Epileptic seizure semiology in infants and children

Park, Jun; Vaca, Guadalupe Fernandez‐Baca

doi:10.1016/j.seizure.2019.10.015

Cited by 17 publications

(12 citation statements)

References 42 publications

(49 reference statements)

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“… 89 , 94 , 95 The fact that children often harbor challenging DRE with a higher proportion of malformations of cortical development and extensive multi‐lobar EZs that are difficult to localize, map, and completely resect could explain the poorer seizure control observed in our study. 89 , 94 , 95 In addition, the description of auras may often be imprecise in younger children, 50 , 51 which may render the identification of the EZ more challenging and result in suboptimal postoperative seizure control.…”

Section: Discussionmentioning

confidence: 99%

“…The incidence of auras (e. pain or laryngeal constriction during seizure), side of hemispheric dominance, and postoperative dysphasia were reported both for the entire cohort and excluding preschool age children (<6 years) as this subgroup is inherently different and is generally unable to report subjective manifestations, 32 , 50 , 51 has higher likelihood of atypical language representation (eg, right‐side or bilateral), and harbors neuroplasticity with greater potential for postoperative language recovery, respectively. 52 , 53 , 54 , 55 …”

Section: Methodsmentioning

confidence: 99%

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Predictors of outcomes after surgery for medically intractable insular epilepsy: A systematic review and individual participant data meta‐analysis

et al. 2022

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Insular epilepsy (IE) is an increasingly recognized cause of drug-resistant epilepsy amenable to surgery. However, concerns of suboptimal seizure control and permanent neurological morbidity hamper widespread adoption of surgery for IE.We performed a systematic review and individual participant data meta-analysis to determine the efficacy and safety profile of surgery for IE and identify predictors of outcomes. Of 2483 unique citations, 24 retrospective studies reporting on 312 participants were eligible for inclusion. The median follow-up duration was 2.58 years (range, 0-17 years), and 206 (66.7%) patients were seizure-free at last follow-up. Younger age at surgery

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Predictors of outcomes after surgery for medically intractable insular epilepsy: A systematic review and individual participant data meta‐analysis

et al. 2022

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“…Epilepsy is one of the most common neurological diseases seen in children, with the highest incidence in the first year of life ( Fine and Wirrell, 2020 ). The seizure semiotics in infants and children are simpler than those in adolescents and adults ( Park et al, 2020 ). The causes and clinical spectrum of epilepsy are extremely wide-ranging in children ( Guerrini, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic and Phenotype Analysis of a Chinese Cohort of Infants and Children With Epilepsy

Zhang

Cai²,

Li³

et al. 2022

Front. Genet.

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Background: Epilepsy in childhood is a common and diverse neurological disorder. We conducted a genetic and phenotype analysis of a Chinese cohort of infants and children with epilepsy.Methods: We conducted a pedigree analysis of 260 Chinese patients with epilepsy onset during infancy or childhood by whole exome sequencing (WES).Results: Of the 260 probands analyzed, a genetic diagnosis was established in 135 patients. One-hundred eighty-eight phenotypes were detected in those 135 positive/likely positive patients, 106 patients had more than two phenotypes, and 67 patients had more than three phenotypes. A total of 142 variants of 81 genes were detected among the positive/likely positive patients. Among these 142 variants, of which 87 of 66 genes were novel.Conclusion: Our findings extend the variant spectrum of genes related to epilepsy. Our results will be useful for genetic testing and counseling for patients with epilepsy.

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“…These aspects might jeopardize the acceptance of the methodology and question its generalization ability in a clinical setting. In addition, using the EEG signals from subjects with wide age range one might expect developmental changes in characteristics (e.g., seizure semiology [56] or interictal discharges [57]) that should be evaluated separately in narrower age groups during thorough studies, including the developmental characteristics of the information dynamics measures. On the other hand, comparable group sizes are used in other works on the dynamics of epilepsy, such as in [58] for recurrence quantification analysis, or in [59] for studying heart rate variability as an indicator of autonomic dysregulation.…”

Section: Discussionmentioning

confidence: 99%

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

et al. 2020

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This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG components which maximize the variance between two experimental conditions, simultaneous implementation of vector autoregressive modeling (VAR) with independent component analysis to describe the joint source dynamics and their projection to the scalp, and computation of information dynamics measures (information storage, information transfer, statistically significant network links) from the source VAR parameters. The proposed framework was tested on simulated EEGs obtained mixing source signals generated under different coupling conditions, showing its ability to retrieve source information dynamics from the scalp signals. Then, it was applied to investigate scalp and source brain connectivity in a group of children manifesting episodes of focal and generalized epilepsy; the analysis was performed on EEG signals lasting 5 s, collected in two consecutive windows preceding and one window following each ictal episode. Our results show that generalized seizures are associated with a significant decrease from pre-ictal to post-ictal periods of the information stored in the signals and of the information transferred among them, reflecting reduced self-predictability and causal connectivity at the level of both scalp and source brain dynamics. On the contrary, in the case of focal seizures the scalp EEG activity was not discriminated across conditions by any information measure, while source analysis revealed a tendency of the measures of information transfer to increase just before seizures and to decrease just after seizures. These results suggest that focal epileptic seizures are associated with a reorganization of the topology of EEG brain networks which is only visible analyzing connectivity among the brain sources. Our findings emphasize the importance of EEG modeling approaches able to deal with the adverse effects of volume conduction on brain connectivity analysis, and their potential relevance to the development of strategies for prediction and clinical treatment of epilepsy.

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Epileptic seizure semiology in infants and children

Cited by 17 publications

References 42 publications

Predictors of outcomes after surgery for medically intractable insular epilepsy: A systematic review and individual participant data meta‐analysis

Predictors of outcomes after surgery for medically intractable insular epilepsy: A systematic review and individual participant data meta‐analysis

Genetic and Phenotype Analysis of a Chinese Cohort of Infants and Children With Epilepsy

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

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