Pediatric Neurology

Background: Rett syndrome (RTT), a rare neurodevelopmental disorder caused primarily by pathogenic variants in the MECP2 gene, is characterized by severe cognitive, motor, and autonomic impairments. Atypical sensory processing, including co-occurring hypo- and hyper-responsivity, is a core yet poorly understood feature. While evoked potentials (EPs) show delayed and attenuated sensory responses in RTT, the underlying mechanisms of these impairments remain unclear. Inter-trial phase coherence (ITPC), which quantifies trial-by-trial neural response consistency, offers a promising functional biomarker of variability in sensory processing. Methods: We characterized caregiver-reported sensory responsivity in 32 individuals with RTT (all female) and 28 typically developing controls (26 female, 2 male). EPs were then recorded during passive visual and auditory stimulation and ITPC was computed to assess whether variability in the timing of neural responses could account for reduced EP amplitudes and atypical sensory responsivity. Results: Hypo- and hyper-responsivity to sensory stimuli were both significantly elevated in RTT and were positively correlated, co-occurring within individuals. ITPC was significantly reduced in RTT across visual and auditory modalities and was associated with reduced EP amplitudes. Notably, reduced ITPC in visual-evoked potentials was further associated with elevated visual responsivity and greater behavioral symptom severity. Conclusions: Increased variability in neural response timing may contribute to both reduced EPs and atypical sensory responsivity in RTT, supporting ITPC as a functional biomarker. Decreased temporal precision of neural activity may explain the co-occurrence of hypo- and hyper-responsivity and provide a unifying framework for sensory dysfunction across neurodevelopmental disorders.

Objective: Pediatric epilepsy patients undergoing stereo-electroencephalography (sEEG) for ictal onset evaluation provide a rare window to study the developing brain. While methodological frameworks for task-based sEEG research are well-established in adults, pediatric-specific guidance remains underdeveloped. Furthermore, many pediatric epilepsy patients have comorbidities that might typically exclude them from participating in research. We examine factors that influence research participation and discuss considerations for conducting sEEG research in children. Methods: Here, we present a retrospective analysis of task-based research participation patterns from an NIH-funded study of speech and language representations (1R01DC018579) in 66 patients (ages 4-24) undergoing sEEG monitoring at Texas Children's Hospital to determine whether specific comorbidities influenced research participation. Results: Eighty-nine percent (n=66) of patients approached for consent agreed to participate in the study. Despite high rates of comorbidities including neurocognitive disorder (66.67%), language delay (31.75%), global developmental delay (23.81%), mood disorders (33.33%), ADHD (46.03%), autism spectrum disorder (14.29%) or other cognitive/intellectual disabilities (36.51%), all participants engaged in at least one task. While the majority of these diagnoses did not appear to influence subject participation, global developmental delay was associated with a significant reduction in time spent on active tasks. Discussion: Despite high prevalence of neuropsychological comorbidities among participants, our evidence suggests that these participants contribute meaningfully to studies investigating important developmental questions. We suggest strategies for tailoring task-based research to accommodate the unique needs of individuals in this population. Such practices are important for ensuring that research studies reflect the true diversity of the population.

Background/Objectives: This systematic review examines how different mechanisms of Traumatic Brain Injury (TBI) influence post-injury functional independence and aims to clarify whether recovery patterns vary by injury type. A total of 105 studies (n = 59,621) involving adults with TBI were synthesized. These findings can guide clinicians and researchers in predicting outcomes and effectively customizing rehabilitation plans. Methods: A review following PRISMA standards analyzed English-language studies published from 1975 to 2025, assessed functional outcomes using the Functional Independence Measure (FIM) or the Glasgow Outcome Scale-Extended (GOSE), converted them to z-scores, and aggregated them via a random-effects model with inverse-variance weighting to demonstrate their relevance. Results: Recreational TBIs show the highest functional independence (z = +1.77), followed by MVAs (z = +1.56), with falls (z = +0.70) and assault-related TBIs (z = -0.12) showing moderate outcomes, and TBIs with penetrating trauma (z = -1.15) indicating the most adverse results. Conclusions: TBI mechanisms appear to meaningfully influence long-term post-injury functional independence. Highlighting this can inspire clinicians and researchers to trust these insights to improve prognosis and rehabilitation strategies, underscoring their crucial role in advancing patient care.

