Faculty Bibliography

Naturalistic electrocorticography (ECoG) data are a rare but essential resource for studying the brain's linguistic capabilities. ECoG offers high temporal resolution suitable for investigating processes at multiple temporal timescales and frequency bands. It also provides broad spatial coverage, often along critical language areas. Here, we share a dataset of nine ECoG participants with 1,330 electrodes listening to a 30-minute audio podcast. The richness of this naturalistic stimulus can be used for various research questions, from auditory perception to narrative integration. In addition to the neural data, we extracted linguistic features of the stimulus ranging from phonetic information to large language model word embeddings. We use these linguistic features in encoding models that relate stimulus properties to neural activity. Finally, we provide detailed tutorials for preprocessing raw data, extracting stimulus features, and running encoding analyses that can serve as a pedagogical resource or a springboard for new research.

The effectiveness of COVID-19 vaccination in children and adolescents with prior SARS-CoV-2 infection remains unclear, particularly for Omicron subvariants. We evaluated vaccine effectiveness against reinfection with Omicron BA.1/2, BA.4/5, XBB, and later subvariants among 5- to 17-year-olds using data from the RECOVER initiative, a national electronic health record database covering 37 U.S. pediatric institutions. We emulated target trials by age group and variant period, comparing previously infected participants between January 2022 and August 2023. During the BA.1/2 period, vaccination reduced the risk of reinfection, with effectiveness rates of 62% in children and 65% in adolescents. During the BA.4/5 period, protection effectiveness in children was 57%, whereas no statistically significant protection was observed in adolescents. During the XBB or later period, no significant protection was observed in either group. In summary, COVID-19 vaccination provided protection against reinfection during early and mid-Omicron periods in previously infected pediatric populations, but effectiveness declined for later variants.

PURPOSE/UNASSIGNED:To investigate the fairness of existing deep models for diabetic retinopathy (DR) detection and introduce an equitable model to reduce group performance disparities. METHODS/UNASSIGNED:We evaluated the performance and fairness of various deep learning models for DR detection using fundus images and optical coherence tomography (OCT) B-scans. A Fair Adaptive Scaling (FAS) module was developed to reduce group disparities. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), and equity across various groups was assessed by equity-scaled AUC, which accommodated both overall AUC and AUCs of individual groups. RESULTS/UNASSIGNED:Using color fundus images, the integration of FAS with EfficientNet improved the overall AUC and equity-scaled AUC from 0.88 and 0.83 to 0.90 and 0.84 (P < 0.05) by race. AUCs for Asians and Whites increased by 0.05 and 0.03, respectively (P < 0.01). For gender, both metrics improved by 0.01 (P < 0.05). Using DenseNet121 on OCT B-Scans by race, FAS improved the overall AUC and equity-scaled AUC from 0.875 and 0.81 to 0.884 and 0.82, with gains of 0.03 and 0.02 for Asians and Blacks (P < 0.01). For gender, DenseNet121's metrics rose by 0.04 and 0.03, with gains of 0.05 and 0.04 for females and males (P < 0.01). CONCLUSIONS/UNASSIGNED:Deep learning models demonstrate varying accuracies across different groups in DR detection. FAS improves equity and accuracy of deep learning models. TRANSLATIONAL RELEVANCE/UNASSIGNED:The proposed deep learning model has a potential to improve both model performance and equity of DR detection.

Fahr disease is a rare neurodegenerative syndrome characterized by abnormal symmetric calcium deposition in the white matter, cerebral cortex, deep gray, and cerebellar nuclei. The characteristic CT pattern is well known, but descriptions of molecular imaging in Fahr disease remain sparse. We present the characteristic imaging patterns of Fahr disease by CT, I-123-Ioflupane SPECT, and integrated FDG PET/MRI in a single patient.

Almost all individuals with Down Syndrome (DS) develop Alzheimer's disease (AD) by mid to late life. However, the degree to which AD in DS shares pathological changes with sporadic late-onset AD (LOAD) and autosomal dominant AD (ADAD) beyond core AD biomarkers such as amyloid-β (Aβ) and tau is unknown. Here, we used proteomics of cerebrospinal fluid from individuals with DS (n = 229) in the Down Alzheimer Barcelona Neuroimaging Initiative (DABNI) cohort to assess the evolution of AD pathophysiology from asymptomatic to dementia stages and compared the proteomic biomarker changes in DS to those observed in LOAD and ADAD. Although many proteomic alterations were shared across DS, LOAD, and ADAD, DS demonstrated more severe changes in immune-related proteins, extracellular matrix pathways, and plasma proteins likely related to blood-brain barrier dysfunction compared to LOAD. These changes were present in young adults with DS prior to the onset of Aβ or tau pathology, suggesting they are associated with trisomy 21 and may serve as risk factors for DSAD. DSAD showed an earlier increase in markers of axonal and white matter pathology and earlier changes in markers potentially associated with cerebral amyloid angiopathy compared to ADAD. The unique features of DSAD may have important implications for treatment strategies in this population.

