Faculty Bibliography

OBJECTIVE:Diagnostic and treatment delays in infantile epileptic spasms syndrome (IESS) increase the risk of poor neurodevelopmental outcomes. Early clinical recognition of IESS is essential, especially in regions lacking expedited access to electroencephalograms (EEG). This study aimed to determine clinicians' accuracy at recognizing infantile epileptic spasms (ES) based on smartphone videos, and the impact of brief IESS education on accuracy, diagnostic confidence, and willingness to treat without EEG. METHODS:This multicenter prospective cohort study took place over seven sessions globally from 2022 to 2023. Smartphone videos of children from the US and South Africa with EEG-confirmed diagnoses of IESS (6 videos) and non-epileptic ES-mimickers (3 videos) were obtained. Staff physicians and trainee participants from multiple subspecialties worldwide viewed videos three times: (1) baseline viewing, (2) after brief IESS training, and (3) with clinical history. Surveys on diagnosis and management were completed after each viewing. RESULTS:Of 187 participants who attended a session and initiated a survey, 180 (80 trainees [44%]) met the inclusion criteria. Initial diagnostic accuracy averaged 64% (95% confidence interval [CI]: 62-66%) and improved to 72% (69-74%) after IESS training and clinical history (V + T + CHx). Area under the curve for diagnostic performance of smartphone videos was 0.80 (0.78-0.82), and sensitivity was 0.85 (0.83-0.88) after V + T + CHx. The odds of making a correct diagnosis increased by 86% (OR 1.86, CI 1.59-2.18, p < 0.001) after V + T + CHx. Diagnostic confidence and clinician comfort level treating ES without EEG also improved significantly after V + T + CHx (by 0.36 points and 0.45 points, respectively, on 5-point Likert scales, p < 0.001). Diagnostic accuracy correlated strongly with increased diagnostic confidence and increased clinician comfort level managing patients without an EEG (p < 0.001). Staff physicians had a 24% higher likelihood of making a correct diagnosis than trainees. SIGNIFICANCE/CONCLUSIONS:Smartphone videos, especially when enhanced by brief IESS training, can facilitate triage and early identification of infantile ES, reducing diagnostic delays in this time-sensitive condition. PLAIN LANGUAGE SUMMARY/CONCLUSIONS:Infantile epileptic spasms syndrome is associated with severe developmental impacts, which can be worsened by delayed treatment. Rapid diagnosis is critical, especially in resource-limited settings lacking specialists and timely access to diagnostic tests. Our study found that clinician participants identified epileptic spasms, the hallmark seizure type of this condition, based on video alone with moderately high accuracy, and accuracy improved after education and clinical information. Thus, smartphone videos, particularly when enhanced by brief training, may be an effective tool to triage movements concerning for epileptic spasms, potentially improving resource allocation and reducing diagnostic delays in this urgent childhood epilepsy condition.

OBJECTIVE:receptor-related epilepsies. Here, we extend these observations with a retrospective observational study evaluating the response to vinpocetine in an additional seven patients. METHODS:Patients initiated treatment with vinpocetine between 2018 and 2025 at the Danish Epilepsy Centre or abroad. Clinical data were collected from medical records, seizure diaries, and neuropsychological assessments. The modulatory efficacy of vinpocetine was investigated using electrophysiological studies. RESULTS:receptor LoF variants were given add-on vinpocetine treatment. Electrophysiological analyses confirmed dose-dependent positive modulation by vinpocetine across tested variants. Six patients with a median age of 15.5 years (range = 6-29) continued treatment for a median of 24 months (range = 12-90), whereas three discontinued due to adverse effects (AEs) or lack of efficacy. The patients' level of function ranged from normal to moderate intellectual disability, psychiatric comorbidities, and behavioral disturbances. Four patients initiated vinpocetine due to uncontrolled seizures. One became seizure-free, and two experienced a 50%-55% reduction. Electroencephalograms demonstrated improved spike-wave indexes in four patients. Six showed improvement in nonseizure factors, and caregivers reported reduced aggressivity and better vocabulary in one. Vinpocetine was well tolerated, with only mild and reversible AEs reported. SIGNIFICANCE/CONCLUSIONS:receptor-related epilepsies, which should be investigated further in future N-of-1 trials.