Background/Objectives: Traumatic Brain Injuries (TBIs) often cause profound functional impairments, yet the influence of TBI mechanisms on stair-climbing functional independence over extended timelines remains poorly understood. This study assesses whether Rasch-transformed FIM Stairs scores varied by TBI mechanism over follow-ups spanning 10 years or more. Methods: Data from the TBI Model Systems database were analyzed. The original 30,768 data entries were reduced to 6,226, corresponding to individuals with at least 10 years of data. Functional Independence Measure Stairs data were transformed to logit units via Rasch analysis before being evaluated with a linear mixed-effects regression, incorporating TBI mechanisms, age, follow-up time, and their interactions, with random effects accounting for the participant ID and pre-injury residence location. Results: TBI mechanisms meaningfully shape very long-term stair-climbing. Gunshot wounds and pedestrian-related accidents are associated with poorer performances, whereas motorcycles, bicycles, unclassified vehicular accidents, winter sports, other sports, and fall-related TBIs demonstrated relatively better function. Age, follow-up time, and their interaction also reached significance. Conclusions: Stair-climbing recovery trajectories over extended time significantly vary by TBI mechanism, with individuals with TBIs from gunshots and pedestrian-related accidents showing the most unfavorable recoveries. These findings support the development of mechanism-specific prognostic guidance and individualized rehabilitation strategies, thereby encouraging tailored approaches to improve outcomes.

Background/Objectives: Traumatic Brain Injuries (TBIs) affect more than 50 million individuals worldwide each year. Approximately 90% of individuals survive and experience persistent motor, cognitive, and emotional deficits, substantially contributing to a reduced quality of life and a global economic burden. TBI mechanisms are a foundational determinant of long-term recovery. The objective of this study was to examine long-term trends in functional locomotion ability over extended follow-up durations (>10 years) across distinct TBI mechanisms. The researchers hypothesized that TBIs caused by falls or violent mechanisms would be associated with poorer functional locomotor abilities and, subsequently, lower item scores than those sustained through automotive or recreational activities. Methods: Data were obtained from the Traumatic Brain Injury Model Systems (TBIMS) database at Craig Hospital in Englewood, Colorado, the largest longitudinal TBI data repository in the world. Functional locomotion was assessed using the Functional Independence Measure (FIM) Locomotion item as the primary outcome measure. To enhance measurement precision and ensure interval-level scaling, raw FIM scores were converted into logit-based estimates of latent functional ability using Rasch modeling. Longitudinal changes of these Rasch-transformed scores were analyzed using linear mixed-effects regression, accounting for individual-level variability and unbalanced follow-up data. Results: The findings demonstrated a clinically meaningful decline in functional ability among individuals with TBIs from violent mechanisms, particularly assault-related injuries and gunshot wounds, which were associated with chronic medical complications and limited functional independence. Conversely, TBIs from bicycling, unclassified vehicular incidents, and winter sports showed significant positive estimates, possibly reflecting higher premorbid physical fitness. Motor vehicle, motorcycle, pedestrian, and fall-related TBIs demonstrated steep early gains, followed by a period of recovery stabilization and plateau. In contrast, violence-related mechanisms were characterized by consistently low median scores, with minimal long-term improvement. Falls, gymnastics, track & field, and water sports did not exhibit meaningful changes in the context of the primary hypothesis. Conclusions: TBI mechanisms play a vital role in shaping long-term functional locomotion outcomes, with violence-related TBIs associated with poorer long-term functional independence. The results have clinically important implications, supporting earlier identification of high-risk populations and the development of targeted rehabilitation strategies during periods of heightened neuroplasticity. Rasch analysis integrated with linear mixed-effects modeling yields a robust analytic framework that uncovers subtle but meaningful differences in recovery trajectories across TBI mechanisms.

