Faculty Bibliography

Effective mild cognitive impairment (MCI) screening requires accessible testing. This study compared two tests for distinguishing MCI patients from controls: Rapid Automatized Naming (RAN) for naming speed and Low Contrast Letter Acuity (LCLA) for sensitivity to low contrast letters. Two RAN tasks were used: the Mobile Universal Lexicon Evaluation System (MULES, picture naming) and Staggered Uneven Number test (SUN, number naming). Both RAN tasks were administered on a tablet and in a paper/pencil format. The tablet format was administered using the Mobile Integrated Cognitive Kit (MICK) application. LCLA was tested at 2.5% and 1.25% contrast. Sixty-four participants (31 MCI, 34 controls; mean age 73.2 ± 6.8 years) were included. MCI patients were slower than controls for paper/pencil (75.0 vs. 53.6 sec, p < 0.001), and tablet MULES (69.0 sec vs. 50.2 sec, p = 0.01). The paper/pencil SUN showed no significant difference (MCI: 59.5 sec vs. controls: 59.9 sec, p = 0.07), nor did tablet SUN (MCI: 59.3 sec vs. controls: 55.7 sec, p = 0.36). MCI patients had worse performance on LCLA testing at 2.5% contrast (33 letters vs. 36, p = 0.04*) and 1.25% (0 letters vs. 14. letters, p < 0.001). Receiver operating characteristic (ROC) analysis showed similar performance of paper/pencil and tablet MULES in distinguishing MCI from controls (AUC = 0.77), outperforming both SUN (AUC = 0.63 paper, 0.59 tablet) and LCLA (2.5% contrast: AUC = 0.65, 1.25% contrast: AUC = 0.72). The MULES, in both formats, may be a valuable screening tool for MCI.

Sleep disturbances are prominent across neurodevelopmental disorders (NDDs) and may reflect specific abnormalities in brain development and function. Overnight polysomnography (PSG) allows for detailed investigation of sleep architecture, offering a unique window into neurocircuit function. Analysis of existing pediatric PSGs from clinical studies could enhance the availability of sleep studies in pediatric patients with NDDs towards a better understanding of mechanisms underlying abnormal development in NDDs. Here, we introduce and characterize a retrospective collection of 1527 clinical pediatric overnight PSGs across five different sites. We first developed an automated stager trained on independent pediatric sleep data, which yielded better performance compared to a generic stager trained primarily on adults. Using consistent staging across cohorts, we derived a panel of EEG micro-architectural features. This unbiased approach replicated broad trajectories previously described in typically developing sleep architecture. Further, we found sleep architecture disruptions in children with Down's Syndrome (DS) that were consistent across independent cohorts. Finally, we built and evaluated a model to predict age from sleep EEG metrics, which recapitulated our previous findings of younger predicted brain age in children with DS. Altogether, by creating a resource pooled from existing clinical data we expanded the available datasets and computational resources to study sleep in pediatric populations, specifically towards a better understanding of sleep in NDDs. This Retrospective Analysis of Sleep in Pediatric (RASP) cohorts dataset, including staging annotation derived from our automated stager, is deposited at https://sleepdata.org/datasets/rasp.

Neurologists engaged in meaningful and satisfying work are positioned to advance the field through research, education, and patient care. On the other hand, neurologists are at elevated risk for burnout and career dissatisfaction, influenced by personal characteristics but driven primarily by external factors at work unit, organizational, and systemic/societal levels. Recognizing and attending to the full range of factors that influence neurologist well-being is necessary to avoid detrimental consequences on patients, clinicians, organizations, and public health. This discussion will review the current state of well-being in neurology, explore drivers and outcomes, and present strategies for improving career satisfaction.

