Longitudinal evolution of electroencephalogram (EEG): Findings over five years of follow-up in children with Zika-related microcephaly from the Microcephaly Epidemic Research Group Pediatric Cohort (2015-2020)

Seizure. 2023 Aug:110:28-41. doi: 10.1016/j.seizure.2023.05.019. Epub 2023 May 29.

Abstract

Objective: To assess the longitudinal evolution of EEG findings in children with Zika related-microcephaly (ZRM) and to evaluate the associations of these patterns with the children's clinical and neuroimaging characteristics.

Methods: As part of the follow-up of the Microcephaly Epidemic Research Group Pediatric Cohort (MERG-PC) in Recife, Brazil, we performed serial EEG recordings in a subgroup of children with ZRM to evaluate changes in background rhythms and epileptiform activity (EA). Latent class analysis was used to identify patterns in the evolution of EA over time; clinical and neuroimaging findings were compared across the identified groups.

Results: Out of the 72 children with ZRM who were evaluated during 190 EEGs/videoEEGs, all participants presented with abnormal background activity, 37.5% presented with an alpha-theta rhythmic activity, and 25% presented with sleep spindles, which were less commonly observed in children with epilepsy. EA changed over time in 79.2% of children, and three distinct trajectories were identified: (i) multifocal EA over time, (ii) no discharges/focal EA evolving to focal/multifocal EA, and (iii) focal/multifocal EA evolving to epileptic encephalopathy patterns (e.g., hypsarrhythmia or continuous EA in sleep). The multifocal EA over time trajectory was associated with periventricular and thalamus/basal ganglia calcifications, brainstem and corpus callosum atrophy and had less focal epilepsy, whereas the children in the trajectory which evolved to epileptic encephalopathy patterns had more frequently focal epilepsy.

Significance: These findings suggest that, in most children with ZRM, trajectories of changes in EA can be identified and associated with neuroimaging and clinical features.

Keywords: EEG; Electroencephalogram; Epilepsy; Microcephaly; Zika.

MeSH terms

  • Age of Onset
  • Alpha Rhythm
  • Biomedical Research
  • Cerebral Cortex / abnormalities
  • Cerebral Cortex / diagnostic imaging
  • Cerebral Cortex / pathology
  • Cerebral Cortex / physiopathology
  • Child, Preschool
  • Electroencephalography*
  • Epilepsies, Partial / diagnostic imaging
  • Epilepsies, Partial / etiology
  • Epilepsies, Partial / pathology
  • Epilepsies, Partial / physiopathology
  • Epilepsy* / diagnostic imaging
  • Epilepsy* / etiology
  • Epilepsy* / pathology
  • Epilepsy* / physiopathology
  • Eye Movements
  • Female
  • Follow-Up Studies
  • Humans
  • Infant
  • Infant, Newborn
  • Latent Class Analysis
  • Longitudinal Studies
  • Male
  • Microcephaly* / diagnostic imaging
  • Microcephaly* / etiology
  • Microcephaly* / pathology
  • Microcephaly* / physiopathology
  • Neuroimaging
  • Sleep Stages
  • Theta Rhythm
  • Wakefulness
  • Zika Virus Infection* / complications
  • Zika Virus Infection* / diagnostic imaging
  • Zika Virus Infection* / pathology
  • Zika Virus Infection* / physiopathology