INTRODUCTION/UNASSIGNED:. AREAS COVERED/UNASSIGNED:The authors searched PubMed, GoogleScholar, and clinicaltrials.gov for all types of studies regarding the genetic basis of FD and recent advances in the development of disease-modifying therapies, including publications available through November 2025. EXPERT OPINION/UNASSIGNED:Experimental evidence indicates that boosting ELP1 protein levels could halt disease progression. Several small molecules and genetic therapies have shown the ability to enhance wild-type ELP1 mRNA and protein expression in animal models. An ongoing N-of-1 clinical trial is evaluating the intrathecal administration of an antisense oligonucleotide (ASO) designed to correct the splicing defect in an individual with FD. Combining small molecules, such as optimized potent oral kinetin derivatives, with intrathecal antisense oligonucleotides (ASOs) and intravitreal gene therapy using viral vectors presents a synergistic therapeutic approach to elevate ELP1 levels. Assessing the efficacy and safety of these targeted strategies will require innovative, well-designed clinical trials.

Parkinson's disease (PD) is a neurodegenerative disease characterized by motor and non-motor symptoms that progressively deteriorate and for which there is no disease-modifying pharmacological treatment. Exercise is widely recommended for individuals with PD due to its potential neuroprotective benefits. However, the mechanisms underlying these exercise-induced effects in PD remain poorly understood. Analyzing fluid biomarkers responsive to exercise could offer valuable insights into the mechanisms by which exercise impacts PD and aid in optimizing exercise prescriptions for individuals with PD. This review explores exercise-responsive biomarkers categorized into three key groups-neurotrophic, inflammatory, and neuroendocrine markers. It highlights both well-validated biomarkers and candidates with promising potential. We also highlight key biomarkers linked to PD pathology, such as α-synuclein, and their potential connection to exercise based on current evidence. Comprehensive characterization of these biomarkers will advance our understanding of the biological effects of exercise in PD, enabling mechanism-based and objective measures to evaluate exercise response in future clinical trials and its impact on PD signs and symptoms.

BACKGROUND AND OBJECTIVES/OBJECTIVE:The aim of this study was to identify distinct inflammatory response subtypes in patients with c-NORSE by analyzing their cytokine profiles. Insights into underlying mechanisms were sought to understand the pathophysiology and guide personalized therapies to improve patient outcomes. METHODS:Sixty-two patients with c-NORSE were included. A comprehensive panel of 96 cytokines was analyzed in serum samples. Patients were clustered based on their cytokine profiles using the Louvain algorithm, an unsupervised graph-based clustering method. The identified clusters of patients were compared regarding cytokine levels and clinical features. Protein pathway analysis was used to explore the biological relevance of the inflammatory markers within each cluster. Patients with c-NORSE were compared with control patients (n = 18) and patients with other forms of refractory SE (n = 45). RESULTS:Compared with controls, patients with c-NORSE exhibited significant differences in 33 cytokines. Pathway analysis revealed dysregulations in chemotaxis and neutrophil recruitment and migration, highlighting the importance of innate immunity in patients with c-NORSE. Within the c-NORSE cohort, 3 clusters of patients emerged: cluster A, lacking specific inflammatory markers; cluster B, with a much stronger innate-immunity cytokine-driven inflammatory response compared with clusters A and C; and cluster C, defined by dysregulated autoimmune processes. Notably, patients in cluster B showed a statistically significant elevation of innate immune-related proinflammatory cytokines associated with leukocyte recruitment and degranulation. By contrast, those in cluster C showed activation of Janus kinase signal transducer and activator of transcription (JAK-STAT) pathways, suggesting autoimmune mechanisms. Patients in clusters B and C demonstrated varied responses to immunotherapies, with cluster C patients showing favorable outcomes after multiple immunotherapies. DISCUSSION/CONCLUSIONS:The identification of distinct inflammatory subgroups in c-NORSE suggests that variations in the underlying immune mechanisms contribute to differential treatment responses. These findings underscore the importance of personalized therapeutic strategies, potentially targeting specific inflammatory pathways, to optimize clinical outcomes in this challenging condition.

BACKGROUND:Familial adult myoclonus epilepsy (FAME) is a rare autosomal dominant disorder caused by the same intronic TTTTA/TTTCA repeat expansion in seven distinct genes. TTTTA-only expansions are benign, whereas those containing TTTCA insertions are pathogenic. OBJECTIVE:We investigated the genetic basis of dominant cortical myoclonus without seizures in two unrelated families. METHODS:Repeat-primed polymerase chain reaction (PCR), long-range PCR, and nanopore sequencing were used to detect and characterize expansions at known FAME loci. RESULTS:We identified a novel repeat expansion in MARCHF6, comprising 388 to 454 elongated TTTTA repeats and 5 to 11 TTTCA repeats at the 3'-terminus, segregating with cortical myoclonus in 8 affected individuals. This configuration shows meiotic stability but low-level somatic variability in blood. We observed an inverse correlation between the number of TTTCA repeats and the age at myoclonus onset. CONCLUSIONS:These findings indicate that as little as five TTTCA repeats combined with expanded TTTTA repeats can cause cortical myoclonus without epilepsy, highlighting the potential mechanisms underlying FAME pathophysiology. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.