Isocitrate dehydrogenase (IDH) mutant glioma is a malignant primary brain tumor diagnosed in adults. In recent years, there has been significant progress in understanding the molecular pathogenesis and biology of these tumors. The first targeted IDH-inhibitor was approved by the US Food and Drug Administration in August 2024 for grade 2 gliomas, in light of results of a phase III trial which showed significant advantages in progression-free survival. However, biologic therapy is not curative, and subsequent treatment options offer only limited clinical benefit and often result in long-term toxicities. In addition, targeted treatment options for grade 3 and grade 4 IDH-mutant gliomas are still missing. In this study, we present n=52 patients with glioma (grade 2, 3 and 4) with confirmed IDH1 mutation (mutIDH1) in the newly diagnosed and recurrent setting who, in addition to standard-of-care, received a personalized neoantigen-targeting peptide vaccine. Each tumor was initially analyzed for somatic mutations by whole exome sequencing, and a peptide vaccine containing potential neoepitopes was designed, manufactured and vaccinated. Each vaccine consisted of peptides derived from numerous somatic mutations, including at least one peptide targeting the mutIDH1.Vaccine immunogenicity was determined by intracellular cytokine staining and simultaneous measurement of four T-cell activation markers (Interferon-γ, Tumor Necrosis Factor, Interleukin-2, CD154) after 12-day in vitro expansion of pre and post vaccination peripheral blood mononuclear cells. Extracellular CD154 staining was used to sort mutIDH1-specific CD4+T cells.Immunomonitoring revealed that the vaccines were immunogenic and induced mainly CD4 but also CD8 T cell responses. Vaccine-induced immune responses were robust and polyfunctional. Immunogenicity against mutIDH1 was high (89%). We implemented an assay which allowed us to isolate functional antigen-specific CD4+T cells in an HLA-independent manner. Subsequent T cell receptor (TCR) repertoire sequencing revealed that CD4+T cells reacting on mutIDH1 stimulation were polyclonal. Strikingly, we detected two mutIDH1-specific TCRβ candidate sequences in three different patients. These three patients had the same human leukocyte antigen (HLA) DQA-DQB alleles. The obtained TCRβ sequences could be tracked in autologous ex-vivo single-cell transcriptomic data. Our results provide a rationale for pursuing vaccination and T cell transfer strategies targeting IDH1. Furthermore, our findings indicate that personalized neoantigen-targeting vaccines might be considered for the treatment of IDH1-mutant gliomas.

The proposed Neuronal α-Synuclein Disease Integrated Staging System (NSD-ISS) was recently applied to early Parkinson's disease (PD) cohorts. We applied this research framework to the BioFIND study cohort, which includes more moderately advanced PD participants with clinically established PD. Disease durations within each ISS stage were highly variable. Cognitive and non-motor anchors had little weight in determining staging. The analysis highlights strengths and limitations of NSD-ISS to guide further refinement of an integrated staging system.

Sentence production is the uniquely human ability to transform complex thoughts into strings of words. Despite the importance of this process, language production research has primarily focused on single words. It remains a largely untested assumption that the principles of word production generalize to more naturalistic utterances like sentences. Here, we investigate this using high-resolution neurosurgical recordings (ECoG) and an overt production experiment where ten patients produced six words in isolation (picture naming) and in sentences (scene description). We trained machine learning classifiers to identify the unique brain activity patterns for each word during picture naming, and used these patterns to decode which words patients were processing while they produced sentences. Our findings confirm that words share cortical representations across tasks, but reveal a division of labor within the language network. In sensorimotor cortex, words were consistently activated in the order in which they were said in the sentence. However, in prefrontal cortex, the order in which words were processed depended on the syntactic structure of the sentence. In non-canonical sentences (passives), we further observed a spatial code for syntactic roles, with subjects selectively encoded in inferior frontal gyrus (IFG) and objects selectively encoded in middle frontal gyrus (MFG). We suggest that these complex dynamics of prefrontal cortex may impose a subtle pressure on language evolution, potentially explaining why nearly all the world's languages position subjects before objects.

Alzheimer's disease (AD) is characterized by the deposition of full-length and truncated amyloid beta (Aβ) species within brain parenchyma and cerebral vessels. However, Aβ truncated species remain understudied. Here, we present a protocol for culture and characterization of a mouse monoclonal antibody targeting N-terminally truncated proteoforms starting at position 4. We describe a detailed procedure for hybridoma culture, antibody collection, and isolation via affinity chromatography. We then describe steps for target validation via dot blot, as well as potential applications. For complete details on the use and execution of this protocol, please refer to Cabrera et al. and Rostagno et al.¹