Background: Stress-induced childhood-onset neurodegeneration with variable ataxia and seizures (CONDSIAS) is a rare autosomal recessive disorder caused by biallelic variants in ADPRHL2, which encodes ADP-ribosylhydrolase 3 (ARH3), a key enzyme involved in poly (ADP-ribose) (PAR) metabolism. Although Minocycline has been reported to attenuate PAR-mediated neurotoxicity primarily through modulation of PARP-dependent pathways, whether it may also interact with ARH3 or influence the structural behavior of pathogenic ARH3 variants remains unknown. This study was designed to explore this possibility by integrating clinical observation with computational structural analyses. Methods: Comprehensive clinical evaluation, targeted Sanger sequencing, and in silico pathogenicity analyses were performed. Protein modeling, molecular docking, and 100-ns molecular dynamics simulations were conducted to evaluate the predicted structural consequences of the p.Thr79Pro variant and to explore potential interactions between ARH3 and Minocycline. Results: A homozygous ADPRHL2 variant (NM_017825.3:c.235A>C; p.Thr79Pro) was identified in a child with CONDSIAS. Computational analyses predicted reduced structural stability and increased conformational flexibility of the mutant ARH3 protein relative to the wild-type structure. MM-GBSA calculations estimated differences in binding free energies between the wild-type (-34.51 kcal/mol) and mutant (-39.76 kcal/mol) ARH3-Minocycline complexes, suggesting subtle differences in their predicted energetic profiles. Clinically, neurological progression appeared stable, with improved motor function observed during approximately one year of follow-up and no notable treatment-related adverse effects. Conclusions: By integrating clinical observations with computational structural analyses, this study provides preliminary computational support for the hypothesis that Minocycline may influence ARH3 conformational behavior in addition to its proposed effects on PARP-dependent pathways. Although these findings do not demonstrate direct molecular binding or therapeutic efficacy, they provide a biologically plausible framework for future biochemical, cellular, and functional investigations. Keywords: CONDSIAS; ADPRHL2; ARH3; Minocycline; molecular docking; molecular dynamics simulation; structural bioinformatics; translational medicine

Purpose: The purpose of this study was to identify subgroups of talkers with Parkinsons disease (PD) with shared tongue, lip, and jaw articulatory amplitude behaviors. The study also sought to identify demographic and clinical features that can distinguish the identified kinematic subgroups. Methods: 53 talkers with PD and 54 controls participated. Articulatory amplitudes of the tongue, lip, and jaw were measured during a paragraph reading task using three-dimensional electromagnetic articulography. Amplitude performance profiles of the tongue, lip, and jaw were established for each talker with PD by referencing their performance to that of controls. These profiles were submitted to a hierarchical cluster analysis to identify kinematic-based subgroups. Amplitude performances were compared across subgroups to determine between-group patterns. Demographic and clinical features (e.g., age, sex, disease duration, selected perceptual speech characteristics, dysarthria severity) were compared across the identified kinematic subgroups. Results: Four main kinematic subgroups with differing amplitude performance profiles were identified. One subgroup exhibited normal to mildly exaggerated or mildly reduced amplitudes and was labeled preclinical subgroup (n = 16). Three subgroups exhibited pronounced amplitude reductions of either the tongue (n = 10), the tongue and lips (n = 12), or the tongue, lips, and jaw (n = 10). In addition, there were five talkers with PD whose performance profiles did not align with the identified four subgroups. Their performance was characterized by either pronounced amplitude exaggerations or mildly reduced jaw and lip amplitudes and exaggerated tongue amplitudes. None of the demographic or clinical features differed significantly between the main four subgroups. Conclusion: Findings suggest that the extent to which hypokinesia manifests within the articulatory subsystem can vary in talkers with PD. Longitudinal studies are needed to determine if these subgroups represent different stages of disease progression or distinctly different manifestations of the disease within the articulatory subsystem.

