Literature DB >> 18834684

Changing ictal-onset EEG patterns in children with cortical dysplasia.

Elaine Galicia1, Katsumi Imai, Ismail S Mohamed, Cristina Go, Ayataka Fujimoto, Ayako Ochi, Ryoichi Sakuta, William Halliday, James T Rutka, Sylvester H Chuang, O Carter Snead, Hiroshi Otsubo.   

Abstract

PURPOSE: Cortical dysplasia (CD) is intrinsically epileptogenic. We hypothesize that CDs clinically emerging in the early developing brain tend to extend into multifocal or larger epileptic networks to pronounce intractability in contrast to CDs which clinically emerge at a later age.
METHODS: We evaluated the spatial and temporal profiles of ictal-onset EEG patterns in children with histopathologically confirmed CD. We designated Group A as children with changing ictal-onset EEG patterns over time, and Group B without change. We compared seizure profiles, consecutive scalp video-EEGs (VEEGs), MRI, MEG, and surgical outcomes.
RESULTS: We found 14 children consisting of 10 Group A patients (7 girls) and 4 Group B patients (all boys). Eight (80%) Group A patients had their seizure onset <5 years while all Group B patients had seizure onset >or=5 years (p<.05). Changes of ictal onset EEG pattern in Group A consisted of bilateral (4 patients), extending (2); extending and bilateral (2); and generalized (2). We saw MRI lesions (6) and single clustered MEG spike sources (MEGSSs) in (5). Six patients underwent surgery before 15 years of age, and 4 of them attained seizure freedom. All 4 Group B patients had MRI lesions and single clustered MEGSSs. Three patients underwent surgery after 15 years of age. All 4 patients attained seizure freedom.
CONCLUSION: Ictal-onset EEG patterns change over time in children with early seizure onset and intractable epilepsy caused by CD. Younger epileptic children with CD more frequently have multifocal epileptogenic foci or larger epileptogenic foci. Early resection of CD, guided by MRI, MEG, and intracranial video EEG, resulted in seizure freedom despite changes in ictal-onset EEG patterns.

Entities:  

Mesh:

Year:  2008        PMID: 18834684     DOI: 10.1016/j.braindev.2008.08.011

Source DB:  PubMed          Journal:  Brain Dev        ISSN: 0387-7604            Impact factor:   1.961


  4 in total

1.  Brain Network Architecture and Global Intelligence in Children with Focal Epilepsy.

Authors:  M J Paldino; F Golriz; M L Chapieski; W Zhang; Z D Chu
Journal:  AJNR Am J Neuroradiol       Date:  2016-10-13       Impact factor: 3.825

2.  Failure to Identify the Left Arcuate Fasciculus at Diffusion Tractography Is a Specific Marker of Language Dysfunction in Pediatric Patients with Polymicrogyria.

Authors:  Michael J Paldino; Kara Hedges; Nadine Gaab; Albert M Galaburda; P Ellen Grant
Journal:  Behav Neurol       Date:  2015-05-28       Impact factor: 3.342

3.  Metrics of brain network architecture capture the impact of disease in children with epilepsy.

Authors:  Michael J Paldino; Wei Zhang; Zili D Chu; Farahnaz Golriz
Journal:  Neuroimage Clin       Date:  2016-12-12       Impact factor: 4.881

4.  Normalization enhances brain network features that predict individual intelligence in children with epilepsy.

Authors:  Michael J Paldino; Farahnaz Golriz; Wei Zhang; Zili D Chu
Journal:  PLoS One       Date:  2019-03-05       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.