Polyaminopathies are a recently described family of rare genetic neurodevelopmental disorders. Polyaminopathies disrupt the biosynthesis of the primary polyamines: putrescine, spermidine, and spermine. Snyder-Robinson syndrome results from hemizygous loss-of-function variants in the spermine synthase (SMS) gene, resulting in decreased or complete loss of spermine synthase enzyme activity. Bachmann-Bupp syndrome results from heterozygous gain-of-function variants in the ornithine decarboxylase 1 (ODC1) gene, resulting in increased ornithine decarboxylase enzyme activity. Faundes-Banka syndrome results from heterozygous loss-of-function variants in the eukaryotic translation initiation factor 5A (EIF5A) gene, impairing eIF5A protein function. DHPS (deoxyhypusine synthase) deficiency is an autosomal recessive disease and results from bi-allelic hypomorphic variants in the deoxyhypusine synthase (DHPS) gene, which results in reduced deoxyhypusine synthase enzyme activity. Finally, DOHH (deoxyhypusine hydroxylase) disorder is an autosomal recessive disorder caused by bi-allelic loss-of-function variants in the deoxyhypusine hydroxylase (DOHH) gene, which causes decreased deoxyhypusine hydroxylase enzyme activity. Snyder-Robinson syndrome was first described in 1969, while the other four syndromes have only been identified in the past 7 years. A comprehensive phenotypic and genotypic description of these five syndromes is needed. We review the clinical and genetic features of these five polyaminopathies to create an inclusive clinical resource. A systematic keyword search strategy was used to identify all published cases in PubMed, Web of Science, and Scopus databases. The five known syndromes associated with the polyamine pathway share many similar clinical phenotypes, and yet patients with each syndrome present with distinctive syndromic features. This review will serve as a valuable resource for clinicians diagnosing and caring for patients with these rare polyaminopathies.

BACKGROUND:Transcranial electrical stimulation (TES) has limited spatial focus and depth penetration, constraining its therapeutic efficacy. Intersectional Short-Pulse (ISP) stimulation was developed to overcome these limitations by delivering rapidly switching pulses that can be temporally integrated by neuronal membranes. Here, we aimed to establish the biophysical basis of ISP-induced temporal summation and to test whether this mechanism enables effective brain modulation in vivo. METHODS:We combined finite-element modeling, cadaver measurements (n = 2 human cadavers), and biophysically realistic NEURON simulations to characterize the spatial and temporal properties of ISP-induced electric fields. In vivo whole-cell patch-clamp recordings were performed in the rat somatosensory cortex (female Wistar rat) to test the membrane-level integration of sequential electric field pulses. Functional efficacy was evaluated using closed-loop ISP stimulation in a hippocampal kindling model of temporal lobe epilepsy in male Long-Evans rats (n = 11 animals, >500 induced seizures analyzed across conditions). RESULTS:Here we show that neurons integrate sequential ISP pulses in a non-vectorial, temporally accumulative manner, consistent with membrane-level charge integration rather than extracellular field superposition. ISP and conventional TES simulations produced similar instantaneous field magnitudes, but ISP stimulation resulted in more uniform neuronal excitability across brain depths. Closed-loop ISP stimulation significantly outperformed conventional TES in reducing seizure duration and severity. ISP reduced hippocampal seizure duration by 45% and 35% compared to SHAM stimulation and conventional TES, and significantly reduced motor seizure severity. CONCLUSIONS:ISP stimulation provides a non-invasive neuromodulation approach that enhances deep brain engagement through rapid, temporally structured pulse sequences. These findings demonstrate effective seizure suppression in a rodent model and support the translational potential of ISP for disorders involving pathological neural dynamics.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Severe hypoxemia after generalized convulsive seizures (GCSs) can trigger neural injury and is a potential biomarker for sudden unexpected death in epilepsy (SUDEP). Some degree of variability in interbreath interval is normal, but increased variability may suggest dysfunctional breathing control and may be associated with severe postictal hypoxemia. We evaluated the relationship between interictal breathing variability and severity and duration of hypoxemia after GCS. METHODS:nadir), and secondary outcome: occurrence of combined prolonged and pronounced hypoxemia. Univariable and multivariable models were created for primary outcomes, but only univariable analyses were performed for the secondary outcome. RESULTS:= 0.002) was the only variable significantly associated with hypoxemia severity after controlling for duration of postictal generalized EEG suppression, SD-2 of the awake interbreath interval, and body mass index. Univariable analyses for combined prolonged and pronounced hypoxemia showed SD-2 of the awake interbreath interval, temporal lobe epilepsy, ictal central apnea, and a shorter tonic phase duration were significantly associated. DISCUSSION/CONCLUSIONS:Measures of interictal respiratory variability are associated with severe and prolonged hypoxemia after GCS. Increased interictal respiratory variability suggests baseline respiratory dysregulation in some PWE and may be a surrogate for SUDEP risk.