Autism is a heterogeneous neurodevelopmental condition, often accompanied by challenges in language and cognitive development. Although atypical functional connectivity (FC) has been reported in autism, the timing of when it first emerges and its relevance for later behavior remain poorly understood. In this study, we examined developmental trajectories of alpha-band FC and network organization across the first three years of life. We computed global alpha-band measures, including peak alpha connectivity frequency (PACF), mean FC, clustering coefficient, and modularity, to characterize nonlinear developmental trajectories from longitudinal EEGs collected from 238 children (3-to-36-month-olds) with (Autism; n=58) and without (LL-noAutism; n=180) autism. Network-based statistics (NBS-Predict) identified subnetworks contributing to group differences at each age. Exploratory graph analyses (EGA) examined associations among FC, network measures, and language outcomes. We observed that PACF increased linearly with age in both groups. Global alpha-band connectivity measures showed a similar developmental pattern, with mean global FC, clustering coefficient, and modularity all increasing rapidly during the first year in both groups. Thereafter, these measures declined in the Autism group but continued to gradually increase in the LL-noAutism group. Compared to LL-noAutism, NBS-Predict identified both hyper- and hypo-connectivity subnetworks in Autism at 3 months, followed by a hypo-connectivity subnetwork at 24 and 36 months. EGA indicated that early hyperconnectivity predicted later hypoconnectivity and was associated with subsequent network organization and language outcomes. These findings indicate that altered alpha-band connectivity trajectories are detectable in infancy in children later diagnosed with autism and may contribute to later differences in developmental outcomes.

Abstract: Background: Lacunar stroke is a common and disabling cerebrovascular disease. Small-vessel vasculopathy is thought to be the most common underlying cause, but this has only been identified on histopathology. 7T MRI allows small vessels to be seen in vivo. This study aimed to investigate rates of small vessel vasculopathy in lacunar stroke using 7T MRI. Methods: Patients with lacunar stroke at an Australian tertiary stroke centre were prospectively screened and recruited to the study. Patients underwent 7T MRI with T1, T2, time-of-flight (TOF), diffusion-weighted imaging (DWI) and susceptibility-weighted imaging (SWI) sequences. Images were interpreted by two blinded neuroradiologists. Results: The likely symptomatic perforator could be identified in 16/19 (84%) of cases. Amongst cases where the symptomatic perforator was observed, 14/16 (88%) of the symptomatic perforator vessels had focal stenosis consistent with steno-occlusive vasculopathy. There were 3/19 (16%) of cases with associated large artery vasculopathy. There were 7/16 (44%) cases where an occluded perforator was seen. The majority of patients had at least one vascular risk factor (15/19, 79%) and there were no cases where non-atherosclerotic vasculopathy was suspected. Conclusions: Lacunar stroke is commonly associated with small vessel vasculopathy, likely due to atherosclerosis, which can be identified in vivo with 7T MRI time-of-flight imaging.

Background To build a clinically translatable neonatal seizure detection algorithm using amplitude-integrated electroencephalography (aEEG) and compressed spectral array (CSA). Methods Using a public dataset of annotated neonatal EEGs, features of the aEEG and CSA were extracted from the left and right centroparietal electrodes. These features were then used to train and test three machine learning classifiers, Random Forest (RF), Support Vector Machines (SVM), and Artificial Neural Networks (ANN). Results The trained RF, SVM, and ANN classifiers had areas under the curve (AUC) of 0.80, 0.69, and 0.79 for capturing seizure time periods and an average accuracy of 0.91, 0.90, and 0.92 respectively for capturing seizure and non-seizure time periods. Median accuracy scores were higher among patients without hypoxic-ischemic encephalopathy (HIE; median = 1 for all three classifiers) than HIE patients (median = 0.92, 0.93, 0.93). Conclusion A clinically interpretable aEEG-CSA algorithm is feasible for neonatal seizure detection by extracting standard EEG features and coupling these features with a supervised ML classifier.

Background: Gait impairment is common among people with multiple sclerosis (PwMS) and is an important marker of disease progression. However, gait assessments typically require in-person evaluations. Objective: To describe the pose-estimation-based method for estimating spatiotemporal gait parameters from a single consumer-grade video, and evaluate the feasibility of home video collection by PwMS. Methods: In a single-center longitudinal digital phenotyping study, ambulatory adults with MS completed a standardized walking task recorded in the frontal plane. Pose estimation (MediaPipe Pose, Ultralytics) and custom scripts were used to estimate gait parameters from videos. Participants were invited to record walking videos at home using personal devices. Adoption and technical feasibility were evaluated across two home video data acquisition phases, with iterative protocol refinements. Results: The in-clinic study included 132 participants; 55 contributed home videos. In Phase I, while home video adoption was low (45% [30/66]), 87% [26/30] uploaded [≥]1 video of sufficient quality for gait analysis. After protocol refinements, 100% [25/25] uploaded [≥]1 high-quality video. Overall, high-quality frontal-plane videos were obtained at similar rates at home (92% [97/105]) and in-clinic (91% [423/467]). Conclusions: Home walking videos can feasibly be collected by PwMS to estimate gait parameters, providing an accessible approach for remote gait monitoring.

