as ALS clinical manifestations. Concept saturation was reached, and a consolidated, comprehensive conceptual model was developed. CONCLUSION/CONCLUSIONS:This research provides a holistic understanding of the experience of living with ALS and is the first conceptual model based on in-depth concept elicitation interviews. The findings highlight the range of signs, symptoms, and impacts that PLwALS experience, emphasizing its serious humanistic impact and high unmet need, and will help to guide patient-centric evaluation of clinical outcome assessments in future ALS studies.

PURPOSE/OBJECTIVE:The Unified Multiple System Atrophy Rating Scale (UMSARS) is widely used as an outcome measure in MSA trials, but it has limitations for clinical trial use. To address these, we developed the Multiple System Atrophy Combined Outcome Assessment (MuSyCA), a comprehensive multimodal tool for disease-modifying MSA trials. The purpose of this manuscript is to describe the development and validation plan for MuSyCA, with emphasis on its structure, intended use, and assessment of reliability, validity, and sensitivity in tracking disease progression. METHODS:The development of MuSyCA followed a multistep process. Candidate outcome assessments were identified through systematic literature review and analysis of longitudinal data from large MSA cohorts. Content was refined through multiple Delphi-like consensus rounds involving MSA experts, patient advocacy groups representatives, and industry stakeholders. Cognitive interviews conducted in 20  patients with MSA evaluated the clarity and clinical relevance of patient- and clinician-reported outcomes; feedback was incorporated into a subsequent version of the MuSyCA. Validation is ongoing and includes assessment of construct validity, internal consistency, test-retest reliability, and responsiveness. Longitudinal analyses to determine sensitivity to change over time are ongoing. RESULTS:MuSyCA combines patient- and clinician-reported outcomes, biomarkers (neurofilament light chain, neuroimaging), and performance-based measures to capture subjective and objective aspects of MSA progression, enhancing its utility  to detect treatment effects in clinical trials. MuSyCa is not intended to be used in clinical practice. CONCLUSIONS:MuSyCA offers a multidimensional approach to MSA assessment, supporting precise, disease-relevant evaluations in trials of putative disease-modifying therapies. Its validation will provide a standardized multimodal outcome measure, advancing MSA therapeutic development.

Childhood adversity is increasingly recognized as a critical modifier of neurologic disorder development and disease severity, including in the neuroimmune disorder multiple sclerosis (MS). While previous studies have linked early-life adversity to increased MS susceptibility and more severe disease, the underlying biological mechanisms remain poorly understood. This study investigated associations between childhood adversity and MS clinical features, with a focus on two potential pathogenic mechanisms: allostatic load and epigenetic modifications. We evaluated 60 consecutively enrolled young adults with MS; 30 with paediatric-onset MS (POMS) and 30 with adult-onset MS (AOMS). At time of enrolment in this cross-sectional study, participants had MS disease duration of 6 years on average. POMS participants were mean 22.09 (2.66) years and AOMS participants were mean 32.41 (2.19) years old. 62% of participants were female. Childhood adversity was defined using a composite index of individual, family and socioeconomic measures captured by the adverse childhood experiences questionnaire, parental education level and estimated household income during childhood. Clinical outcomes included patient-reported SymptoMScreen questionnaire regarding MS symptom burden and MS neurologist-assessed disability using the Expanded Disability Status Scale (EDSS) of the participant's neurologic exam at the time of enrolment. Circulating biomarkers of allostatic load and genome-wide epigenetic profiles (DNA methylation via RRBS; reduced representation bisulfite sequencing) were also assessed. A history of high childhood adversity was associated with significantly greater patient-reported MS symptom burden (P = 0.001) and higher neurologist-reported EDSS disability scores (P = 0.028), independent of disease duration or timing of treatment initiation. There were no differences between childhood adversity and circulating biomarkers of allostatic load. While childhood adversity was not associated with global epigenetic changes across the entire cohort, stratified analysis revealed divergent methylation patterns by age of MS onset: POMS participants with childhood adversity had increased DNA methylation, whereas AOMS participants with childhood adversity showed decreased methylation compared to individuals without childhood adversity. None of the observed clinical and biologic differences were explained by differences in disease duration or the interval between symptom onset and treatment initiation. Our findings suggest that childhood adversity is associated with increased MS symptom burden and neurologic disability in young adults with MS. Childhood adversity may differentially shape the epigenome, depending on the age of MS onset, with potential implications for disease trajectory and therapeutic vulnerability. These results support the biological embedding of childhood adversity in MS and highlight the need for age- and exposure-sensitive approaches to understanding MS pathogenesis across the lifespan.

PURPOSE OF REVIEW/OBJECTIVE:This review discusses the current state of the evidence related to the relationship between the cerebellum and epilepsy, highlighting evidence on neurostimulation of the cerebellum for treatment of epilepsy, and placing current knowledge into historical context. RECENT FINDINGS/RESULTS:The cerebellum plays an important role in certain epilepsy types, both as a key part of epileptic networks and an area that can give rise to seizures. Cerebellar stimulation as a potential treatment for drug-resistant epilepsy is a recurring, albeit niche, topic of interest. Over decades of intermittent, often highly limited investigations into this area of research, there are still more questions than answers. However, more recent preclinical insights point the way towards leveraging modern surgical techniques and technology in investigating cerebellar stimulation as a potential viable treatment approach to select types of epilepsy. SUMMARY/CONCLUSIONS:Cerebellar stimulation holds promise for improving seizure control in people with specific types of drug-resistant epilepsy. Future studies should leverage new preclinical data, along with modern technology, neurosurgical techniques, and clinical trial design, to help determine the optimal stimulation parameters, optimal stimulation targets, and optimal patient-selection for this promising area of investigation.

The convergence of artificial intelligence (AI) and neuroscience represents one of medicine's most profound intellectual partnerships. Neuronal architecture has inspired computational methods, while computational models, evolving from theoretical constructs to transformative clinical tools, are reshaping neurological practice. As AI systems attempt to augment diagnostic accuracy, treatment planning, and patient care, neurologists must develop fluency in these technologies to harness their potential while navigating their limitations and dangers. AI-related publications have exponentially increased in recent years, yet many neurologists lack the foundational computer science background needed to critically evaluate and most safely and effectively implement these tools in clinical practice. This article serves to outline the historical foundations linking neuroscience to computing, examine core concepts of the past and current AI landscape in neurology, and describe methodologies that aim to revolutionize neurological care.

BACKGROUND AND OBJECTIVES/OBJECTIVE:The link between repetitive head impact (RHI) exposure, later-life cognitive decline, and neurobehavioral dysregulation (NBD) is not well understood. Recent work has implicated inflammation and limbic dysfunction as relevant RHI correlates. Our goal was to integrate plasma and CSF inflammatory biomarkers, structural brain imaging, and clinical measures in former elite American football players to better understand reasons for RHI-related cognitive and neurobehavioral changes. METHODS: RESULTS: DISCUSSION/CONCLUSIONS:In former elite football players, elevated plasma and CSF inflammatory markers were associated with poorer limbic WM microstructure, which in turn related to worse cognition. Given the limbic system's role in cognition and behavior, inflammation may be a modifiable target for RHI-related neurodegeneration. Limitations include the cross-sectional design and limited generalizability to other contact sports, lower levels of play, female athletes, or other RHI sources.