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.

OBJECTIVE:Sudden unexpected death in epilepsy (SUDEP) often follows generalized tonic-clonic seizures during sleep, likely resulting from impaired brainstem cardiorespiratory function. We used ictal electrocardiogram (ECG)-based cross-frequency phase-amplitude coupling (PAC) to detect cardiorespiratory disruptions, comparing SUDEP to non-SUDEP cohorts. Leveraging respiratory modulation of ECG signals can provide a robust indirect proxy of respiratory monitoring despite high-amplitude noise. METHODS:We analyzed ictal ECG and electroencephalographic recordings in 21 SUDEP cases and 21 non-SUDEP epilepsy controls. Ictal ECG segments from 76 seizures (38 SUDEP, 38 non-SUDEP) were processed using continuous wavelet transformation to compute PAC between respiratory (.1-.55 Hz, 6-33 breaths per minute) and cardiac (.7-3.7 Hz, 42-222 beats per minute) frequencies. Relative PAC coupling strength was evaluated for respiratory frequencies > .25 Hz (15 breaths per minute) and cardiac frequencies > 1.7 Hz (102 beats per minute). Furthermore, a 3 × 3 grid of PAC ranges was derived for each 20-s window, yielding 18 features (mean and SD) as inputs to a logistic regression model. RESULTS:Elevated ictal PAC at higher respiratory (>.25 Hz, p < .0001) and cardiac (>1.7 Hz, p < .0142) frequencies in SUDEP patients suggests ictal respiration modulates ictal tachycardia, leading to cardiorespiratory dysfunction, probably brainstem-mediated. The logistic model accurately distinguished 38 seizures in SUDEP cases from 38 seizures in non-SUDEP cases (receiver operating characteristic area under the curve = 91%). Seizures in SUDEP patients had higher propensity scores (p < .001) both per seizure and per patient. All six test seizures (three SUDEP, three non-SUDEP) were correctly classified using the optimal threshold. SIGNIFICANCE/CONCLUSIONS:Ictal ECG-based PAC analysis is a potential noninvasive biomarker for SUDEP risk, capturing cardiorespiratory dysregulation during seizures. Its integration into wearable ECG devices could enable real-time risk assessment, informing clinical interventions such as rescue medications, antiseizure medication adjustments, or surgical evaluations.