BACKGROUND Accurate differential diagnosis of complex neurological disorders remains challenging due to overlapping clinical features and heterogeneous disease presentations. Although large language models (LLMs) show promise in clinical reasoning, prior studies benchmark performance against clinician consensus rather than biological ground truth. A neuropathologically confirmed benchmark dataset for evaluating diagnostic AI in neurology is currently lacking. METHODS We introduce NeuroBench, a curated benchmark of complex neurological cases with neuropathologically confirmed gold-standard diagnoses, and DIAGNO, a confidence-aware LLM-based system for neurological diagnosis. NeuroBench comprises 203 retrospective case summaries from the Massachusetts General Hospital Brain Cutting Conference with corresponding autopsy-confirmed diagnoses. DIAGNO generated top-3 differential diagnoses, employing retrieval-augmented generation (RAG) for lower-confidence cases. Performance was assessed by three independent blinded adjudicators who evaluated both DIAGNO and neurologists against neuropathological ground truth. RESULTS NeuroBench encompassed 79 unique neuropathological diagnoses, spanning conditions including cerebrovascular disease, brain tumors, neurological infections, and various neurodegenerative and inflammatory disorders. DIAGNO matched or outperformed neurologists in top-3 accuracy (0.67 versus 0.63) and taxonomy-level accuracy (0.74 versus 0.66). In cases of disagreement, DIAGNO was more often correct than neurologists (29 versus 19 cases). Diagnostic concordance between DIAGNO and neurologists was high (90% agreement in top-3 predictions), even when both were incorrect, suggesting strong alignment in diagnostic reasoning. On NeuroBench, DIAGNO also outperformed GPT-4o baseline and DeepSeek R1 across all top-k accuracy metrics. In a real-world evaluation on eight complex cases with differentials from Mass General Brigham, neurologists rated DIAGNO's reasoning favorably (mean 4.03/5) across multiple dimensions of clinical utility and safety. CONCLUSIONS NeuroBench establishes neuropathological confirmation as the appropriate standard for evaluating diagnostic AI in neurology, moving beyond clinician-referenced benchmarking to define the ceiling of diagnostic accuracy. Evaluated against this standard, DIAGNO achieved expert-level diagnostic performance and received favorable clinician ratings in real-world applications, supporting its potential as a clinical decision-support tool in neurology.

Abstract Importance: Drug-resistant focal epilepsy affects approximately 30% of children with epilepsy and carries excess mortality, impaired neurodevelopment, and substantial costs. Epilepsy surgery is underutilized despite proven superiority over medical management. MRI-guided laser interstitial thermal therapy (MRgLITT) is a minimally invasive alternative to open resection, but comparative evidence to guide procedure selection is limited. Objective: To estimate lifetime outcomes and costs of epilepsy surgery versus medical management for pediatric drug-resistant focal epilepsy, and to provide etiology-informed guidance for choosing between open resection and MRgLITT. Design: Markov decision analytic model with a lifetime horizon, parameterized from published systematic reviews, meta-analyses, and cohort studies. Setting: United States, healthcare payer perspective. Participants: Hypothetical cohort of 10-year-old children with drug-resistant focal epilepsy and a seizure focus <3 cm3. Interventions: Best medical management, open resective surgery, or MRgLITT. Main Outcomes and Measures: Quality-adjusted life years (QALYs), lifetime direct medical costs, incremental cost-effectiveness ratios, and lifetime survival. Seizure outcomes were classified as seizure freedom or disabling seizures. Cost-effectiveness was assessed at $100,000/QALY. Results: Both surgical strategies were associated with a 4.6-year survival advantage, 3.6 additional lifetime QALYs, and lower costs than medical management. MRgLITT yielded 22.64 QALYs at $120,943; open resection yielded 22.62 QALYs at $121,650; medical management yielded 19.00 QALYs at $127,471. The difference between MRgLITT and open resection was 0.015 QALYs, reflecting near-equivalent effectiveness; in probabilistic sensitivity analysis, MRgLITT was optimal in 50.3% of iterations and open resection in 38.3%, with neither showing clear superiority. Etiology-specific analyses favored MRgLITT for focal cortical dysplasia and mesial temporal sclerosis, and open resection for tumor-related and cavernoma-related epilepsy. Conclusions and Relevance: Both open resection and MRgLITT were associated with substantially better lifetime outcomes and lower costs than medical management, supporting early surgical referral. Overall effectiveness between surgical approaches was clinically similar, with neither demonstrating clear superiority; the model suggests epilepsy etiology, rather than expected effectiveness alone, should guide procedure selection between MRgLITT and open resection.

