April 24, 2026 | Latest News & Updates in Child Neurology Nursing

Early risk stratification: HINE global scores predict neurodevelopmental outcomes A new systematic review and meta-analysis pooling 21 studies and 7,299 infants offers pediatric teams sharper, earlier tools for flagging infants at risk of adverse neurodevelopmental outcomes. Researchers examined Hammersmith Infant Neurological Examination (HINE) global scores collected at 3 months (corrected age), 6, 9, and 12 months, and mapped specific cutoffs to outcomes measured after age 2. The headline finding: a HINE global score below 58 at 3 months predicted cerebral palsy with a sensitivity of 79.6% and specificity of 88.7%. The analysis also identified threshold scores signaling atypical motor development, impaired cognitive, and broader atypical neurodevelopment. The authors conclude that HINE global scores at defined cutoffs provide early, robust risk stratifications supporting timely referral to pediatric rehabilitation during the window when early intervention matters most. Key Reference Kuo T-J, Chen H-C, Wang Y-H, Tseng S-H. Hammersmith Infant Neurological Examination global scores for predicting neurodevelopmental outcomes after 2 years of age: A systematic review and meta-analysis. First published 30 June 2026. Medication safety: caution with sodium channel blockers in HCN1-related epilepsy A new case series reported worsening of seizures in children with gain-of-function HCN1-related epilepsy treated with antiseizure medications that block sodium channels, leading the authors to advise that sodium-channel-blocking drugs be used with caution in this population. The practical takeaway for bedside teams is the value of confirming the genetic diagnosis before finalizing an antiseizure regimen, since the appropriate mechanism of action can differ by underlying variant—and a medication that helps one epilepsy type can aggravate another. Key Reference Lelli S, Bleakley LE, Ackermann S, Howell KB, Szczałuba K, Moroni A, Castelli R, Melani F, Reid C, Marini C. Seizure worsening and sodium channel blockers in HCN1-related epilepsies: A case series. *Developmental Medicine & Child Neurology.* First published 25 June 2026. Family-centered care: sleep disturbances in children with cerebral palsy affect the whole family A qualitative descriptive study interviewed children with cerebral palsy who had clinically significant sleep disturbances, along with their parents and siblings, to understand how disrupted sleep affects the whole family unit—not just the patient. Six themes emerged from the interviews, and together they point to a clear need for tailored, multidisciplinary, holistic sleep assessment and intervention, plus dedicated support for the family. The takeaway for care teams is that pediatric sleep problems ripple outward to parents and siblings, so assessment and management should be family-centered rather than child-only. Key References McCavert M-E, Perra O, McConnell K, Kerr C. Sleep disturbances in children with cerebral palsy, their siblings, and parents: A qualitative descriptive study. *Developmental Medicine & Child Neurology.* First published 25 June 2026. 

AI-Based EEG Analysis Moves Closer to Clinical Pediatric Epilepsy Applications Recent reports highlighted advances in machine-learning approaches capable of identifying subtle EEG signatures associated with epilepsy before overt seizure activity is visible. Investigators are now translating these approaches to pediatric clinical datasets, with the goal of developing biomarkers that improve diagnosis and treatment selection. Key References Malik E, et al. Artificial Intelligence and Machine Learning in Pediatric Epilepsy . Neurol Ther. 2026. Mourid MR, et al. Artificial Intelligence in Pediatric Epilepsy Detection . Children (Basel). 2025. Kim H, et al. Application of Artificial Intelligence and Machine Learning in Pediatric Epilepsy . Pediatr Med. 2022. Neural Signature Identified for Predicting Attention Lapses A new report in the neuroscience literature described a neural signature that predicts delayed attentional shifting in both children and adults. Investigators demonstrated that real-time neuromodulation could reduce these lapses, raising future possibilities for neurodevelopmental disorders characterized by attentional dysfunction. Key Reference A Neural Signature to Predict Attention Shifting Delays in Children and Adults . Nature Neuroscience. June 2026. Distinct EEG Biomarkers Continue to Emerge in Genetic Epilepsies Researchers continue to identify syndrome-specific EEG signatures in genetically defined epilepsies. These findings support the growing concept that EEG biomarkers may eventually help classify genetic epilepsies and guide precision therapies. Key References Children's Hospital of Philadelphia Epilepsy NeuroGenetics Initiative (ENGIN), 2025–2026 updates. Collaborative Pediatric Epilepsy Research Networks Expand AI Initiatives At recent neurology meetings, leaders within the Pediatric Epilepsy Research Consortium (PERC) highlighted multicenter projects focused on AI, wearable technologies, seizure prediction, and standardized outcome measures in severe developmental and epileptic encephalopathies. Key Reference Patel A. Expanding Role of AI and Collaboration in Pediatric Epilepsy Research. NeurologyLive, June 2026.