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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).
- Source :
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Seizure [Seizure] 2023 Aug; Vol. 110, pp. 28-41. Date of Electronic Publication: 2023 May 29. - Publication Year :
- 2023
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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.<br />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.<br />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.<br />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.<br />Competing Interests: Declaration of Competing Interest None of the authors has any conflicts of interest to disclose.<br /> (Copyright © 2023. Published by Elsevier Ltd.)
- Subjects :
- Child, Preschool
Female
Humans
Infant
Infant, Newborn
Male
Age of Onset
Alpha Rhythm
Biomedical Research
Cerebral Cortex abnormalities
Cerebral Cortex diagnostic imaging
Cerebral Cortex pathology
Cerebral Cortex physiopathology
Epilepsies, Partial diagnostic imaging
Epilepsies, Partial etiology
Epilepsies, Partial pathology
Epilepsies, Partial physiopathology
Eye Movements
Follow-Up Studies
Latent Class Analysis
Longitudinal Studies
Neuroimaging
Sleep Stages
Theta Rhythm
Wakefulness
Electroencephalography
Epilepsy diagnostic imaging
Epilepsy etiology
Epilepsy pathology
Epilepsy physiopathology
Microcephaly diagnostic imaging
Microcephaly etiology
Microcephaly pathology
Microcephaly physiopathology
Zika Virus Infection complications
Zika Virus Infection diagnostic imaging
Zika Virus Infection pathology
Zika Virus Infection physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1532-2688
- Volume :
- 110
- Database :
- MEDLINE
- Journal :
- Seizure
- Publication Type :
- Academic Journal
- Accession number :
- 37302158
- Full Text :
- https://doi.org/10.1016/j.seizure.2023.05.019