Background and Purpose- Prehospital large-vessel occlusion (LVO) scales identify severe stroke syndromes but may not distinguish LVO from intracerebral hemorrhage (ICH). We aimed to prospectively validate the PreICH scale, with the primary diagnostic objective of differentiating ICH from confirmed LVO, and to explore whether additional hemorrhage-oriented variables could refine its performance. Methods- We conducted a prospective observational study of consecutive stroke-code activations evaluated before neuroimaging by a vascular neurologist. PreICH was calculated prospectively. Patients with calculable PreICH and valid final diagnosis were included. The primary diagnostic cohort comprised confirmed LVO and ICH. Secondary cohorts included ischemic stroke versus ICH and the overall stroke-code cohort, including stroke mimics. Multivariable NIHSS-adjusted models identified variables associated with ICH. A modified PreICH score (mPreICH) was derived post hoc and evaluated as exploratory apparent performance. Results- Among 1012 screened activations, 982 patients were analyzed: 597 ischemic strokes, 91 ICH, and 294 stroke mimics. The LVO-versus-ICH cohort included 144 LVO and 91 ICH. NIHSS and RACE were higher in ICH than in ischemic stroke, but did not differ between LVO and ICH (NIHSS, 13 [IQR, 7-20] versus 15 [5-23], P=0.300; RACE, 5 [2-8] versus 6 [2-8], P=0.435). In the LVO-versus-ICH cohort, PreICH showed an AUC of 0.758 (95% CI, 0.696-0.820), whereas RACE did not discriminate LVO from ICH (AUC, 0.530 [95% CI, 0.453-0.607]). The exploratory mPreICH showed apparent AUCs of 0.835 (95% CI, 0.785-0.884) for ischemic stroke versus ICH and 0.798 (95% CI, 0.740-0.856) for LVO versus ICH. Conclusions- In this prospective stroke-code cohort, severity-based scales distinguished ICH from the overall ischemic stroke population but showed limited ability to differentiate LVO from ICH. An exploratory modified PreICH scale incorporating additional hemorrhage-oriented variables improved apparent discriminative performance, including in the LVO-versus-ICH setting. External validation is required before potential implementation in prehospital decision-making.

Objectives: Explore the perspectives of primary caregivers towards pediatric tissue-based research participation. Design: Cross-sectional. Setting: Two academic pediatric gastroenterology sites in the United States, including one serving a largely rural referral population and one urban clinic population. Participants: Primary caregivers of children who underwent endoscopy between 2017-2018 at UVA or were seen in the clinic setting between 2024-2025 at Tulane and referred by their child's gastroenterologist to complete an electronic survey. Measures and Analysis: Primary caregiver attitudes, motivations, and concerns toward pediatric tissue-based research were explored using descriptive-focused coding in NVivo and a large language model (LLM) processing pipeline based on OpenAI's GPT-4 for thematic, emotional, and sentiment analyses. Results: Data were analyzed from 92 primary caregivers. Overall, respondents were amenable to having their children provide specimens for research. Primary motivations included a desire to help others or advance science, and perceived medical benefits for their child so long as specimen collection did not cause additional distress. Discomfort with participation was often linked to prior traumatic clinical experiences, concerns about additional biopsies causing unnecessary discomfort, or privacy issues. A desire to help others and potentially their own child was the strongest motivator for participation, while scheduling constraints and perceived risks to the child's health were the main barriers. Conclusions: At both sites, primary caregivers expressed strong willingness to participate in pediatric research. Primary concerns included perceived invasiveness of biospecimen collection and potential for additional discomfort. Limitations of the study included the unstructured nature of the data making the analysis and interpretation challenging. Strengths included two demographically diverse sites, intentional enrollment of primary caregivers of children both with and without invasive diagnostic testing, and use of LLM based analyses.