BACKGROUND:Clinical evaluation of distal symmetric polyneuropathy (DSP), which can include small fiber neuropathy (SFN), differs among neurologists, neuromuscular specialists, and internists. The American Academy of Neurology (AAN) 2009 Practice Parameter guides evaluation of DSP, but there are no guidelines or AAN practice parameters for the evaluation of SFN. OBJECTIVE:Determine how neurologists evaluate and test for SFN in their clinical practice and compare responses between neuromuscular (NM) and non-neuromuscular specialists (non-NM). DESIGN/METHODS/METHODS:Eight hundred randomly selected AAN members, which included 400 members who indicated NM medicine to be a primary or secondary specialty, were selected to answer a survey about SFN. Respondents answered a survey instrument with a list of 44 serum tests and procedures for different neuropathy clinical scenarios. RESULTS:The survey response rate was 29.3% (234/798), with 48.8% (N = 114) indicating that their primary specialty was neuromuscular. For an initial evaluation of distal symmetric SFN, respondents ordered a mean of 12 tests (SD 5.8) with a range of 0-26 tests. There was no statistically significant difference between the mean number of tests ordered by neuromuscular versus non-neuromuscular specialists. The 5 most common overall responses were complete blood count (87%), vitamin B12 (86%), basic metabolic panel (84%), thyroid stimulating hormone (78%), and hemoglobin A1c (77%). For a secondary evaluation of etiologies of distal symmetric SFN, 52% of non-neuromuscular specialists (95% CI, 42%-61%) versus 35% of neuromuscular specialists (95% CI, 26%-45%) would order a paraneoplastic panel. There was significant disparity in ordering a skin biopsy for intraepidermal nerve fiber density, with 65% of neuromuscular specialists (95% CI, 55%-74%) indicating that they would order this test compared with 38% of non-neuromuscular specialists (95% CI, 29%-48%). CONCLUSIONS:The recommended studies with the highest yield for finding a cause of DSP were not universally ordered. There is variability in approaches to diagnosing SFN and searching for a possible etiology. The development of an AAN practice parameter for SFN may help promote consistent practice among neurologists of all subspecialties.

BACKGROUND AND OBJECTIVES/UNASSIGNED:"Brain-writing" is a technique in which group members write down ideas individually, before a group discussion, to improve idea generation and individual engagement in group discussions. We assessed the feasibility of studying the impact of brain-writing on diagnostic quality and educational experience among neurology residents in a small case-based learning environment. METHODS/UNASSIGNED:We conducted a repeated-measures study, conducted over 6 sessions consisting of groups of 3 to 5 neurology residents from different years of training. During each session, 3 cases were treated as control, "brainstorming," cases, and 3 were intervention, "brain-writing," cases, in which the group wrote down possible diagnoses and tests before engaging in a group discussion. Tests and diagnoses from the brain-writing exercise and group discussion as well as a post case survey on participant experience were recorded through a Qualtrics survey, and video recordings were reviewed to determine speaking order and number of tests and diagnoses verbalized by each member. Feasibility was determined by recruitment and ability to complete the study procedures in a pragmatic fashion that incorporated resident education. The primary outcome was accuracy of diagnoses, and secondary outcomes included number of tests and diagnoses generated, percent of "can't miss diagnoses mentioned," speaking order and psychological reactions of group members. RESULTS/UNASSIGNED:= 0.07). Junior residents spoke later and verbalized significantly fewer diagnoses and tests than senior residents in both brainstorming and brain-writing groups. There was no statistically significant difference in psychological outcomes of junior and senior residents in each group. DISCUSSION/UNASSIGNED:It is feasible to examine the impact of a behavioral-based intervention among medical trainees in a small case-based learning environment. This study, limited by a small sample size, did not find that brain-writing improved decision quality.

The landscape of Down syndrome-associated Alzheimer's disease (DSAD) research reflects decades of scientific endeavor and collaborative effort, charting a remarkable journey from initial observations to the elucidation of complex genetic and molecular mechanisms. This perspective article chronicles key milestones and breakthroughs, paying homage to the pioneering scientists and advancements that have shaped the field. A thorough review of historical and contemporary literature offers a comprehensive narrative, highlighting the evolution of knowledge surrounding DSAD, from early recognition to the characterization of clinical presentation and natural history. The unique challenges and ethical considerations associated with DSAD populations are also examined, underscoring the importance of tailoring research and clinical approaches. By reflecting on the field's trajectory, this work celebrates past achievements while emphasizing the critical need for sustained research efforts. As part of a special issue, this article provides a foundation for appreciating the challenges and opportunities that lie ahead in advancing DSAD understanding and care. HIGHLIGHTS: This article provides a comprehensive overview of Down syndrome-associated Alzheimer's disease (DSAD) history, from early descriptions to its recognition as a genetic form of AD. It reflects on historical challenges faced by individuals with intellectual disabilities in achieving inclusion in scientific research. This historical perspective highlights the critical contributions of individuals with DS in advancing understanding of AD natural history. It explores pivotal milestones and efforts that have driven progress in DSAD research. Finally, it provides context to understand challenges and opportunities in DSAD research and its future directions.