Pediatric Neurology

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Targeted Therapy for Recurrent Seizure-Related GRIN1 Variant

This case study detailed a pediatric patient with drug-resistant seizures and early-onset epileptic encephalopathy who carried a GRIN1 variant.

Reading Problems in Childhood Tied to Poorer Memory Scores in Adulthood

Reading problems in childhood are associated with poorer memory scores at age 43 years, but not with rate of memory decline.

ACIP: Benefits of mRNA COVID-19 Vaccines Outweigh Risks for ≥12s

The benefits of mRNA COVID-19 vaccines outweigh the risks, including myocarditis, for all ages.

The Pediatric Narcolepsy Severity Scale is Useful in Clinical Practice

The Pediatric Narcolepsy Severity Scale (NSS-P) is a valuable tool to measure narcolepsy symptoms in school-aged children and adolescents,

Osmophobia May Be a Clinical Diagnostic Marker of Pediatric Migraine

Study researchers evaluated the potential of osmophobia in as a clinical diagnostic marker of migraine in children and adolescents.

Relationship Between Kawasaki Disease Heterogeneity and Cognitive Development of Patients, Caregiver Stress

Study researchers sought to assess the link between Kawasaki disease and patient cognitive profiles or caregiver parenting stress.

Prefrontal Cortical Thinning Associated With Increased Cannabis Use During Adolescence

Researchers examined the extent cannabis use is associated with magnetic resonance imaging–measured cerebral cortical thickness development during adolescence.

Variation in Neurologic Criteria Protocols for Pediatric Brain Death in the United States

To evaluate the variability in pediatric death by neurologic criteria (DNC) protocols, study investigators assessed US pediatric institutions and compared them to the 2011 DNC guidelines.

Pediatric Communicating Hydrocephalus With Intraventricular CSF Turbulence: Case Report

This case report detailed a pediatric patient with progressive macrocephaly who presented with communicating hydrocephalus and intraventricular cerebrospinal fluid turbulence.

Predictive Models for Clinical Characteristics Linked to Pediatric Neurofibromatosis Type 1

Researchers applied a machine learning strategy in a longitudinal analysis of clinical features linked to neurofibromatosis type 1 in pediatric patients.