Study Objectives. To determine whether sleep-related respiratory disruption is associated with regionally specific alterations in sleep spindle topography and whether hypopnea-sensitive spindle features are associated with attentional performance in children. Methods. We recorded overnight high-density EEG in children across a wide range of respiratory disruption severity. Slow and fast spindle metrics were extracted per channel, and channel-wise regression models characterized topographic associations with hypopnea index (HI). Cluster-based permutation testing controlled for multiple comparisons. Hierarchically defined regions of interest were tested as predictors of attentional performance on the Test of Variables of Attention (TOVA). Results. Canonical slow-anterior and fast-posterior spindle organization was detectable across the cohort. Two HI-related topographic effects survived cluster-based permutation correction: higher HI was associated with shortened anterior fast spindle duration and with slower anterior slow spindle peak frequency. In cognitive models, anterior fast spindle duration was the strongest and most consistent predictor of attentional performance, associated with higher signal detection sensitivity, fewer omission errors, and fewer commission errors. By contrast, slow spindle peak frequency showed no attentional associations. Conclusions. Pediatric respiratory disruption is associated with regionally specific alterations in spindle morphology rather than global spindle reduction. Shortened anterior fast spindle duration showed convergent respiratory and attentional associations, suggesting that localized spindle integrity may provide a neurophysiological marker of cognitive vulnerability in pediatric sleep-disordered breathing beyond conventional clinical respiratory metrics.

Background: Motor disturbances are common in neurologic and neurodegenerative syndromes. A standard motor speed and dexterity measure is the finger tapping test (FTT). The FTT has traditionally been administered in clinic using a mechanical FTT, limiting accessibility and early motor change quantification. This study assessed the validity of a smartphone app-based FTT, which may expand access and enable more frequent testing. Methods: The cohort was diagnostically diverse, including participants with frontotemporal dementia (FTD), progressive supranuclear palsy (PSP), corticobasal syndrome, primary progressive aphasia, multiple sclerosis, and clinically unimpaired controls. Participants completed a 20-second ALLFTD Mobile App (mApp)-FTT with each hand. Tapping speed metrics were extracted. Participants completed the gold-standard mechanical FTT, a neurologist-administered finger tapping exam, the PSP Rating Scale (PSPRS) and the Unified Parkinson`s Disease Rating Scale (UPDRS). Correlations assessed mApp-FTT and mechanical FTT relationships; regressions evaluated associations with neurologist-rated finger tapping impairment, PSPRS and UPDRS, adjusting for age and sex. Results: The mApp-FTT showed moderate-to-strong correlations with the mechanical FTT (dominant: r=0.63, p<0.001; non-dominant: r=0.55, p<0.001). Taps per second were associated with PSPRS motor severity (dominant hand: std. {beta}=-0.59, 95% CI [-0.91, -0.27], p<0.001) and the UPDRS (dominant hand: std. {beta}=-0.41, 95% CI [-0.82, 0.00], p=0.049). Flight time was modestly associated with neurologist-rated finger tapping impairment (dominant hand: std. {beta}=0.15, 95% CI [0.00, 0.29], p=0.044). Conclusion: These findings support mApp-FTT validity as a measure of motor function across neurodegenerative conditions. Validation in longitudinal and unsupervised remote settings is warranted to understand scalability and evaluate change over time.