OBJECTIVE:CDKL5 deficiency disorder (CDD) is a rare X-linked developmental and epileptic encephalopathy caused by loss-of-function variants in the CDKL5 gene. Preclinical experiments using enzyme replacement or gene therapies show promise and could be transformative therapies. This precompetitive consortium sought to harmonize nonseizure clinical endpoint selection for efficacy trials. Clinical Assessment of Neurodevelopmental Measures in CDD (CANDID) is an ongoing study evaluating the feasibility and suitability of neurocognitive tests and functioning scales in CDD patients. METHODS:CANDID is a 3-year, longitudinal, noninterventional global study involving children and adults with CDD. On-site and remote visits include clinical, behavioral, developmental, and quality of life assessments. RESULTS:We enrolled 112 patients (111 included in analyses); mean age = 8.3 years (range <1-28); 93% female; 10 participants were ≥18 years old. In the first 28 days, 82% had >16 seizures; six were seizure-free. Median seizure onset was at 1.5 months (range = 0-66). Patients used an average of 2.6 antiseizure medications at baseline. The most frequent comorbidities included gastrointestinal hypomotility, muscle tone abnormalities, and sleep disorders. Gross Motor Function Measure-88 (GMFM-88) scores indicated a floor effect in crawling, standing, and walking across all ages. Vineland-3 and Bayley-4 scores could be derived in most, with receptive language, interpersonal relationships, and fine and gross motor scores increasing with age. Bruni sleep questionnaire identified sleep initiation, sleep-awake transition, and excessive somnolence as the most disrupted components across all age groups. The mean Quality of Life Inventory-Disability total scores ranged from 53% to 64%, the independence domain being the most impacted. SIGNIFICANCE/CONCLUSIONS:The scales in the CANDID study capture disease-related deficits and phenotype variability in CDD. Floor effects in subdomains aligned with disease severity. The GMFM-88 lacks granularity, and its operational limitations make it unsuitable for CDD trials. Baseline analyses demonstrate the feasibility and potential value of most selected scales, supporting their use in optimizing trial design and endpoint selection for future CDD clinical trials.

OBJECTIVES/OBJECTIVE:Temporal lobe epilepsy (TLE) impacts multiple brain networks. Aberrant functional connectivity has been demonstrated in resting-state networks (RSNs) that mediate higher brain functions in TLE. This study aimed to identify the reproducible patterns of altered functional connectivity in TLE in a large, international cohort through ENIGMA-Epilepsy. METHODS:Resting-state functional MRI datasets from nine centers across North America, South America, Europe and South Africa, including 442 people with TLE and 387 healthy adults, were analyzed. We examined group differences in whole-brain connectivity in patients compared to controls in seven major RSNs. We also investigated whole-brain connectivity maps for key nodes within the default mode network (DMN). Furthermore, the associations between connectivity patterns and clinical variables were assessed. RESULTS:We found lower within-network connectivity scores (13.6% on average) and higher between-network connectivity scores (129% on average) in non-limbic RSN in TLE. This pattern was reproducible across all seven sites and most robust for DMN and visual networks. Patterns of connectivity were not associated with age of seizure onset or disease duration and were mostly similar in patients with left and right TLE with a few exceptions; isolated regions of high connectivity in left TLE and lower connectivity in right TLE compared to controls. SIGNIFICANCE/CONCLUSIONS:We show strong evidence of lower connectivity within most RSNs and higher connectivity outside of these networks that was highly consistent across geographically diverse sites, demonstrating the robustness and generalizability of our findings. The findings demonstrate a consistent disruption of network organization in TLE that may underlie cognitive co-morbidities and seizure propagation patterns observed in this patient population. PLAIN LANGUAGE SUMMARY/CONCLUSIONS:In this international ENIGMA-Epilepsy study, resting-state fMRI data from 442 individuals with TLE showed reduced connectivity within major resting-state networks (about 14% lower) and markedly increased connectivity between networks (about 129% higher), compared to 387 healthy controls. These patterns were highly reproducible across sites. Connectivity alterations were not related to age of onset or disease duration and were largely similar across left and right TLE, aside from small, region-specific differences. Overall, the study demonstrates a robust, widespread reorganization of brain network connectivity in TLE, which may help explain associated cognitive difficulties and seizure spread.