Background: Whether a patient's pain improved after emergency department (ED) treatment is read from the record to benchmark EDs, compare drugs, and label research outcomes. It is interpretable only if a post-treatment score is recorded, appropriately timed, and chosen by a fixed rule; its stability across these choices is unknown. Methods: Retrospective measurement study of adult headache visits in a de-identified ED database (MIMIC-IV-ED, 2011-2019). Among treated visits, we quantified reassessment completeness by time window, estimated meaningful relief (a reduction of at least 2 points) under score-selection rules and missing-data assumptions, tested whether reassessment was predictable at treatment, and compared headache with other painful presentations. Results: Among 19,501 visits (15,273 patients), 13,682 (70.2%) were treated. A post-treatment pain score appeared at any time for 77.1% (95% CI, 76.4 to 77.8), but within 2 hours of the analgesic for only 47.9% and within 1 hour for 27.5%. Meaningful relief was 66.9% using the first post-treatment score but 81.0% and 83.4% using the last or lowest score; it was 67.5% under inverse-probability weighting and could be bounded only between 51.8% and 74.4%. Whether a score was recorded was weakly predictable at treatment (area under the curve, 0.566) and unrelated to baseline pain. Completeness was similar across headache strata and comparator painful presentations. In an independent ED (MC-MED, a different EHR), the score-selection effect replicated: relief rose from 71.1% (first) to 80.6% (last) and 83.4% (lowest). Conclusions: Documented pain relief after ED headache treatment was not a stable outcome: it varied with the reassessment window and score-selection rule, was not point-identified for unreassessed patients, and behaved like other painful ED presentations. Programs and research that use documented relief should prespecify the reassessment window, score-selection rule, completeness denominator, and a missing-data range, and favor protocol-timed reassessment.

Orofacial clefts (OFCs), including cleft lip (CL), cleft palate (CP), and cleft lip with cleft palate (CLP), are among the most common craniofacial malformations in humans, with a birth prevalence of approximately 1 in 1,000 live births globally. Non-syndromic forms of OFC are predominantly genetic, with significant variability in prevalence across populations. Understanding the genetic underpinnings of OFCs remains a key public health priority, given the substantial medical and societal burden of these conditions. Recent genome-wide association studies (GWAS) have implicated numerous genetic loci, but challenges remain due to genetic heterogeneity and complex gene-environment interactions. This study aimed to identify sex-specific genetic risk factors for cleft lip with or without cleft palate (CL/P) through a meta-analysis of whole genome sequencing (WGS) data from 1,922 case-parent trios across eight diverse cohorts. Our approach revealed four SNPs in three distinct regions that showed genome-wide significant sex-specific effects. However, despite each of these SNPs passing standard quality control filters, follow-up analyses showed that these signals most likely were technical artifacts caused by sequencing errors, in particular mis-mapped reads due to sequence similarities with the sex chromosomes. These findings highlight the necessity for careful scrutiny when studying differences between the sexes in genetic association studies.

Verbal fluency (VF) tasks are widely used to differentiate patients with cognitive impairment from healthy controls, but total word count produced during these tasks becomes unreliable when patients and controls exhibit comparable proficiency. This study examined, in detail, whether item-level and sequential properties of words produced during a VF task could reliably differentiate high-proficiency patients indistinguishable from controls by word count alone. Seventy-seven native Mandarin Chinese speakers (38 controls and 39 patients with mild cognitive impairment or mild dementia) completed a semantic VF task. Participants were subdivided by proficiency into four groups: high-proficiency controls (HC), low-proficiency controls (LC), high-proficiency patients (HP), and low-proficiency patients (LP). The LC and HP subgroups were matched on semantic fluency scores and thus provided a key focus for the investigation. We examined item-level properties (word frequency, contextual diversity, semantic diversity, surprisal) and sequential properties (positional frequency variation) of the words produced. Significant group differences emerged across item-level psycholinguistic properties, though these were primarily driven by the LP group, with no reliable differentiation between LC and HP. Crucially, positional frequency variation distinguished LC from HP. LC participants began their lists with high-frequency words followed by a systematic decline, whereas HP patients produced words within a consistently narrow frequency band throughout. These findings indicate that item-level psycholinguistic properties alone are insufficient to differentiate HP from LC, whereas sequential word frequency variation provides a potential index of cognitive impairment, reflecting underlying differences in semantic retrieval and memory organisation. Future work with larger samples is needed to validate generalisability.